pypi.org: tensorflow

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.20.0 (published 8 months ago)
• Last Synced: 2026-03-18T15:03:06.586Z (11 days ago)
• Versions: 154
• Dependent Packages: 2,172
• Dependent Repositories: 73,755
• Downloads: 21,880,506 Last month
• Docker Downloads: 1,113,359,952
• Rankings:
  • Stargazers count: 0.001%
  • Forks count: 0.003%
  • Dependent packages count: 0.012%
  • Dependent repos count: 0.018%
  • Downloads: 0.054%
  • Average: 0.059%
  • Docker downloads count: 0.264%
• Maintainers (3)
  • tf-nightly
  • mihaimaruseac
  • rostam
• Advisories:
  • TensorFlow has segfault in array_ops.upper_bound
  • TensorFlow Denial of Service vulnerability
  • TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
  • TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
  • TensorFlow vulnerable to integer overflow in EditDistance
  • TensorFlow has Null Pointer Error in TensorArrayConcatV2
  • TensorFlow has Heap-buffer-overflow in AvgPoolGrad
  • TensorFlow has Null Pointer Error in SparseSparseMaximum
  • TensorFlow has Floating Point Exception in AudioSpectrogram
  • TensorFlow vulnerable to segfault when opening multiframe gif
  • TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation
  • TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
  • TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
  • TensorFlow has segmentation fault in tfg-translate
  • TensorFlow has Null Pointer Error in LookupTableImportV2
  • TensorFlow has Floating Point Exception in TensorListSplit with XLA
  • TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
  • TensorFlow has Segfault in Bincount with XLA
  • TensorFlow has null dereference on ParallelConcat with XLA
  • TensorFlow has double free in Fractional(Max/Avg)Pool
  • TensorFlow has Floating Point Exception in TFLite in conv kernel
  • TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
  • Tensorflow vulnerable to Out-of-Bounds Read
  • `CHECK` failure in `SobolSample` via missing validation
  • `CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode
  • Invalid char to bool conversion when printing a tensor
  • Heap overflow in `QuantizeAndDequantizeV2`
  • Segfault in `CompositeTensorVariantToComponents`
  • `CHECK` fail via inputs in `PyFunc`
  • Overflow in `ResizeNearestNeighborGrad`
  • Out of bounds write in grappler in Tensorflow
  • `CHECK_EQ` fail via input in `SparseMatrixNNZ`
  • FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
  • `CHECK` fail via inputs in `SdcaOptimizer`
  • `CHECK` fail via inputs in `SparseFillEmptyRowsGrad`
  • `FractionalMaxPoolGrad` Heap out of bounds read
  • `tf.raw_ops.Mfcc` crashes
  • `MirrorPadGrad` heap out of bounds read
  • Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite
  • `CHECK_EQ` fail in `tf.raw_ops.TensorListResize`
  • Segfault in `tf.raw_ops.TensorListConcat`
  • `CHECK` fail in `BCast` overflow
  • Segfault via invalid attributes in `pywrap_tfe_src.cc`
  • FPE in `tf.image.generate_bounding_box_proposals`
  • Overflow in `tf.keras.losses.poisson`
  • Overflow in `ImageProjectiveTransformV2`
  • Overflow in `FusedResizeAndPadConv2D`
  • Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
  • Out of bounds segmentation fault due to unequal op inputs in Tensorflow
  • TensorFlow vulnerable to heap out of bounds read in filesystem glob matching
  • TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`
  • TensorFlow vulnerable to `CHECK` fail in `ParameterizedTruncatedNormal`
  • TensorFlow vulnerable to `CHECK` fail in `LRNGrad`
  • TensorFlow vulnerable to segfault in `RaggedBincount`
  • TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`
  • TensorFlow vulnerable to `CHECK` fail in `MaxPool`
  • TensorFlow vulnerable to segfault in `SparseBincount`
  • TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
  • TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`
  • TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`
  • TensorFlow vulnerable to segfault in `QuantizedMatMul`
  • TensorFlow vulnerable to segfault in `QuantizedBiasAdd`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`
  • TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`
  • TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
  • TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`
  • TensorFlow vulnerable to segfault in `QuantizedAdd`
  • TensorFlow vulnerable to segfault in `QuantizedAvgPool`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`
  • TensorFlow vulnerable to `CHECK` fail in `TensorListScatter` and `TensorListScatterV2`
  • TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`
  • TensorFlow vulnerable to `CHECK` fail in `TensorListFromTensor`
  • TensorFlow vulnerable to `CHECK` fail in `SetSize`
  • TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
  • TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`
  • TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`
  • TensorFlow vulnerable to Int overflow in `RaggedRangeOp`
  • TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`
  • TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation
  • TensorFlow vulnerable to floating point exception in `Conv2D`
  • TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
  • TensorFlow vulnerable to `CHECK` fail in `EmptyTensorList`
  • TensorFlow vulnerable to null dereference on MLIR on empty function attributes
  • TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`
  • TensorFlow vulnerable to `CHECK` fail in `Unbatch`
  • TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`
  • TensorFlow vulnerable to null dereference on MLIR on empty function attributes
  • TensorFlow vulnerable to segfault in `Requantize`
  • TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`
  • TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`
  • TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`
  • TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`
  • TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
  • TensorFlow vulnerable to integer overflow in math ops
  • TensorFlow vulnerable to assertion fail on MLIR empty edge names
  • TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
  • TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
  • TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`
  • TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`

cocoapods.org: TensorFlowLiteSwift

TensorFlow Lite for Swift

• Homepage: https://github.com/tensorflow/tensorflow
• Documentation: https://cocoadocs.org/docsets/TensorFlowLiteSwift/
• Licenses: Apache
• Latest release: 2.17.0 (published over 1 year ago)
• Last Synced: 2025-06-19T13:23:01.731Z (9 months ago)
• Versions: 1,309
• Dependent Packages: 41
• Dependent Repositories: 593
• Docker Downloads: 12
• Rankings:
  • Stargazers count: 0.001%
  • Forks count: 0.001%
  • Average: 0.096%
  • Dependent repos count: 0.184%
  • Dependent packages count: 0.198%
• Maintainers (1)
  • tensorflow-cocoapods-authors@google.com

cocoapods.org: TensorFlowLiteObjC

TensorFlow Lite for Objective-C

• Homepage: https://github.com/tensorflow/tensorflow
• Documentation: https://cocoadocs.org/docsets/TensorFlowLiteObjC/
• Licenses: Apache
• Latest release: 2.17.0 (published over 1 year ago)
• Last Synced: 2024-11-29T21:34:57.394Z (over 1 year ago)
• Versions: 1,259
• Dependent Packages: 11
• Dependent Repositories: 382
• Rankings:
  • Stargazers count: 0.001%
  • Forks count: 0.001%
  • Average: 0.254%
  • Dependent repos count: 0.256%
  • Dependent packages count: 0.757%
• Maintainers (1)
  • tensorflow-cocoapods-authors@google.com

pypi.org: tensorflow-cpu

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-cpu.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.21.0 (published 23 days ago)
• Last Synced: 2026-03-29T07:10:32.129Z (about 20 hours ago)
• Versions: 100
• Dependent Packages: 88
• Dependent Repositories: 2,483
• Downloads: 1,379,681 Last month
• Docker Downloads: 75,680,027
• Rankings:
  • Dependent repos count: 0.216%
  • Dependent packages count: 0.217%
  • Average: 0.305%
  • Downloads: 0.372%
  • Docker downloads count: 0.415%
• Maintainers (3)
  • tf-nightly
  • mihaimaruseac
  • rostam
• Advisories:
  • TensorFlow has segfault in array_ops.upper_bound
  • TensorFlow Denial of Service vulnerability
  • TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
  • TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
  • TensorFlow vulnerable to integer overflow in EditDistance
  • TensorFlow has Null Pointer Error in TensorArrayConcatV2
  • TensorFlow has Heap-buffer-overflow in AvgPoolGrad
  • TensorFlow has Null Pointer Error in SparseSparseMaximum
  • TensorFlow has Floating Point Exception in AudioSpectrogram
  • TensorFlow vulnerable to segfault when opening multiframe gif
  • TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation
  • TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
  • TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
  • TensorFlow has segmentation fault in tfg-translate
  • TensorFlow has Null Pointer Error in LookupTableImportV2
  • TensorFlow has Floating Point Exception in TensorListSplit with XLA
  • TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
  • TensorFlow has Segfault in Bincount with XLA
  • TensorFlow has null dereference on ParallelConcat with XLA
  • TensorFlow has double free in Fractional(Max/Avg)Pool
  • TensorFlow has Floating Point Exception in TFLite in conv kernel
  • TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
  • Tensorflow vulnerable to Out-of-Bounds Read
  • `CHECK` failure in `SobolSample` via missing validation
  • `CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode
  • Invalid char to bool conversion when printing a tensor
  • Heap overflow in `QuantizeAndDequantizeV2`
  • Segfault in `CompositeTensorVariantToComponents`
  • `CHECK` fail via inputs in `PyFunc`
  • Overflow in `ResizeNearestNeighborGrad`
  • Out of bounds write in grappler in Tensorflow
  • `CHECK_EQ` fail via input in `SparseMatrixNNZ`
  • FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
  • `CHECK` fail via inputs in `SdcaOptimizer`
  • `CHECK` fail via inputs in `SparseFillEmptyRowsGrad`
  • `FractionalMaxPoolGrad` Heap out of bounds read
  • `tf.raw_ops.Mfcc` crashes
  • `MirrorPadGrad` heap out of bounds read
  • `CHECK_EQ` fail in `tf.raw_ops.TensorListResize`
  • Segfault in `tf.raw_ops.TensorListConcat`
  • `CHECK` fail in `BCast` overflow
  • Segfault via invalid attributes in `pywrap_tfe_src.cc`
  • FPE in `tf.image.generate_bounding_box_proposals`
  • Overflow in `tf.keras.losses.poisson`
  • Overflow in `ImageProjectiveTransformV2`
  • Overflow in `FusedResizeAndPadConv2D`
  • Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
  • Out of bounds segmentation fault due to unequal op inputs in Tensorflow
  • TensorFlow vulnerable to heap out of bounds read in filesystem glob matching
  • TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`
  • TensorFlow vulnerable to `CHECK` fail in `ParameterizedTruncatedNormal`
  • TensorFlow vulnerable to `CHECK` fail in `LRNGrad`
  • TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`
  • TensorFlow vulnerable to `CHECK` fail in `MaxPool`
  • TensorFlow vulnerable to segfault in `SparseBincount`
  • TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
  • TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`
  • TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`
  • TensorFlow vulnerable to segfault in `QuantizedMatMul`
  • TensorFlow vulnerable to segfault in `QuantizedBiasAdd`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`
  • TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`
  • TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
  • TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`
  • TensorFlow vulnerable to segfault in `QuantizedAdd`
  • TensorFlow vulnerable to segfault in `QuantizedAvgPool`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`
  • TensorFlow vulnerable to `CHECK` fail in `TensorListScatter` and `TensorListScatterV2`
  • TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`
  • TensorFlow vulnerable to `CHECK` fail in `TensorListFromTensor`
  • TensorFlow vulnerable to `CHECK` fail in `SetSize`
  • TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
  • TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`
  • TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`
  • TensorFlow vulnerable to Int overflow in `RaggedRangeOp`
  • TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`
  • TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation
  • TensorFlow vulnerable to floating point exception in `Conv2D`
  • TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
  • TensorFlow vulnerable to null dereference on MLIR on empty function attributes
  • TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`
  • TensorFlow vulnerable to `CHECK` fail in `Unbatch`
  • TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`
  • TensorFlow vulnerable to null dereference on MLIR on empty function attributes
  • TensorFlow vulnerable to segfault in `Requantize`
  • TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`
  • TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`
  • TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`
  • TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`
  • TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
  • TensorFlow vulnerable to integer overflow in math ops
  • TensorFlow vulnerable to assertion fail on MLIR empty edge names
  • TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
  • TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
  • TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`
  • TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`
  • TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions
  • TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

pypi.org: tensorflow-gpu

Removed: please install "tensorflow" instead.

• Homepage: https://www.tensorflow.org
• Documentation: https://tensorflow-gpu.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.12.0 (published about 3 years ago)
• Last Synced: 2026-03-29T12:15:01.472Z (about 15 hours ago)
• Versions: 97
• Dependent Packages: 155
• Dependent Repositories: 11,499
• Downloads: 53,746 Last month
• Docker Downloads: 665,307
• Rankings:
  • Dependent repos count: 0.082%
  • Dependent packages count: 0.126%
  • Average: 0.391%
  • Downloads: 0.56%
  • Docker downloads count: 0.794%
• Maintainers (3)
  • tf-nightly
  • mihaimaruseac
  • rostam
• Advisories:
  • TensorFlow has segfault in array_ops.upper_bound
  • TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
  • TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
  • TensorFlow vulnerable to integer overflow in EditDistance
  • TensorFlow has Null Pointer Error in TensorArrayConcatV2
  • TensorFlow has Null Pointer Error in SparseSparseMaximum
  • TensorFlow has Floating Point Exception in AudioSpectrogram
  • TensorFlow vulnerable to segfault when opening multiframe gif
  • TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation
  • TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
  • TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
  • TensorFlow has Null Pointer Error in LookupTableImportV2
  • TensorFlow has Floating Point Exception in TensorListSplit with XLA
  • TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
  • TensorFlow has Segfault in Bincount with XLA
  • TensorFlow has null dereference on ParallelConcat with XLA
  • TensorFlow has double free in Fractional(Max/Avg)Pool
  • TensorFlow has Floating Point Exception in TFLite in conv kernel
  • TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
  • Tensorflow vulnerable to Out-of-Bounds Read
  • `CHECK` failure in `SobolSample` via missing validation
  • `CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode
  • Invalid char to bool conversion when printing a tensor
  • Heap overflow in `QuantizeAndDequantizeV2`
  • Segfault in `CompositeTensorVariantToComponents`
  • `CHECK` fail via inputs in `PyFunc`
  • Overflow in `ResizeNearestNeighborGrad`
  • Out of bounds write in grappler in Tensorflow
  • `CHECK_EQ` fail via input in `SparseMatrixNNZ`
  • FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess
  • `CHECK` fail via inputs in `SdcaOptimizer`
  • `CHECK` fail via inputs in `SparseFillEmptyRowsGrad`
  • `FractionalMaxPoolGrad` Heap out of bounds read
  • `tf.raw_ops.Mfcc` crashes
  • `MirrorPadGrad` heap out of bounds read
  • `CHECK_EQ` fail in `tf.raw_ops.TensorListResize`
  • Segfault in `tf.raw_ops.TensorListConcat`
  • `CHECK` fail in `BCast` overflow
  • Segfault via invalid attributes in `pywrap_tfe_src.cc`
  • FPE in `tf.image.generate_bounding_box_proposals`
  • Overflow in `tf.keras.losses.poisson`
  • Overflow in `ImageProjectiveTransformV2`
  • Overflow in `FusedResizeAndPadConv2D`
  • Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
  • Out of bounds segmentation fault due to unequal op inputs in Tensorflow
  • TensorFlow vulnerable to heap out of bounds read in filesystem glob matching
  • TensorFlow vulnerable to `CHECK` fail in `Save` and `SaveSlices`
  • TensorFlow vulnerable to `CHECK` fail in `ParameterizedTruncatedNormal`
  • TensorFlow vulnerable to `CHECK` fail in `LRNGrad`
  • TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`
  • TensorFlow vulnerable to `CHECK` fail in `MaxPool`
  • TensorFlow vulnerable to segfault in `SparseBincount`
  • TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`
  • TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`
  • TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`
  • TensorFlow vulnerable to segfault in `QuantizedMatMul`
  • TensorFlow vulnerable to segfault in `QuantizedBiasAdd`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`
  • TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`
  • TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
  • TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`
  • TensorFlow vulnerable to segfault in `QuantizedAdd`
  • TensorFlow vulnerable to segfault in `QuantizedAvgPool`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`
  • TensorFlow vulnerable to `CHECK` fail in `TensorListScatter` and `TensorListScatterV2`
  • TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`
  • TensorFlow vulnerable to `CHECK` fail in `TensorListFromTensor`
  • TensorFlow vulnerable to segfault in `BlockLSTMGradV2`
  • TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`
  • TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`
  • TensorFlow vulnerable to Int overflow in `RaggedRangeOp`
  • TensorFlow vulnerable to `CHECK` fail in `CollectiveGather`
  • TensorFlow vulnerable to `CHECK` failure in `TensorListReserve` via missing validation
  • TensorFlow vulnerable to floating point exception in `Conv2D`
  • TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`
  • TensorFlow vulnerable to null dereference on MLIR on empty function attributes
  • TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`
  • TensorFlow vulnerable to `CHECK` fail in `Unbatch`
  • TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`
  • TensorFlow vulnerable to null dereference on MLIR on empty function attributes
  • TensorFlow vulnerable to segfault in `Requantize`
  • TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`
  • TensorFlow vulnerable to `CHECK` fail in `AudioSummaryV2`
  • TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`
  • TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`
  • TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
  • TensorFlow vulnerable to assertion fail on MLIR empty edge names
  • TensorFlow vulnerable to `CHECK` fail in `DenseBincount`
  • TensorFlow vulnerable to `CHECK` failure in `AvgPoolOp`
  • TensorFlow vulnerable to `CHECK` fail in `QuantizeAndDequantizeV3`
  • TensorFlow vulnerable to `CHECK` fail in `RaggedTensorToVariant`
  • TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`
  • TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions
  • TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite
  • TensorFlow vulnerable to OOB read in `Gather_nd` in TF Lite
  • TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows
  • TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation
  • TensorFlow vulnerable to `CHECK` fail in `tf.sparse.cross`
  • TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`

conda-forge.org: tensorflow

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: http://tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.11.0 (published about 3 years ago)
• Last Synced: 2026-03-01T15:24:24.386Z (28 days ago)
• Versions: 35
• Dependent Packages: 114
• Dependent Repositories: 703
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.005%
  • Average: 0.412%
  • Dependent packages count: 0.684%
  • Dependent repos count: 0.958%

repo1.maven.org: org.tensorflow:tensorflow-lite

A library helps deploy machine learning models on mobile devices

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 2.17.0 (published about 1 year ago)
• Last Synced: 2026-03-28T07:40:43.295Z (2 days ago)
• Versions: 29
• Dependent Packages: 44
• Dependent Repositories: 2,338
• Rankings:
  • Forks count: 0.002%
  • Stargazers count: 0.006%
  • Dependent repos count: 0.221%
  • Average: 0.443%
  • Dependent packages count: 1.542%

proxy.golang.org: github.com/tensorflow/tensorflow

• Homepage: https://github.com/tensorflow/tensorflow
• Documentation: https://pkg.go.dev/github.com/tensorflow/tensorflow#section-documentation
• Licenses: Apache-2.0, BSD-2-Clause
• Latest release: v2.21.0+incompatible (published 25 days ago)
• Last Synced: 2026-03-27T15:30:50.331Z (2 days ago)
• Versions: 214
• Dependent Packages: 85
• Dependent Repositories: 98
• Docker Downloads: 3,274
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.0%
  • Average: 0.45%
  • Dependent packages count: 0.506%
  • Dependent repos count: 0.605%
  • Docker downloads count: 1.14%

pypi.org: tensorflow-macos

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-macos.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.16.2 (published almost 2 years ago)
• Last Synced: 2026-03-29T11:37:46.559Z (about 15 hours ago)
• Versions: 26
• Dependent Packages: 130
• Dependent Repositories: 2,634
• Downloads: 85,622 Last month
• Docker Downloads: 23,864
• Rankings:
  • Dependent packages count: 0.157%
  • Dependent repos count: 0.208%
  • Average: 0.684%
  • Downloads: 0.887%
  • Docker downloads count: 1.483%
• Maintainers (5)
  • tf-nightly
  • kulinseth
  • jhavukainen
  • dingshuhan
  • skotapati

repo1.maven.org: org.tensorflow:proto

Java API for TensorFlow protocol buffers.

• Homepage: https://www.tensorflow.org
• Documentation: https://appdoc.app/artifact/org.tensorflow/proto/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 1.15.0 (published over 6 years ago)
• Last Synced: 2026-03-27T09:01:22.438Z (3 days ago)
• Versions: 46
• Dependent Packages: 111
• Dependent Repositories: 485
• Docker Downloads: 127,947
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Dependent repos count: 0.626%
  • Dependent packages count: 0.677%
  • Average: 0.776%
  • Docker downloads count: 2.57%

pypi.org: tf-nightly

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-nightly.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.16.0 (published about 2 years ago)
• Last Synced: 2026-02-22T11:33:24.909Z (about 1 month ago)
• Versions: 1,132
• Dependent Packages: 35
• Dependent Repositories: 728
• Downloads: 186,317 Last month
• Docker Downloads: 30
• Rankings:
  • Dependent packages count: 0.316%
  • Dependent repos count: 0.454%
  • Downloads: 0.632%
  • Average: 0.91%
  • Docker downloads count: 2.239%
• Maintainers (5)
  • tf-nightly
  • mihaimaruseac
  • rishikasinha
  • rostam
  • mhudgins

repo1.maven.org: org.tensorflow:tensorflow

TensorFlow for Java: A software library for machine intelligence.

• Homepage: https://www.tensorflow.org
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 1.15.0 (published over 6 years ago)
• Last Synced: 2026-03-27T21:01:36.722Z (2 days ago)
• Versions: 49
• Dependent Packages: 85
• Dependent Repositories: 403
• Docker Downloads: 6,404
• Rankings:
  • Forks count: 0.002%
  • Stargazers count: 0.005%
  • Dependent repos count: 0.716%
  • Dependent packages count: 0.856%
  • Average: 1.049%
  • Docker downloads count: 3.664%

pypi.org: tensorflow-intel

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-intel.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.18.0 (published over 1 year ago)
• Last Synced: 2026-03-29T00:30:38.025Z (1 day ago)
• Versions: 41
• Dependent Packages: 29
• Dependent Repositories: 571
• Downloads: 300,016 Last month
• Docker Downloads: 127
• Rankings:
  • Downloads: 0.384%
  • Dependent repos count: 0.595%
  • Dependent packages count: 0.947%
  • Average: 1.133%
  • Docker downloads count: 2.606%
• Maintainers (2)
  • ejan
  • karenwu
• Advisories:
  • Authenticated Local Privilege Escalation vulnerability in Intel Optimization for Tensorflow

repo1.maven.org: org.tensorflow:libtensorflow

Pure-Java code for the TensorFlow machine intelligence library.

• Homepage: https://www.tensorflow.org
• Documentation: https://appdoc.app/artifact/org.tensorflow/libtensorflow/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 1.15.0 (published over 6 years ago)
• Last Synced: 2026-03-28T19:30:42.938Z (1 day ago)
• Versions: 49
• Dependent Packages: 46
• Dependent Repositories: 77
• Docker Downloads: 123,994
• Rankings:
  • Forks count: 0.002%
  • Stargazers count: 0.006%
  • Average: 1.291%
  • Dependent packages count: 1.484%
  • Dependent repos count: 2.316%
  • Docker downloads count: 2.646%

repo1.maven.org: org.tensorflow:tensorflow-lite-gpu

A library helps deploy machine learning models on mobile devices

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite-gpu/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 2.17.0 (published about 1 year ago)
• Last Synced: 2026-03-28T21:01:27.326Z (1 day ago)
• Versions: 22
• Dependent Packages: 12
• Dependent Repositories: 1,629
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Dependent repos count: 0.285%
  • Average: 1.365%
  • Dependent packages count: 5.17%

pypi.org: tensorflow-cpu-aws

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-cpu-aws.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.15.1 (published about 2 years ago)
• Last Synced: 2026-03-28T02:30:25.617Z (2 days ago)
• Versions: 27
• Dependent Packages: 12
• Dependent Repositories: 35
• Downloads: 259,167 Last month
• Docker Downloads: 350
• Rankings:
  • Downloads: 0.72%
  • Dependent packages count: 1.395%
  • Average: 1.598%
  • Docker downloads count: 1.808%
  • Dependent repos count: 2.471%
• Maintainers (1)
  • aws-tf-arm-builds

pypi.org: intel-tensorflow

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://intel-tensorflow.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.14.0 (published over 2 years ago)
• Last Synced: 2026-03-29T04:30:20.593Z (about 22 hours ago)
• Versions: 26
• Dependent Packages: 7
• Dependent Repositories: 55
• Downloads: 2,403 Last month
• Docker Downloads: 10,781
• Rankings:
  • Dependent packages count: 1.249%
  • Docker downloads count: 1.698%
  • Average: 1.789%
  • Dependent repos count: 1.996%
  • Downloads: 2.214%
• Maintainers (2)
  • IntelAI
  • nervanasys
• Advisories:
  • Authenticated Local Privilege Escalation vulnerability in Intel Optimization for Tensorflow

conda-forge.org: tensorflow-base

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: http://tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.11.0 (published about 3 years ago)
• Last Synced: 2026-03-03T01:26:09.990Z (27 days ago)
• Versions: 15
• Dependent Packages: 10
• Dependent Repositories: 317
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.005%
  • Dependent repos count: 1.737%
  • Average: 1.915%
  • Dependent packages count: 5.918%

proxy.golang.org: github.com/tensorflow/tensorflow/tensorflow/go

Package tensorflow is a Go binding to TensorFlow. The API is subject to change and may break at any time. TensorFlow (www.tensorflow.org) is an open source software library for numerical computation using data flow graphs. This package provides functionality to build and execute such graphs and depends on TensorFlow being available. For installation instructions see https://github.com/tensorflow/tensorflow/blob/master/tensorflow/go/README.md

• Homepage: https://github.com/tensorflow/tensorflow
• Documentation: https://pkg.go.dev/github.com/tensorflow/tensorflow/tensorflow/go#section-documentation
• Licenses: Apache-2.0, BSD-2-Clause
• Latest release: v1.15.5 (published over 3 years ago)
• Last Synced: 2026-03-17T06:36:53.425Z (13 days ago)
• Versions: 51
• Dependent Packages: 1
• Dependent Repositories: 3
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.0%
  • Average: 2.175%
  • Dependent repos count: 2.885%
  • Dependent packages count: 5.816%

repo1.maven.org: org.tensorflow:libtensorflow_jni

Platform-dependent native code for the TensorFlow Java library.

• Homepage: https://www.tensorflow.org
• Documentation: https://appdoc.app/artifact/org.tensorflow/libtensorflow_jni/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 1.15.0 (published over 6 years ago)
• Last Synced: 2026-03-11T09:21:38.639Z (19 days ago)
• Versions: 49
• Dependent Packages: 10
• Dependent Repositories: 34
• Docker Downloads: 4,922
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Average: 2.757%
  • Docker downloads count: 3.766%
  • Dependent repos count: 3.916%
  • Dependent packages count: 6.099%

pypi.org: tf-nightly-gpu

Removed: please install "tf-nightly" instead.

• Homepage: https://www.tensorflow.org
• Documentation: https://tf-nightly-gpu.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.12.0 (published about 3 years ago)
• Last Synced: 2026-03-22T03:49:50.904Z (8 days ago)
• Versions: 434
• Dependent Packages: 3
• Dependent Repositories: 229
• Downloads: 1,005 Last month
• Docker Downloads: 52
• Rankings:
  • Dependent repos count: 1.013%
  • Docker downloads count: 1.43%
  • Dependent packages count: 2.364%
  • Average: 2.789%
  • Downloads: 6.351%
• Maintainers (3)
  • tf-nightly
  • mihaimaruseac
  • rostam

pypi.org: tensorflow-rocm

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-rocm.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.9.4 (published over 3 years ago)
• Last Synced: 2026-03-19T06:50:00.256Z (11 days ago)
• Versions: 84
• Dependent Packages: 5
• Dependent Repositories: 21
• Downloads: 2,995 Last month
• Docker Downloads: 212
• Rankings:
  • Dependent packages count: 1.862%
  • Docker downloads count: 2.48%
  • Average: 2.871%
  • Dependent repos count: 3.161%
  • Downloads: 3.98%
• Maintainers (3)
  • JasonF-amd
  • rsanthanam-amd
  • sunway513

pypi.org: tensorflow-aarch64

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-aarch64.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.16.1 (published about 2 years ago)
• Last Synced: 2026-03-12T16:19:44.634Z (17 days ago)
• Versions: 51
• Dependent Packages: 9
• Dependent Repositories: 15
• Downloads: 377,919 Last month
• Docker Downloads: 1,741
• Rankings:
  • Dependent packages count: 1.138%
  • Average: 2.879%
  • Docker downloads count: 3.18%
  • Downloads: 3.465%
  • Dependent repos count: 3.733%
• Maintainers (2)
  • tirdtoon
  • agoodbody_linaro

repo1.maven.org: org.tensorflow:libtensorflow_jni_gpu

Platform-dependent native code with GPU (CUDA) support for the TensorFlow Java library.

• Homepage: https://www.tensorflow.org
• Documentation: https://appdoc.app/artifact/org.tensorflow/libtensorflow_jni_gpu/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 1.15.0 (published over 6 years ago)
• Last Synced: 2026-03-16T09:05:40.558Z (14 days ago)
• Versions: 32
• Dependent Packages: 10
• Dependent Repositories: 25
• Docker Downloads: 25
• Rankings:
  • Forks count: 0.002%
  • Stargazers count: 0.005%
  • Average: 3.407%
  • Dependent repos count: 4.743%
  • Dependent packages count: 6.099%
  • Docker downloads count: 6.184%

conda-forge.org: tensorflow-estimator

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: http://tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.11.0 (published about 3 years ago)
• Last Synced: 2026-03-01T15:22:45.257Z (28 days ago)
• Versions: 14
• Dependent Packages: 4
• Dependent Repositories: 301
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.005%
  • Dependent repos count: 1.821%
  • Average: 3.582%
  • Dependent packages count: 12.501%

anaconda.org: tensorflow

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: https://www.tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.20.0 (published 3 months ago)
• Last Synced: 2026-03-16T18:28:11.150Z (13 days ago)
• Versions: 29
• Dependent Packages: 5
• Dependent Repositories: 703
• Rankings:
  • Stargazers count: 0.0%
  • Forks count: 0.0%
  • Average: 3.608%
  • Dependent repos count: 5.676%
  • Dependent packages count: 8.756%

repo1.maven.org: org.tensorflow:tensorflow-lite-api

A library helps deploy machine learning models on mobile devices

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite-api/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 2.17.0 (published about 1 year ago)
• Last Synced: 2026-03-16T18:04:01.744Z (13 days ago)
• Versions: 13
• Dependent Packages: 7
• Dependent Repositories: 7
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Average: 4.426%
  • Dependent packages count: 8.401%
  • Dependent repos count: 9.295%

repo1.maven.org: org.tensorflow:tensorflow-android

Parent POM for the artifacts for TensorFlow for Java

• Homepage: https://github.com/tensorflow/tensorflow/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-android/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 1.13.1 (published about 7 years ago)
• Last Synced: 2026-03-15T14:36:28.754Z (15 days ago)
• Versions: 34
• Dependent Packages: 3
• Dependent Repositories: 181
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Dependent repos count: 1.259%
  • Average: 4.708%
  • Dependent packages count: 17.567%

proxy.golang.org: github.com/TensorFlow/tensorflow

• Homepage:
• Documentation: https://pkg.go.dev/github.com/TensorFlow/tensorflow#section-documentation
• Licenses:
• Latest release: v2.9.3+incompatible (published 3 days ago)
• Last Synced: 2026-03-27T11:16:05.390Z (3 days ago)
• Versions: 50
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Dependent packages count: 4.881%
  • Average: 5.045%
  • Dependent repos count: 5.209%

pypi.org: tf-nightly-intel

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-nightly-intel.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.19.0.dev20250109 (published about 1 year ago)
• Last Synced: 2026-02-22T13:01:27.641Z (about 1 month ago)
• Versions: 725
• Dependent Packages: 5
• Dependent Repositories: 2
• Downloads: 19,651 Last month
• Rankings:
  • Dependent packages count: 1.583%
  • Downloads: 2.077%
  • Average: 5.073%
  • Dependent repos count: 11.558%
• Maintainers (1)
  • IntelAI

pypi.org: tf-nightly-cpu

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-nightly-cpu.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.16.0 (published about 2 years ago)
• Last Synced: 2026-02-22T10:59:02.075Z (about 1 month ago)
• Versions: 1,134
• Dependent Packages: 2
• Dependent Repositories: 2
• Downloads: 11,603 Last month
• Docker Downloads: 107
• Rankings:
  • Downloads: 1.852%
  • Docker downloads count: 2.587%
  • Dependent packages count: 4.778%
  • Average: 5.19%
  • Dependent repos count: 11.544%
• Maintainers (3)
  • tf-nightly
  • mihaimaruseac
  • rostam

conda-forge.org: tensorflow-gpu

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: http://tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.10.0 (published over 3 years ago)
• Last Synced: 2026-03-01T15:22:28.579Z (28 days ago)
• Versions: 7
• Dependent Packages: 2
• Dependent Repositories: 181
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.005%
  • Dependent repos count: 2.575%
  • Average: 5.547%
  • Dependent packages count: 19.607%

repo1.maven.org: org.tensorflow:tensorflow-lite-select-tf-ops

A library helps deploy machine learning models on mobile devices

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite-select-tf-ops/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 2.16.1 (published almost 2 years ago)
• Last Synced: 2026-03-12T09:23:26.301Z (18 days ago)
• Versions: 14
• Dependent Packages: 1
• Dependent Repositories: 386
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Dependent repos count: 0.732%
  • Average: 8.431%
  • Dependent packages count: 32.986%

pypi.org: tf-nightly-macos

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-nightly-macos.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.12.0 (published about 3 years ago)
• Last Synced: 2026-03-14T08:46:45.335Z (16 days ago)
• Versions: 212
• Dependent Packages: 3
• Dependent Repositories: 1
• Downloads: 1,044 Last month
• Rankings:
  • Dependent packages count: 2.372%
  • Downloads: 3.494%
  • Average: 9.137%
  • Dependent repos count: 21.545%
• Maintainers (3)
  • kulinseth
  • dingshuhan
  • skotapati

pypi.org: tf-nightly-cpu-aws

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-nightly-cpu-aws.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.10.0 (published almost 4 years ago)
• Last Synced: 2026-03-26T19:42:42.474Z (3 days ago)
• Versions: 388
• Dependent Packages: 5
• Dependent Repositories: 1
• Downloads: 2,644 Last month
• Rankings:
  • Dependent packages count: 1.581%
  • Downloads: 4.488%
  • Average: 9.23%
  • Dependent repos count: 21.62%
• Maintainers (1)
  • aws-tf-arm-builds

anaconda.org: tensorflow-base

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: https://www.tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.20.0 (published 3 months ago)
• Last Synced: 2026-03-10T15:04:17.860Z (19 days ago)
• Versions: 29
• Dependent Packages: 1
• Dependent Repositories: 317
• Downloads: 1,570,954 Total
• Rankings:
  • Stargazers count: 0.0%
  • Forks count: 0.0%
  • Dependent repos count: 9.994%
  • Average: 10.162%
  • Dependent packages count: 30.655%

repo1.maven.org: org.tensorflow:tensorflow-lite-support

A library with utilities and data structures to deploy TFLite models on-device

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite-support/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 0.4.4 (published over 2 years ago)
• Last Synced: 2026-03-16T16:53:33.915Z (13 days ago)
• Versions: 13
• Dependent Packages: 17
• Dependent Repositories: 917
• Rankings:
  • Dependent repos count: 0.408%
  • Dependent packages count: 4.096%
  • Average: 10.372%
  • Forks count: 17.73%
  • Stargazers count: 19.253%

repo1.maven.org: org.tensorflow:tensorflow-lite-gpu-api

A library helps deploy machine learning models on mobile devices

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite-gpu-api/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 2.17.0 (published about 1 year ago)
• Last Synced: 2026-03-19T13:43:03.887Z (11 days ago)
• Versions: 9
• Dependent Packages: 1
• Dependent Repositories: 3
• Rankings:
  • Forks count: 0.002%
  • Stargazers count: 0.005%
  • Average: 11.694%
  • Dependent repos count: 13.781%
  • Dependent packages count: 32.986%

nuget.org: binding.tensorflow.lite.support

TensorFlow Lite Support Binding.

• Homepage: https://github.com/tensorflow/tensorflow
• Licenses: apache-2.0
• Latest release: (published 24 days ago)
• Last Synced: 2026-03-06T13:48:51.989Z (24 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Dependent repos count: 10.162%
  • Average: 12.024%
  • Dependent packages count: 13.886%

repo1.maven.org: org.tensorflow:tensorflow-lite-metadata

A util library to extract Model Metadata from TFLite Models

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite-metadata/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 0.4.4 (published over 2 years ago)
• Last Synced: 2026-03-17T18:06:35.085Z (12 days ago)
• Versions: 19
• Dependent Packages: 5
• Dependent Repositories: 526
• Rankings:
  • Dependent repos count: 0.586%
  • Dependent packages count: 11.32%
  • Average: 12.222%
  • Forks count: 17.73%
  • Stargazers count: 19.253%

cocoapods.org: RCPrivateTensorFlowLiteSwift

Forked version of TensorFlow Lite for Swift

• Homepage: https://github.com/ryan-cha/tensorflow
• Documentation: https://cocoadocs.org/docsets/RCPrivateTensorFlowLiteSwift/
• Licenses: Apache
• Latest release: 0.1.8 (published over 3 years ago)
• Last Synced: 2026-01-03T10:11:48.240Z (3 months ago)
• Versions: 7
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Stargazers count: 0.0%
  • Forks count: 0.0%
  • Dependent packages count: 11.887%
  • Average: 13.154%
  • Dependent repos count: 40.731%
• Maintainers (1)
  • dev.ryan.cha@gmail.com

conda-forge.org: libtensorflow_cc

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: http://tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.11.0 (published about 3 years ago)
• Last Synced: 2026-03-01T15:22:05.161Z (28 days ago)
• Versions: 15
• Dependent Packages: 1
• Dependent Repositories: 1
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.005%
  • Average: 13.266%
  • Dependent repos count: 24.103%
  • Dependent packages count: 28.954%

pypi.org: intel-tensorflow-avx512

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://intel-tensorflow-avx512.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.14.0 (published over 2 years ago)
• Last Synced: 2026-03-28T09:33:14.873Z (1 day ago)
• Versions: 17
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 124 Last month
• Rankings:
  • Dependent packages count: 10.095%
  • Downloads: 10.228%
  • Average: 13.98%
  • Dependent repos count: 21.615%
• Maintainers (2)
  • IntelAI
  • nervanasys
• Advisories:
  • Authenticated Local Privilege Escalation vulnerability in Intel Optimization for Tensorflow

pypi.org: tensorflow-rocm-enhanced

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-rocm-enhanced.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.4.3 (published almost 5 years ago)
• Last Synced: 2026-03-15T20:37:32.635Z (14 days ago)
• Versions: 19
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 815 Last month
• Rankings:
  • Dependent packages count: 10.044%
  • Average: 15.921%
  • Downloads: 16.067%
  • Dependent repos count: 21.651%
• Maintainers (4)
  • JasonF-amd
  • sunway513
  • parallelo
  • whchung

repo1.maven.org: org.tensorflow:tensorflow-lite-hexagon

A library helps deploy machine learning models on mobile devices

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite-hexagon/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 2.16.1 (published almost 2 years ago)
• Last Synced: 2026-03-16T07:38:19.720Z (14 days ago)
• Versions: 14
• Dependent Packages: 0
• Dependent Repositories: 3
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Dependent repos count: 13.781%
  • Average: 15.985%
  • Dependent packages count: 50.151%

repo1.maven.org: org.tensorflow:tensorflow-lite-support-api

A library with utilities and data structures to deploy TFLite models on-device. It doesn't have TFLite interpreter dependency unlike "tensorflow-lite-support"

• Homepage: https://tensorflow.org/lite/
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-lite-support-api/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 0.5.0 (published about 1 year ago)
• Last Synced: 2026-03-27T15:34:17.259Z (2 days ago)
• Versions: 9
• Dependent Packages: 8
• Dependent Repositories: 1
• Rankings:
  • Dependent packages count: 7.339%
  • Average: 16.245%
  • Forks count: 17.73%
  • Stargazers count: 19.253%
  • Dependent repos count: 20.657%

anaconda.org: tensorflow-gpu

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: https://www.tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.20.0 (published 4 months ago)
• Last Synced: 2026-03-10T15:15:55.635Z (19 days ago)
• Versions: 23
• Dependent Packages: 0
• Dependent Repositories: 181
• Downloads: 369,524 Total
• Rankings:
  • Stargazers count: 0.0%
  • Forks count: 0.0%
  • Dependent repos count: 14.583%
  • Average: 16.444%
  • Dependent packages count: 51.193%

repo1.maven.org: org.tensorflow:tensorflow-core-platform-mkl-gpu

Parent POM of TensorFlow core artifacts

• Homepage: https://www.tensorflow.org
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-core-platform-mkl-gpu/
• Licenses: Apache-2.0,Apache-2.0
• Latest release: 0.3.3 (published over 4 years ago)
• Last Synced: 2026-03-16T06:06:28.305Z (14 days ago)
• Versions: 5
• Dependent Packages: 0
• Dependent Repositories: 2
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Dependent repos count: 16.116%
  • Average: 16.568%
  • Dependent packages count: 50.151%

repo1.maven.org: org.tensorflow:tensorflow-core-platform-mkl

Parent POM of TensorFlow core artifacts

• Homepage: https://www.tensorflow.org
• Documentation: https://appdoc.app/artifact/org.tensorflow/tensorflow-core-platform-mkl/
• Licenses: Apache-2.0,Apache-2.0
• Latest release: 0.3.3 (published over 4 years ago)
• Last Synced: 2026-02-28T13:16:25.654Z (30 days ago)
• Versions: 5
• Dependent Packages: 0
• Dependent Repositories: 2
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Dependent repos count: 16.116%
  • Average: 16.568%
  • Dependent packages count: 50.151%

conda-forge.org: tensorflow-cpu

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: http://tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.11.0 (published about 3 years ago)
• Last Synced: 2026-03-01T15:17:36.334Z (28 days ago)
• Versions: 9
• Dependent Packages: 0
• Dependent Repositories: 5
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.005%
  • Dependent repos count: 14.811%
  • Average: 16.608%
  • Dependent packages count: 51.614%

pypi.org: tf-gpu

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-gpu.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.11.0 (published about 3 years ago)
• Last Synced: 2026-03-28T20:47:37.302Z (1 day ago)
• Versions: 18
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 127 Last month
• Rankings:
  • Dependent packages count: 10.082%
  • Average: 17.123%
  • Downloads: 19.667%
  • Dependent repos count: 21.62%
• Maintainers (1)
  • ssbuild

repo1.maven.org: org.tensorflow:parentpom

Parent POM for the artifacts for TensorFlow for Java

• Homepage: https://www.tensorflow.org
• Documentation: https://appdoc.app/artifact/org.tensorflow/parentpom/
• Licenses: The Apache Software License, Version 2.0
• Latest release: 1.15.0 (published over 6 years ago)
• Last Synced: 2026-03-22T17:23:40.523Z (7 days ago)
• Versions: 49
• Dependent Packages: 0
• Dependent Repositories: 1
• Docker Downloads: 17
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.006%
  • Average: 17.733%
  • Dependent repos count: 20.775%
  • Dependent packages count: 50.151%

pypi.org: tensorflow-cpu-test-package

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-cpu-test-package.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.11.0rc0 (published over 3 years ago)
• Last Synced: 2026-03-25T15:34:15.782Z (4 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 0
• Downloads: 8 Last month
• Rankings:
  • Dependent packages count: 6.633%
  • Average: 18.622%
  • Dependent repos count: 30.611%
• Maintainers (1)
  • edwin.shang

anaconda.org: tensorflow-gpu-base

TensorFlow provides multiple APIs.The lowest level API, TensorFlow Core provides you with complete programming control. Base GPU package contains only tensorflow, not tensorflow-tensorboard.

• Homepage: http://tensorflow.org/
• Licenses: Apache 2.0
• Latest release: 1.8.0 (published almost 8 years ago)
• Last Synced: 2026-03-01T01:35:02.424Z (29 days ago)
• Versions: 5
• Dependent Packages: 1
• Dependent Repositories: 4
• Rankings:
  • Stargazers count: 0.0%
  • Forks count: 0.0%
  • Average: 18.831%
  • Dependent packages count: 30.655%
  • Dependent repos count: 44.669%

pypi.org: tensorflow-tflex

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-tflex.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 1.13.1rc3 (published about 6 years ago)
• Last Synced: 2026-03-15T19:08:22.558Z (14 days ago)
• Versions: 4
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 125 Last month
• Rankings:
  • Dependent packages count: 9.642%
  • Average: 20.583%
  • Dependent repos count: 21.878%
  • Downloads: 30.227%
• Maintainers (1)
  • jie.hang

conda-forge.org: libtensorflow

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: http://tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.11.0 (published about 3 years ago)
• Last Synced: 2026-03-01T15:20:29.946Z (28 days ago)
• Versions: 15
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Forks count: 0.0%
  • Stargazers count: 0.005%
  • Average: 21.301%
  • Dependent repos count: 34.025%
  • Dependent packages count: 51.175%

anaconda.org: tensorflow-estimator

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: https://www.tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.17.0 (published over 1 year ago)
• Last Synced: 2026-03-01T01:35:48.861Z (29 days ago)
• Versions: 16
• Dependent Packages: 2
• Dependent Repositories: 301
• Rankings:
  • Dependent repos count: 10.541%
  • Dependent packages count: 20.474%
  • Average: 22.319%
  • Forks count: 22.357%
  • Stargazers count: 35.905%

cocoapods.org: LiteRTSwift

TensorFlow Lite for Swift

• Homepage: https://github.com/tensorflow/tensorflow
• Documentation: https://cocoadocs.org/docsets/LiteRTSwift/
• Licenses: Apache
• Latest release: 0.0.1-nightly.20250618 (published 9 months ago)
• Last Synced: 2026-01-06T10:02:02.130Z (3 months ago)
• Versions: 158
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Dependent packages count: 11.797%
  • Average: 26.728%
  • Dependent repos count: 41.659%
• Maintainers (1)
  • tensorflow-cocoapods-authors@google.com

cocoapods.org: LiteRTObjC

TensorFlow Lite for Objective-C

• Homepage: https://github.com/tensorflow/tensorflow
• Documentation: https://cocoadocs.org/docsets/LiteRTObjC/
• Licenses: Apache
• Latest release: 0.0.1-nightly.20250618 (published 9 months ago)
• Last Synced: 2026-01-08T01:41:11.570Z (3 months ago)
• Versions: 176
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Dependent packages count: 11.797%
  • Average: 26.728%
  • Dependent repos count: 41.659%
• Maintainers (1)
  • tensorflow-cocoapods-authors@google.com

pypi.org: tf-nightly-xla-gpu

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-nightly-xla-gpu.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 1.12.0.dev20181002 (published over 7 years ago)
• Last Synced: 2026-03-16T06:51:24.050Z (14 days ago)
• Versions: 5
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 26 Last month
• Rankings:
  • Dependent packages count: 10.02%
  • Dependent repos count: 21.705%
  • Average: 29.644%
  • Downloads: 57.206%
• Maintainers (2)
  • tf-nightly
  • mihaimaruseac

pypi.org: tensorflows

DISCLAIMER: This lib is used to test typosquatting, there isn't any malware this is just an experience.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflows.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 1.1.4 (published 10 months ago)
• Last Synced: 2026-03-19T01:41:33.560Z (11 days ago)
• Versions: 11
• Dependent Packages: 0
• Dependent Repositories: 0
• Downloads: 65 Last month
• Rankings:
  • Dependent packages count: 9.087%
  • Average: 30.145%
  • Dependent repos count: 51.203%
• Maintainers (1)
  • yesyesyes

pypi.org: ai-edge-tensorflow

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://ai-edge-tensorflow.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 0.0.0 (published 11 months ago)
• Last Synced: 2026-03-04T16:18:31.029Z (25 days ago)
• Versions: 10
• Dependent Packages: 0
• Dependent Repositories: 0
• Downloads: 10,776 Last month
• Rankings:
  • Dependent packages count: 9.142%
  • Average: 30.324%
  • Dependent repos count: 51.506%
• Maintainers (1)
  • google-ai-edge

pypi.org: tensorflow-ascend

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-ascend.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 1.15.0 (published over 4 years ago)
• Last Synced: 2026-03-16T16:54:12.918Z (13 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 15 Last month
• Rankings:
  • Dependent packages count: 10.103%
  • Dependent repos count: 21.607%
  • Average: 37.39%
  • Downloads: 80.459%
• Maintainers (1)
  • yuncliu

pypi.org: tf-2-13-py310-cuda12

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-2-13-py310-cuda12.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.13.0 (published over 2 years ago)
• Last Synced: 2026-03-17T05:06:48.676Z (13 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 0
• Downloads: 19 Last month
• Rankings:
  • Dependent packages count: 7.303%
  • Average: 37.871%
  • Dependent repos count: 68.439%
• Maintainers (1)
  • elgalu

pypi.org: tensorflow-fedora28

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-fedora28.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 1.9.0rc0 (published over 7 years ago)
• Last Synced: 2026-03-19T02:42:46.636Z (11 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 7 Last month
• Rankings:
  • Dependent packages count: 10.02%
  • Dependent repos count: 21.705%
  • Average: 37.883%
  • Downloads: 81.923%
• Maintainers (1)
  • sub-mod

pypi.org: tf-nightly-tpu

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tf-nightly-tpu.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.21.0.dev20251208 (published 4 months ago)
• Last Synced: 2026-03-26T19:41:27.762Z (3 days ago)
• Versions: 362
• Dependent Packages: 0
• Dependent Repositories: 0
• Downloads: 773 Last month
• Rankings:
  • Dependent packages count: 7.328%
  • Average: 37.956%
  • Dependent repos count: 68.583%
• Maintainers (3)
  • tf-nightly
  • kanglant
  • mhudgins

pypi.org: tensorflow-tpu

TensorFlow is an open source machine learning framework for everyone.

• Homepage: https://www.tensorflow.org/
• Documentation: https://tensorflow-tpu.readthedocs.io/
• Licenses: Apache 2.0
• Latest release: 2.20.0 (published 8 months ago)
• Last Synced: 2026-03-20T17:48:30.375Z (9 days ago)
• Versions: 16
• Dependent Packages: 0
• Dependent Repositories: 0
• Downloads: 4,267 Last month
• Rankings:
  • Dependent packages count: 7.328%
  • Average: 37.956%
  • Dependent repos count: 68.583%
• Maintainers (3)
  • tf-nightly
  • kanglant
  • mhudgins

anaconda.org: tensorflow-cpu

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: https://www.tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.20.0 (published 3 months ago)
• Last Synced: 2026-03-16T18:28:04.118Z (13 days ago)
• Versions: 4
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Dependent packages count: 47.198%
  • Average: 49.544%
  • Dependent repos count: 51.889%

anaconda.org: libtensorflow

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: https://www.tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.18.1 (published 11 months ago)
• Last Synced: 2026-03-01T01:33:26.685Z (29 days ago)
• Versions: 2
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Dependent packages count: 47.198%
  • Average: 49.544%
  • Dependent repos count: 51.889%

anaconda.org: libtensorflow_cc

TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.

• Homepage: https://www.tensorflow.org/
• Licenses: Apache-2.0
• Latest release: 2.18.1 (published 11 months ago)
• Last Synced: 2026-03-03T12:39:59.759Z (27 days ago)
• Versions: 2
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
  • Dependent packages count: 47.198%
  • Average: 49.544%
  • Dependent repos count: 51.889%

artifacthub.io: cloudnativeapp/tensorflow-notebook

A Helm chart for tensorflow notebook and tensorboard

• Homepage: https://www.tensorflow.org
• Documentation: https://artifacthub.io/packages/helm/cloudnativeapp/tensorflow-notebook
• Licenses: Unknown
• Latest release: 0.1.2 (published about 5 years ago)
• Last Synced: 2026-03-02T08:00:40.386Z (28 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 0
• Downloads: 0 Total
• Rankings:
  • Downloads: 0.0%
  • Dependent repos count: 0.0%
  • Dependent packages count: 0.0%
  • Average: 100%

artifacthub.io: cloudnativeapp/distributed-tensorflow

A Helm chart for running distributed TensorFlow on Kubernetes

• Homepage: https://www.tensorflow.org
• Documentation: https://artifacthub.io/packages/helm/cloudnativeapp/distributed-tensorflow
• Licenses: Unknown
• Latest release: 0.1.1 (published about 5 years ago)
• Last Synced: 2026-03-01T23:43:06.411Z (28 days ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 0
• Downloads: 0 Total
• Rankings:
  • Downloads: 0.0%
  • Dependent repos count: 0.0%
  • Dependent packages count: 0.0%
  • Average: 100%