Ecosyste.ms: Summary

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Awesome Remote Sensing Foundation Models: https://github.com/microsoft/torchgeo

computer-vision datasets deep-learning earth-observation geospatial models pytorch remote-sensing satellite-imagery torchvision transforms

Score: 20.797124203094004

Last synced: 2 days ago
JSON representation

Repository metadata:

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

Owner metadata:

Committers metadata

Last synced: 6 days ago

Total Commits: 1,903
Total Committers: 66
Avg Commits per committer: 28.833
Development Distribution Score (DDS): 0.568

Commits in past year: 526
Committers in past year: 34
Avg Commits per committer in past year: 15.471
Development Distribution Score (DDS) in past year: 0.513

Name Email Commits
Adam J. Stewart a****6@g****m 822
dependabot[bot] 4****] 521
Caleb Robinson c****6@g****m 197
Isaac Corley 2****y 105
Nils Lehmann 3****h 76
Ashwin Nair a****5@g****m 66
Maciej Kilian 6****c 10
Robin Cole r****e@g****m 9
Yi-Chia Chang 6****c 6
Ritwik Gupta R****a 5
Data Philosopher o****4@g****m 4
Burak 6****m 4
Yi Wang 3****1 4
George Huber 3****r 3
remtav 3****v 3
Adrian Tofting a****g@i****o 3
Caleb Robinson d****b@m****m 3
Pablo Mandiola p****o@s****z 3
Favyen Bastani 9****2 2
estherrolf e****f@b****u 2
SpontaneousDuck k****4@g****m 2
Gaétan Bahl g****l@g****m 2
Buğra a****a@g****m 2
Blanchon j****n@b****c 2
Hitesh Tolani 7****h 2
Jingtong 1****u 2
Wei Ji 2****4 2
Zhuo Zheng 3****g 2
shreyakannan1205 1****5 2
Dimitris Mantas 7****s 1
and 36 more...

Issue and Pull Request metadata

Last synced: 5 days ago

Total issues: 142
Total pull requests: 631
Average time to close issues: 4 months
Average time to close pull requests: 13 days
Total issue authors: 47
Total pull request authors: 50
Average comments per issue: 4.18
Average comments per pull request: 2.04
Merged pull request: 540
Bot issues: 0
Bot pull requests: 262

Past year issues: 97
Past year pull requests: 553
Past year average time to close issues: 27 days
Past year average time to close pull requests: 7 days
Past year issue authors: 35
Past year pull request authors: 40
Past year average comments per issue: 4.31
Past year average comments per pull request: 1.56
Past year merged pull request: 479
Past year bot issues: 0
Past year bot pull requests: 251

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/microsoft/torchgeo

Top Issue Authors

  • adamjstewart (37)
  • robmarkcole (25)
  • calebrob6 (17)
  • nilsleh (6)
  • adriantre (5)
  • DimitrisMantas (4)
  • TolgaAktas (3)
  • Modexus (2)
  • patriksabol (2)
  • pioneerHitesh (2)
  • roybenhayun (2)
  • RitwikGupta (2)
  • pl-ghost (1)
  • piperwolters (1)
  • mpelchat04 (1)

Top Pull Request Authors

  • dependabot[bot] (262)
  • adamjstewart (176)
  • nilsleh (37)
  • isaaccorley (35)
  • calebrob6 (18)
  • ashnair1 (14)
  • robmarkcole (11)
  • yichiac (10)
  • pioneerHitesh (6)
  • adriantre (5)
  • shreyakannan1205 (5)
  • GeorgeHuber (4)
  • burakekim (4)
  • wangyi111 (3)
  • cookie-kyu (3)

Top Issue Labels

  • datasets (56)
  • documentation (21)
  • trainers (16)
  • datamodules (13)
  • samplers (13)
  • good first issue (11)
  • testing (8)
  • models (6)
  • dependencies (6)
  • backwards-incompatible (4)
  • scripts (3)
  • utilities (2)
  • transforms (1)

Top Pull Request Labels

  • dependencies (278)
  • python (235)
  • testing (206)
  • datasets (150)
  • documentation (89)
  • datamodules (66)
  • scripts (60)
  • trainers (48)
  • github_actions (28)
  • transforms (20)
  • models (20)
  • samplers (15)
  • backwards-incompatible (11)
  • losses (6)
  • utilities (2)

Package metadata

pypi.org: torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

  • Homepage: https://github.com/microsoft/torchgeo
  • Documentation: https://torchgeo.readthedocs.io
  • Licenses: MIT License Copyright (c) Microsoft Corporation. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE
  • Latest release: 0.5.2 (published 2 months ago)
  • Last Synced: 2024-04-29T14:04:34.937Z (4 days ago)
  • Versions: 11
  • Dependent Packages: 3
  • Dependent Repositories: 4
  • Downloads: 6,893 Last month
  • Docker Downloads: 14
  • Rankings:
    • Stargazers count: 1.642%
    • Downloads: 2.405%
    • Docker downloads count: 3.254%
    • Dependent packages count: 3.271%
    • Forks count: 3.608%
    • Average: 3.644%
    • Dependent repos count: 7.685%
  • Maintainers (6)
conda-forge.org: torchgeo

TorchGeo is a PyTorch domain library, similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data. The goal of this library is to make it simple 1. for machine learning experts to work with geospatial data, and 2. for remote sensing experts to explore machine learning solutions.

  • Homepage: https://github.com/microsoft/torchgeo
  • Licenses: MIT
  • Latest release: 0.3.1 (published over 1 year ago)
  • Last Synced: 2024-04-29T14:04:40.138Z (4 days ago)
  • Versions: 6
  • Dependent Packages: 1
  • Dependent Repositories: 4
  • Rankings:
    • Stargazers count: 10.267%
    • Forks count: 13.172%
    • Dependent repos count: 16.017%
    • Average: 17.091%
    • Dependent packages count: 28.909%
spack.io: py-torchgeo

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data.

  • Homepage: https://github.com/microsoft/torchgeo
  • Licenses: []
  • Latest release: 0.2.1 (published about 2 years ago)
  • Last Synced: 2024-04-29T14:04:35.314Z (4 days ago)
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Dependent repos count: 0.0%
    • Stargazers count: 6.906%
    • Forks count: 8.976%
    • Average: 18.289%
    • Dependent packages count: 57.274%
  • Maintainers (2)

Dependencies

.github/workflows/labeler.yml actions
  • actions/labeler v4.3.0 composite
.github/workflows/release.yaml actions
  • actions/cache v3.3.2 composite
  • actions/checkout v4.0.0 composite
  • actions/setup-python v4.7.0 composite
.github/workflows/style.yaml actions
  • actions/cache v3.3.2 composite
  • actions/checkout v4.0.0 composite
  • actions/setup-python v4.7.0 composite
.github/workflows/tests.yaml actions
  • actions/cache v3.3.2 composite
  • actions/checkout v4.0.0 composite
  • actions/setup-python v4.7.0 composite
  • codecov/codecov-action v3.1.4 composite
  • pyvista/setup-headless-display-action v2 composite
.github/workflows/tutorials.yaml actions
  • actions/cache v3.3.2 composite
  • actions/checkout v4.0.0 composite
  • actions/setup-python v4.7.0 composite
docs/requirements.txt pypi
pyproject.toml pypi
  • einops >=0.3
  • fiona >=1.8.19
  • kornia >=0.6.9
  • lightly >=1.4.4
  • lightning >=1.8
  • matplotlib >=3.3.3
  • numpy >=1.19.3
  • pillow >=8
  • pyproj >=3
  • rasterio >=1.2
  • rtree >=1
  • segmentation-models-pytorch >=0.2
  • shapely >=1.7.1
  • timm >=0.4.12
  • torch >=1.12
  • torchmetrics >=0.10
  • torchvision >=0.13
requirements/datasets.txt pypi
  • h5py ==3.9.0
  • laspy ==2.5.1
  • opencv-python ==4.8.0.76
  • pandas ==2.1.1
  • pycocotools ==2.0.7
  • pyvista ==0.42.2
  • radiant-mlhub ==0.4.1
  • rarfile ==4.1
  • scikit-image ==0.21.0
  • scipy ==1.11.2
  • zipfile-deflate64 ==0.2.0
requirements/docs.txt pypi
  • ipywidgets ==8.1.1
  • nbsphinx ==0.9.3
  • sphinx ==5.3.0
requirements/required.txt pypi
  • einops ==0.6.1
  • fiona ==1.9.4.post1
  • kornia ==0.7.0
  • lightly ==1.4.19
  • lightning ==2.0.9
  • matplotlib ==3.8.0
  • numpy ==1.26.0
  • pillow ==10.0.1
  • pyproj ==3.6.1
  • rasterio ==1.3.8
  • rtree ==1.0.1
  • segmentation-models-pytorch ==0.3.3
  • setuptools ==68.2.0
  • shapely ==2.0.1
  • timm ==0.9.2
  • torch ==2.0.1
  • torchmetrics ==1.2.0
  • torchvision ==0.15.2
requirements/style.txt pypi
  • black ==23.9.1
  • flake8 ==6.1.0
  • isort ==5.12.0
  • pydocstyle ==6.3.0
  • pyupgrade ==3.12.0
requirements/tests.txt pypi
  • hydra-core ==1.3.2 test
  • mypy ==1.5.1 test
  • nbmake ==1.4.3 test
  • omegaconf ==2.3.0 test
  • pytest ==7.4.2 test
  • pytest-cov ==4.1.0 test
  • tensorboard ==2.14.0 test