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

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

Score: 24.76088802377939

Last synced: about 18 hours ago
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Repository metadata:

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


Owner metadata:


GitHub Events

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Committers metadata

Last synced: 2 days ago

Total Commits: 3,415
Total Committers: 137
Avg Commits per committer: 24.927
Development Distribution Score (DDS): 0.625

Commits in past year: 815
Committers in past year: 53
Avg Commits per committer in past year: 15.377
Development Distribution Score (DDS) in past year: 0.585

Name Email Commits
Adam J. Stewart a****6@g****m 1282
dependabot[bot] 4****] 1216
Caleb Robinson c****6@g****m 234
Isaac Corley 2****y 172
Nils Lehmann 3****h 104
Ashwin Nair a****5@g****m 88
Robin Cole r****e@g****m 31
Yi-Chia Chang 6****c 19
Adrian Tofting 1****e 16
Yi Wang 3****1 15
Harald Kristen h****n@p****t 12
Maciej Kilian 6****c 10
Burak 6****m 10
Daniele Rege Cambrin d****a@g****m 6
Blaž Rolih 6****r 6
gatienc g****v@c****e 6
Amri Rasyidi a****y@g****m 5
Copilot 1****t 5
NB 1****n 5
Qiusheng Wu g****s@g****m 5
Ritwik Gupta R****a 5
Sieger Falkena s****a@h****m 5
Piper Wolters 4****s 4
Data Philosopher o****4@g****m 4
Hitesh Tolani 7****h 3
remtav 3****v 3
f-schi 7****i 3
Zhuo Zheng 3****g 3
Pablo Mandiola p****o@s****z 3
Luca Colomba 4****l 3
and 107 more...

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 80
Total pull requests: 449
Average time to close issues: 4 months
Average time to close pull requests: 20 days
Total issue authors: 23
Total pull request authors: 75
Average comments per issue: 2.85
Average comments per pull request: 2.46
Merged pull request: 237
Bot issues: 1
Bot pull requests: 128

Past year issues: 64
Past year pull requests: 391
Past year average time to close issues: 2 months
Past year average time to close pull requests: 14 days
Past year issue authors: 18
Past year pull request authors: 70
Past year average comments per issue: 2.8
Past year average comments per pull request: 2.54
Past year merged pull request: 214
Past year bot issues: 0
Past year bot pull requests: 110

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

Top Issue Authors

  • calebrob6 (23)
  • adamjstewart (18)
  • robmarkcole (17)
  • adriantre (2)
  • nilsleh (2)
  • yichiac (1)
  • simonreise (1)
  • AlanMorningLight (1)
  • blaz-r (1)
  • dependabot[bot] (1)
  • gatienc (1)
  • EmilienAlvarez (1)
  • f-schi (1)
  • GuiBarradas (1)
  • lnicola (1)

Top Pull Request Authors

  • dependabot[bot] (128)
  • adamjstewart (96)
  • isaaccorley (30)
  • calebrob6 (23)
  • adriantre (15)
  • Marchematics (12)
  • robmarkcole (11)
  • yichiac (9)
  • hkristen (8)
  • quinnarnold (8)
  • borchertn (8)
  • Copilot (6)
  • nuglifeleoji (5)
  • evgeniialappo (5)
  • gatienc (4)

Top Issue Labels

  • datasets (33)
  • documentation (17)
  • models (9)
  • tasks (5)
  • datamodules (5)
  • good first issue (3)
  • backwards-incompatible (2)
  • transforms (2)
  • testing (1)
  • python (1)
  • profilers (1)
  • dependencies (1)
  • scripts (1)

Top Pull Request Labels

  • testing (217)
  • dependencies (155)
  • datasets (149)
  • documentation (119)
  • python:uv (73)
  • models (48)
  • datamodules (41)
  • python (35)
  • tasks (20)
  • backwards-incompatible (19)
  • github_actions (15)
  • trainers (8)
  • security (7)
  • samplers (7)
  • javascript (5)
  • transforms (5)
  • scripts (3)
  • losses (3)
  • profilers (2)

Package metadata

pypi.org: torchgeo

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

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/torchgeo/torchgeo
  • Licenses: MIT
  • Latest release: 0.3.1 (published about 4 years ago)
  • Last Synced: 2026-03-28T01:14:17.868Z (6 months ago)
  • Versions: 6
  • Dependent Packages: 1
  • Dependent Repositories: 4
  • Downloads: 51,168 Total
  • Rankings:
    • Stargazers count: 10.267%
    • Forks count: 13.172%
    • Dependent repos count: 16.017%
    • Average: 17.091%
    • Dependent packages count: 28.909%

Dependencies

.github/workflows/labeler.yml actions
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.github/workflows/release.yaml actions
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.github/workflows/style.yaml actions
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.github/workflows/tests.yaml actions
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.github/workflows/tutorials.yaml actions
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.github/workflows/deploy.yaml actions
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  • actions/upload-artifact v7.0.1 composite
  • astral-sh/setup-uv v9.0.0 composite
package-lock.json npm
  • prettier 3.9.6
pyproject.toml pypi
  • einops >=0.3
  • geopandas >=1.0
  • jsonargparse [jsonnet,signatures]>=4.39
  • kornia >=0.8.2
  • lightly >=1.5.1
  • lightning >=2.4,!=2.5.0,!=2.5.5,!=2.5.6
  • matplotlib >=3.7.3
  • numpy >=1.26
  • pandas >=2.1.1
  • pillow >=10
  • pyogrio >=0.10
  • pyproj >=3.6.1
  • rasterio >=1.4.3
  • requests >=2.25
  • segmentation-models-pytorch >=0.5
  • shapely >=2.0.2
  • timm >=1.0.3
  • torch >=2.2
  • torchmetrics [detection]>=1.5
  • torchvision >=0.17
  • tqdm >=4.57
  • typing-extensions >=4.8
uv.lock pypi
  • 209 dependencies
package.json npm
  • prettier >=3.3