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: 25.343253951826778
Last synced: about 4 hours ago
JSON representation
Repository metadata:
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
- Host: GitHub
- URL: https://github.com/torchgeo/torchgeo
- Owner: torchgeo
- License: mit
- Created: 2021-05-21T05:58:56.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2026-06-19T20:35:06.000Z (9 days ago)
- Last Synced: 2026-06-19T22:14:29.222Z (8 days ago)
- Topics: computer-vision, datasets, deep-learning, earth-observation, geospatial, models, pytorch, remote-sensing, satellite-imagery, torchvision, transforms
- Language: Python
- Homepage: https://torchgeo.org/
- Size: 330 MB
- Stars: 4,071
- Watchers: 56
- Forks: 557
- Open Issues: 227
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Codeowners: .github/CODEOWNERS
- Security: .github/SECURITY.md
- Support: .github/SUPPORT.md
- Governance: .github/GOVERNANCE.md
- Maintainers: .github/MAINTAINERS.md
- Agents: AGENTS.md
-
Funding:
- Github: torchgeo
Owner metadata:
- Name: TorchGeo
- Login: torchgeo
- Email:
- Kind: organization
- Description: TorchGeo: deep learning with geospatial data
- Website: https://osgeo.org/projects/torchgeo
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/220939474?v=4
- Repositories: 1
- Last Synced at: 2025-08-13T15:50:59.434Z
- Profile URL: https://github.com/torchgeo
GitHub Events
Total
- Create event: 52
- Delete event: 43
- Fork event: 11
- Issue comment event: 196
- Issues event: 38
- Member event: 1
- Pull request event: 271
- Pull request review comment event: 214
- Pull request review event: 252
- Push event: 106
- Release event: 2
- Watch event: 111
- Total: 1297
Last Year
- Create event: 52
- Delete event: 43
- Fork event: 11
- Issue comment event: 196
- Issues event: 38
- Member event: 1
- Pull request event: 271
- Pull request review comment event: 214
- Pull request review event: 252
- Push event: 106
- Release event: 2
- Watch event: 111
- Total: 1297
Committers metadata
Last synced: 5 days ago
Total Commits: 3,193
Total Committers: 129
Avg Commits per committer: 24.752
Development Distribution Score (DDS): 0.616
Commits in past year: 698
Committers in past year: 51
Avg Commits per committer in past year: 13.686
Development Distribution Score (DDS) in past year: 0.573
| Name | Commits | |
|---|---|---|
| Adam J. Stewart | a****6@g****m | 1225 |
| dependabot[bot] | 4****] | 1124 |
| Caleb Robinson | c****6@g****m | 222 |
| Isaac Corley | 2****y | 150 |
| Nils Lehmann | 3****h | 103 |
| Ashwin Nair | a****5@g****m | 87 |
| Robin Cole | r****e@g****m | 26 |
| Yi-Chia Chang | 6****c | 16 |
| Yi Wang | 3****1 | 15 |
| Harald Kristen | h****n@p****t | 12 |
| Burak | 6****m | 10 |
| Maciej Kilian | 6****c | 10 |
| Adrian Tofting | 1****e | 9 |
| Blaž Rolih | 6****r | 6 |
| Daniele Rege Cambrin | d****a@g****m | 6 |
| Sieger Falkena | s****a@h****m | 5 |
| Amri Rasyidi | a****y@g****m | 5 |
| Copilot | 1****t | 5 |
| Qiusheng Wu | g****s@g****m | 5 |
| Ritwik Gupta | R****a | 5 |
| gatienc | g****v@c****e | 4 |
| Data Philosopher | o****4@g****m | 4 |
| George Huber | 3****r | 3 |
| Leo Ji | L****0@o****m | 3 |
| Luca Colomba | 4****l | 3 |
| Pablo Mandiola | p****o@s****z | 3 |
| Zhuo Zheng | 3****g | 3 |
| f-schi | 7****i | 3 |
| remtav | 3****v | 3 |
| Hitesh Tolani | 7****h | 3 |
| and 99 more... | ||
Issue and Pull Request metadata
Last synced: 11 days ago
Total issues: 22
Total pull requests: 114
Average time to close issues: 5 months
Average time to close pull requests: 20 days
Total issue authors: 11
Total pull request authors: 25
Average comments per issue: 2.18
Average comments per pull request: 1.63
Merged pull request: 49
Bot issues: 1
Bot pull requests: 42
Past year issues: 17
Past year pull requests: 113
Past year average time to close issues: 4 days
Past year average time to close pull requests: 5 days
Past year issue authors: 10
Past year pull request authors: 24
Past year average comments per issue: 1.71
Past year average comments per pull request: 1.58
Past year merged pull request: 48
Past year bot issues: 1
Past year bot pull requests: 42
Top Issue Authors
- adamjstewart (9)
- calebrob6 (3)
- robmarkcole (2)
- wrignj08 (1)
- gcaria (1)
- forrestfwilliams (1)
- f-schi (1)
- dependabot[bot] (1)
- blaz-r (1)
- nilsleh (1)
- adriantre (1)
Top Pull Request Authors
- dependabot[bot] (42)
- adamjstewart (26)
- isaaccorley (6)
- adriantre (4)
- Copilot (4)
- hkristen (4)
- calebrob6 (4)
- robmarkcole (4)
- blaz-r (3)
- ashnair1 (2)
- sharmalakshay93 (1)
- forrestfwilliams (1)
- ArsalaanAhmad (1)
- enomis-dev (1)
- Dinghye (1)
Top Issue Labels
- documentation (12)
- datasets (3)
- dependencies (1)
- testing (1)
- models (1)
- python (1)
- datamodules (1)
Top Pull Request Labels
- dependencies (49)
- testing (38)
- python (35)
- documentation (33)
- datasets (21)
- datamodules (10)
- models (10)
- trainers (5)
- backwards-incompatible (4)
- github_actions (4)
- transforms (2)
- python:uv (2)
- samplers (2)
- javascript (1)
Package metadata
- Total packages: 2
-
Total downloads:
- conda: 51,168 total
- pypi: 131,612 last-month
- Total docker downloads: 252
- Total dependent packages: 7 (may contain duplicates)
- Total dependent repositories: 8 (may contain duplicates)
- Total versions: 26
- Total maintainers: 4
- Total advisories: 2
pypi.org: torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
- Homepage: https://github.com/torchgeo/torchgeo
- Documentation: https://torchgeo.readthedocs.io
- Licenses: MIT
- Latest release: 0.9.0 (published 4 months ago)
- Last Synced: 2026-06-24T10:30:21.958Z (4 days ago)
- Versions: 20
- Dependent Packages: 6
- Dependent Repositories: 4
- Downloads: 131,612 Last month
- Docker Downloads: 252
-
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 (4)
- Advisories:
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 almost 4 years ago)
- Last Synced: 2026-03-28T01:14:17.868Z (3 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
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- actions/cache v3.3.2 composite
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- actions/setup-python v4.7.0 composite
- einops >=0.3
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- rtree >=1
- segmentation-models-pytorch >=0.2
- shapely >=1.7.1
- timm >=0.4.12
- torch >=1.12
- torchmetrics >=0.10
- torchvision >=0.13
- 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
- ipywidgets ==8.1.1
- nbsphinx ==0.9.3
- sphinx ==5.3.0
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- 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
- black ==23.9.1
- flake8 ==6.1.0
- isort ==5.12.0
- pydocstyle ==6.3.0
- pyupgrade ==3.12.0
- 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