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: 25.720231129564546
Last synced: about 14 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 (over 4 years ago)
- Default Branch: main
- Last Pushed: 2025-12-14T17:11:45.000Z (about 2 months ago)
- Last Synced: 2025-12-14T17:12:40.597Z (about 2 months ago)
- Topics: computer-vision, datasets, deep-learning, earth-observation, geospatial, models, pytorch, remote-sensing, satellite-imagery, torchvision, transforms
- Language: Python
- Homepage: https://www.osgeo.org/projects/torchgeo/
- Size: 187 MB
- Stars: 3,787
- Watchers: 57
- Forks: 498
- Open Issues: 186
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: .github/SECURITY.md
- Support: .github/SUPPORT.md
- Governance: .github/GOVERNANCE.md
- Maintainers: .github/MAINTAINERS.md
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: about 2 months ago
Total Commits: 2,740
Total Committers: 109
Avg Commits per committer: 25.138
Development Distribution Score (DDS): 0.614
Commits in past year: 524
Committers in past year: 48
Avg Commits per committer in past year: 10.917
Development Distribution Score (DDS) in past year: 0.531
| Name | Commits | |
|---|---|---|
| Adam J. Stewart | a****6@g****m | 1059 |
| dependabot[bot] | 4****] | 934 |
| Caleb Robinson | c****6@g****m | 216 |
| Isaac Corley | 2****y | 131 |
| Nils Lehmann | 3****h | 101 |
| Ashwin Nair | a****5@g****m | 77 |
| Robin Cole | r****e@g****m | 17 |
| Yi Wang | 3****1 | 15 |
| Yi-Chia Chang | 6****c | 12 |
| Burak | 6****m | 10 |
| Maciej Kilian | 6****c | 10 |
| Blaž Rolih | 6****r | 6 |
| Sieger Falkena | s****a@h****m | 5 |
| Ritwik Gupta | R****a | 5 |
| Qiusheng Wu | g****s@g****m | 5 |
| Amri Rasyidi | a****y@g****m | 5 |
| Harald Kristen | h****n@p****t | 4 |
| Data Philosopher | o****4@g****m | 4 |
| Daniele Rege Cambrin | d****a@g****m | 4 |
| Copilot | 1****t | 4 |
| remtav | 3****v | 3 |
| Zhuo Zheng | 3****g | 3 |
| Pablo Mandiola | p****o@s****z | 3 |
| Luca Colomba | 4****l | 3 |
| George Huber | 3****r | 3 |
| Adrian Tofting | a****g@i****o | 3 |
| Hitesh Tolani | 7****h | 3 |
| shreyakannan1205 | 1****5 | 2 |
| estherrolf | e****f@b****u | 2 |
| Yang Mu | y****u@t****e | 2 |
| and 79 more... | ||
Issue and Pull Request metadata
Last synced: about 2 months ago
Total issues: 21
Total pull requests: 94
Average time to close issues: 5 months
Average time to close pull requests: 23 days
Total issue authors: 11
Total pull request authors: 18
Average comments per issue: 2.19
Average comments per pull request: 1.22
Merged pull request: 43
Bot issues: 1
Bot pull requests: 38
Past year issues: 19
Past year pull requests: 93
Past year average time to close issues: about 2 months
Past year average time to close pull requests: 5 days
Past year issue authors: 10
Past year pull request authors: 17
Past year average comments per issue: 1.84
Past year average comments per pull request: 1.15
Past year merged pull request: 42
Past year bot issues: 1
Past year bot pull requests: 38
Top Issue Authors
- adamjstewart (8)
- 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] (38)
- adamjstewart (21)
- isaaccorley (5)
- adriantre (4)
- Copilot (4)
- calebrob6 (4)
- blaz-r (3)
- hkristen (3)
- robmarkcole (2)
- ashnair1 (2)
- forrestfwilliams (1)
- yichiac (1)
- mayrajeo (1)
- orbin123 (1)
- usakooon (1)
Top Issue Labels
- documentation (11)
- datasets (3)
- testing (1)
- models (1)
- dependencies (1)
- python (1)
- datamodules (1)
Top Pull Request Labels
- dependencies (45)
- python (35)
- testing (25)
- documentation (20)
- datasets (13)
- models (7)
- datamodules (6)
- github_actions (3)
- backwards-incompatible (2)
- trainers (2)
- transforms (2)
- samplers (1)
Package metadata
- Total packages: 2
-
Total downloads:
- pypi: 341,398 last-month
- Total docker downloads: 252
- Total dependent packages: 7 (may contain duplicates)
- Total dependent repositories: 8 (may contain duplicates)
- Total versions: 24
- Total maintainers: 4
- Total advisories: 1
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: 0.8.0 (published 2 months ago)
- Last Synced: 2025-12-15T06:14:03.636Z (about 2 months ago)
- Versions: 18
- Dependent Packages: 6
- Dependent Repositories: 4
- Downloads: 341,398 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 over 3 years ago)
- Last Synced: 2025-11-27T23:13:53.080Z (2 months 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%
Dependencies
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- actions/setup-python v4.7.0 composite
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- actions/checkout v4.0.0 composite
- actions/setup-python v4.7.0 composite
- 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
- actions/cache v3.3.2 composite
- actions/checkout v4.0.0 composite
- actions/setup-python v4.7.0 composite
- einops >=0.3
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- numpy >=1.19.3
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- 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
- 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
- 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