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
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 5 years ago)
- Default Branch: main
- Last Pushed: 2026-09-22T17:31:09.000Z (6 days ago)
- Last Synced: 2026-09-22T23:45:36.297Z (6 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: 357 MB
- Stars: 4,189
- Watchers: 56
- Forks: 592
- Open Issues: 216
-
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://torchgeo.org/
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/220939474?v=4
- Repositories: 8
- Last Synced at: 2026-09-25T03:36:33.330Z
- Profile URL: https://github.com/torchgeo
GitHub Events
Total
- Create event: 162
- Delete event: 152
- Discussion event: 2
- Fork event: 21
- Gollum event: 1
- Issue comment event: 362
- Issues event: 60
- Member event: 1
- Pull request event: 688
- Pull request review comment event: 505
- Pull request review event: 599
- Push event: 372
- Release event: 2
- Watch event: 174
- Total: 3101
Last Year
- Create event: 149
- Delete event: 139
- Discussion event: 2
- Fork event: 12
- Gollum event: 1
- Issue comment event: 308
- Issues event: 51
- Pull request event: 634
- Pull request review comment event: 388
- Pull request review event: 497
- Push event: 340
- Release event: 2
- Watch event: 114
- Total: 2637
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 | 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
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
- Total packages: 2
-
Total downloads:
- conda: 51,168 total
- pypi: 42,497 last-month
- Total docker downloads: 252
- Total dependent packages: 7 (may contain duplicates)
- Total dependent repositories: 8 (may contain duplicates)
- Total versions: 27
- Total maintainers: 5
- 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://docs.torchgeo.org
- Licenses: MIT
- Latest release: 0.10.0 (published about 2 months ago)
- Last Synced: 2026-09-27T02:10:12.970Z (2 days ago)
- Versions: 21
- Dependent Packages: 6
- Dependent Repositories: 4
- Downloads: 42,497 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 (5)
- 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 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
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- actions/checkout v4.0.0 composite
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- 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
- actions/checkout v7.0.1 composite
- actions/download-artifact v8.0.1 composite
- actions/upload-artifact v7.0.1 composite
- astral-sh/setup-uv v9.0.0 composite
- prettier 3.9.6
- 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
- 209 dependencies
- prettier >=3.3