https://github.com/tadz-io/hydropt
HYDROPT is an open-source framework for forward and inverse modelling of multi- and hyperspectral observations from oceans, coastal and inland waters. Our framework is based on radiative transfer principles and is sensor agnostic .
https://github.com/tadz-io/hydropt
Keywords
hyperspectral inverse-modelling ocean-color python remote-sensing
Last synced: 11 months ago
JSON representation
Acceptance Criteria
- Revelant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
Repository metadata
HYDROPT is an open-source framework for forward and inverse modelling of multi- and hyperspectral observations from oceans, coastal and inland waters. Our framework is based on radiative transfer principles and is sensor agnostic .
- Host: GitHub
- URL: https://github.com/tadz-io/hydropt
- Owner: tadz-io
- License: agpl-3.0
- Created: 2021-05-23T22:53:18.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2022-04-01T21:22:09.000Z (about 3 years ago)
- Last Synced: 2024-01-29T10:14:17.871Z (over 1 year ago)
- Topics: hyperspectral, inverse-modelling, ocean-color, python, remote-sensing
- Language: Python
- Homepage:
- Size: 25.2 MB
- Stars: 16
- Watchers: 2
- Forks: 4
- Open Issues: 2
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata
- Name: Tadzio
- Login: tadz-io
- Email:
- Kind: user
- Description: Optical Remote Sensing Researcher & Data Scientist @ PlanBlue
- Website: https://www.planblue.com/
- Location: Ericeira, Portugal
- Twitter: tadzio_holtrop
- Company: PlanBlue
- Icon url: https://avatars.githubusercontent.com/u/9953118?u=3f6fcd3b0b4f2525746aa9d001c87926d2cb1003&v=4
- Repositories: 2
- Last ynced at: 2023-03-01T20:30:51.473Z
- Profile URL: https://github.com/tadz-io
GitHub Events
Total
- Create event: 5
- Issues event: 6
- Release event: 6
- Watch event: 26
- Issue comment event: 10
- Push event: 54
- Fork event: 5
Last Year
- Issue comment event: 1
- Issues event: 1
- Watch event: 5
Committers metadata
Last synced: over 1 year ago
Total Commits: 157
Total Committers: 4
Avg Commits per committer: 39.25
Development Distribution Score (DDS): 0.541
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
Name | Commits | |
---|---|---|
Tadzio | t****p@i****m | 72 |
Tadzio | t****p@v****l | 70 |
Tadzio | 9****o | 8 |
Tadzio | t****p@u****l | 7 |
Committer domains:
Issue and Pull Request metadata
Last synced: over 1 year ago
Total issues: 4
Total pull requests: 0
Average time to close issues: about 1 hour
Average time to close pull requests: N/A
Total issue authors: 3
Total pull request authors: 0
Average comments per issue: 2.5
Average comments per pull request: 0
Merged pull request: 0
Bot issues: 0
Bot pull requests: 0
Past year issues: 2
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 0
Past year average comments per issue: 0.5
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- mkoenig3 (2)
- punyaravichandran (1)
- tadz-io (1)
Top Pull Request Authors
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 33 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 4
- Total maintainers: 1
pypi.org: hydropt-oc
HYDROPT: a Python Framework for Fast Inverse Modelling of
- Homepage: https://github.com/tadz-io/hydropt
- Documentation: https://hydropt-oc.readthedocs.io/
- Licenses: AGPL-3.0
- Latest release: 0.3.3 (published over 3 years ago)
- Last Synced: 2024-05-31T15:22:16.419Z (11 months ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 33 Last month
-
Rankings:
- Dependent packages count: 9.973%
- Stargazers count: 14.511%
- Forks count: 15.344%
- Average: 18.797%
- Dependent repos count: 21.754%
- Downloads: 32.402%
- Maintainers (1)
Dependencies
- matplotlib ==3.1.1
- numpy ==1.17.2
- pandas ==1.1.0
- scikit_learn ==0.24.2
- xarray ==0.16.1
- matplotlib *
- numpy *
- pandas *
- scikit-learn *
- xarray *
Score: 7.832014180505468