JOSS: https://github.com/ecrl/ecnet
cetane-number computational-chemistry fuel-property-prediction machine-learning neural-network pytorch qspr
Score: 10.243524855321837
Last synced: about 3 hours ago
JSON representation
Repository metadata:
QSPR-based machine learning for fuel property prediction
- Host: GitHub
- URL: https://github.com/ecrl/ecnet
- Owner: ecrl
- License: mit
- Created: 2017-05-11T17:33:08.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2024-08-29T22:45:06.000Z (almost 2 years ago)
- Last Synced: 2026-03-06T17:43:54.245Z (4 months ago)
- Topics: cetane-number, computational-chemistry, fuel-property-prediction, machine-learning, neural-network, pytorch, qspr
- Language: Python
- Homepage:
- Size: 163 MB
- Stars: 19
- Watchers: 4
- Forks: 7
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Owner metadata:
- Name: UMass Lowell Energy and Combustion Research Laboratory
- Login: ecrl
- Email: hunter_mack@uml.edu
- Kind: organization
- Description: Open source software used to further alternative fuel research
- Website: https://sites.uml.edu/hunter-mack/
- Location: Lowell, MA
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/42325476?v=4
- Repositories: 6
- Last Synced at: 2023-03-02T21:20:35.511Z
- Profile URL: https://github.com/ecrl
GitHub Events
Total
- Watch event: 2
- Total: 2
Last Year
- Watch event: 2
- Total: 2
Committers metadata
Last synced: 8 months ago
Total Commits: 829
Total Committers: 5
Avg Commits per committer: 165.8
Development Distribution Score (DDS): 0.189
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 | |
|---|---|---|
| Travis Kessler | t****r@g****m | 672 |
| Kessler | T****r@s****u | 89 |
| Hernan Romer | n****3@g****m | 66 |
| Kristian Rother | k****r@a****u | 1 |
| Arfon Smith | a****n | 1 |
Issue and Pull Request metadata
Last synced: 10 months ago
Total issues: 7
Total pull requests: 48
Average time to close issues: 8 days
Average time to close pull requests: 2 days
Total issue authors: 2
Total pull request authors: 6
Average comments per issue: 1.86
Average comments per pull request: 0.29
Merged pull request: 39
Bot issues: 0
Bot pull requests: 4
Past year issues: 0
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: 1 minute
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- krother (5)
- hgromer (2)
Top Pull Request Authors
- tjkessler (37)
- dependabot[bot] (6)
- hgromer (5)
- arfon (1)
- krother (1)
- sanskriti-s (1)
Top Issue Labels
- bug (1)
- question (1)
Top Pull Request Labels
- enhancement (10)
- dependencies (8)
- documentation (5)
- bug (4)
- refactor (2)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 278 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 49
- Total maintainers: 2
pypi.org: ecnet
Fuel property prediction using QSPR descriptors
- Homepage: https://github.com/ecrl/ecnet
- Documentation: https://ecnet.readthedocs.io/
- Licenses: MIT License
- Latest release: 4.1.4 (published almost 2 years ago)
- Last Synced: 2025-10-30T04:49:13.274Z (8 months ago)
- Versions: 49
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 278 Last month
-
Rankings:
- Dependent packages count: 10.105%
- Forks count: 13.348%
- Stargazers count: 15.25%
- Average: 16.107%
- Downloads: 20.24%
- Dependent repos count: 21.593%
- Maintainers (2)
Dependencies
- mkdocs-material *
- mkdocstrings *
- actions/checkout v3 composite
- actions/setup-python v3 composite
- pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite
- actions/checkout v3 composite
- actions/setup-python v3 composite
- pavelzw/pytest-action v2 composite
- alvadescpy ==0.1.3
- ecabc ==3.0.1
- padelpy ==0.1.16
- scikit-learn ==1.5.1
- torch ==2.4.0