https://github.com/chaoss/wg-data-science
CHAOSS Data Science Working Group: collaborate and improve open source project health using data science-based approaches
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○DOI references
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○Academic publication links
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○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.1%) to scientific vocabulary
Keywords from Contributors
Repository
CHAOSS Data Science Working Group: collaborate and improve open source project health using data science-based approaches
Basic Info
- Host: GitHub
- Owner: chaoss
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 27.8 MB
Statistics
- Stars: 20
- Watchers: 12
- Forks: 13
- Open Issues: 16
- Releases: 1
Metadata Files
README.md
CHAOSS Data Science Working Group
Table of Contents
Introduction
Goal
Build a community of data scientists to collaborate on the CHAOSS Data Science Initiative
Purpose
We will collaborate with data scientists and researchers to shape how we understand open source community health and make it easier for people to use CHAOSS tools, metrics, and metrics models to draw meaningful insights that they can use to improve open source project health using data science-based approaches.
Who should join this working group?
Anyone interested in data science and data analysis can join. You don't need to be an expert or know how to perform advanced techniques, like machine learning or artificial intelligence. We welcome data scientists, data analysts, researchers and others with an interest in data.
Background
This is a working group within the CHAOSS project to support our Data Science Initiative. If you work for a company who is interested in sponsoring some of our work, we have a sponsorship prospectus with more details.
Participate
How to Join Us?
Want to join the working group? Here is a simple step by step guide on how to join:
- Getting started as a new/first time contributor
- Agenda/Meeting-Minutes
- Join us in the #wg-data-science channel within the CHAOSS Slack Workspace.
- Learn on the Participate page on the website
We follow the CHAOSS Code of Conduct
Practitioner Guides
The CHAOSS Data Science Working Group develops a set of Practitioner Guides to help individuals understand how to interpret data about an open source project, enabling them to develop insights that can improve the project's health. They are designed for Open Source Program Offices (OSPOS), project leads, community managers, maintainers, and anyone who wants to understand project health better and take action on what they learn from their metrics.
If you are interested in contributing to the practitioner guides, you can find more details in the practitioner-guides folder here in the repo.
Projects
We are also working on several projects using CHAOSS metrics and tools to help answer people's questions about open source projects and their unique dynamics. You can find details about these projects in the WG's GitHub Issues.
Contributing
See the CONTRIBUTING.md for more info.
Contributors
Chairs
Current Chairs:
Previous Chairs: - Chan Voong
Amazing CHAOSS Project Contributors
Link to the contributors listed on the website.
License
See LICENSE file.
Copyright © CHAOSS, a Linux Foundation Project
Owner
- Name: CHAOSS
- Login: chaoss
- Kind: organization
- Website: https://chaoss.community/
- Twitter: chaossproj
- Repositories: 64
- Profile: https://github.com/chaoss
GitHub Events
Total
- Create event: 8
- Release event: 1
- Issues event: 9
- Watch event: 10
- Delete event: 1
- Member event: 2
- Issue comment event: 41
- Push event: 36
- Pull request review comment event: 14
- Pull request review event: 34
- Pull request event: 88
- Fork event: 8
Last Year
- Create event: 8
- Release event: 1
- Issues event: 9
- Watch event: 10
- Delete event: 1
- Member event: 2
- Issue comment event: 41
- Push event: 36
- Pull request review comment event: 14
- Pull request review event: 34
- Pull request event: 88
- Fork event: 8
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Dawn M. Foster | d****n@d****m | 171 |
| Elizabeth Barron | e****h@n****t | 7 |
| sophia-IV | 6****V | 5 |
| Peculiar C. Umeh | 3****c | 5 |
| Sal Kimmich | s****h@g****m | 5 |
| Adrian Edwards | 1****e | 2 |
| Precious Onyewuchi | 4****0 | 1 |
| Georg Kunz | g****z@e****m | 1 |
| Ejiro_Oghenekomegit config --global user.email ejirooghenekome@gmail.com | e****e@g****m | 1 |
| Chan Voong | 3****c | 1 |
| Cali Dolfi | 4****i | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 23
- Total pull requests: 211
- Average time to close issues: 3 months
- Average time to close pull requests: 1 day
- Total issue authors: 7
- Total pull request authors: 12
- Average comments per issue: 0.78
- Average comments per pull request: 0.2
- Merged pull requests: 178
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 7
- Pull requests: 109
- Average time to close issues: N/A
- Average time to close pull requests: 3 days
- Issue authors: 5
- Pull request authors: 10
- Average comments per issue: 0.71
- Average comments per pull request: 0.25
- Merged pull requests: 84
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- geekygirldawn (17)
- Maryblessing (1)
- sgoggins (1)
- germonprez (1)
- Salkimmich (1)
- EjiroOS (1)
- RichardLitt (1)
Pull Request Authors
- geekygirldawn (156)
- Salkimmich (21)
- ElizabethN (10)
- sophia-IV (8)
- Preshh0 (4)
- gkunz (2)
- cdolfi (2)
- voongc (2)
- peculiaruc (2)
- MoralCode (2)
- E-STAT (1)
- EjiroOS (1)