chaoss / chaoss/wg-data-science

[Project]: Not Accepting Community Input

Open
#48 1 comment 0 reactions 0 assignees View on GitHub
project proposal
Dominant language
Jupyter Notebook
Stars
30
Forks
26
Avg merge
14h 38m
Merged PRs (30d)
2

Description

### Project Name (1 - 3 words)

Not Accepting Community Input

### Description

Can we identify projects that aren't accepting input from the community?

An open source project owned and maintained by a single company can sometimes want to control the projects direction and codebase to a large extent such that outside parties issues and pull requests are never closed/merged. Functionally, this means no ability to add features that are important to you.

- Is there a way to recognize repositories that have a minimum number of issues or pull requests that:
- Have not been closed after message added for issue and closed without merge for pull requests.
- The pull requests or issues in step 1 being opened by users who have not approved a pull request or submitted a successful one.
- The number of users who meet both step 1 and step 2 probably needs to be over some threshold of obviousness. Maybe 7 users?

This is often related to Elephant Factor, which refers to too much control by a single company. These negative events in a project’s life that are strongly associated with too much single company control, meaning they are different than what occurs in a project with a diverse community of contributors and maintainers.

### Related Links

_No response_

### How would you like to be involved in this project?

I am interested in this project, but do not plan to work on it myself

### Additional Notes.

_No response_

Contributor guide

Open the contributing guide

Research direction

No files, tests, or entry points are identified. Start by reviewing how this Jupyter Notebook project currently measures project health and clarify the proposed thresholds for issues, pull requests, and contributor history. Done should mean a documented, reproducible method for identifying repositories that meet the agreed criteria.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
analytics
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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