dbpedia/extraction-framework
The software used to extract structured data from Wikipedia
In plain words
Outside PRs: 2 in 10 merged. First reply usually within 2 h.
Outside PRs merged
20%
1 merged, 4 closed, 1 still open
Higher than 3% of 565 other measured repositories
Merged (1)
First human reply
2 h
median of 6 outside PRs, 1 unanswered
Outside PRs opened 30 to 120 days ago, so each has had time to be answered. A figure needs at least 5 pull requests, otherwise it reads "Not enough data". How this is calculated · A number looks wrong?
Your first steps here
If you have never contributed to this project, do these in order.
- 1
Read the README
No contributing guide was found, so the README is where setup is explained.
Open the README - 2
Find something small
No first issue is free right now. Look for a typo, a missing test or an unclear error message, or ask where help is wanted.
Browse open issues - 3
Know where to ask
Questions go to the project's slack, or on the issue itself. Not in private messages.
Open it - 4
Open a small pull request
Link the issue in it. A first reply here usually takes 2 h; until then, silence is normal.
What happens to an outside pull request
Every pull request opened by someone outside the core team, 30 to 120 days ago.
- Opened by outsiders6100%
- Got a human reply583%
- Merged117%
Time to first reply
After 2 days, 67% of outside PRs had a reply from a person. After a week, 83%. Bots do not count.
The last 52 weeks
Outside pull requests opened each week, and how many of them have been merged.
Starter issues
Issues labelled for beginners, with their real state. Available means open, unassigned, no linked pull request, nobody has claimed it in the last 14 days, and it was updated in the last 60 days.
No open issue carries a beginner label.
Issue replies: first human reply in Not enough data (median of 1 issues).
How to start
Stack
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Same main language (Scala), most shared frameworks and topics first, then the faster reply.
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