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docling-project/docling

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PythonsurgingLive GitHub sample
View JSON View on GitHub

Current momentum

89capped sample

Stars

69.1K

+191 since sync

Commits

56

in period

Active contributors

37

+0%

Issues closed

4

70.5h avg. resolution

Recorded trajectory

Movement you can verify over time.

Loading daily momentum history.

Behind the number

A score you can inspect.

Each signal contributes points to the total. These are capped GitHub samples, not complete activity counts or proof of adoption.

Development activity40.0 / 40 pts

56 commits · 48 opened PRs · 4 closed issues in 7 days

24 + 22 × ln(1 + weekly weighted activity). Activity = commits + 2 × opened PRs + closed issues. Signal bounded to 0–100, then weighted 40%.

Contributor breadth25.0 / 25 pts

37 sampled contributors in 7 days · 0% contributor-growth input

24 + 25 × ln(1 + contributors × √(7 / days)) + 0.15 × growth. Growth uses the 30-day windows; capped samples use a neutral 0 input. Signal bounded to 0–100, then weighted 25%.

Issue resolution9.9 / 20 pts

70.5 hours resolution input

105 − 9 × log₂(1 + hours). Uses sampled closed issues, not first-response time. With no resolved issues, the model uses 168 hours. Signal bounded to 0–100, then weighted 20%.

Release cadence14.3 / 15 pts

2 days cadence input

105 − 5 × cadence days. With fewer than two published releases, the model uses time since the last push as a proxy. Signal bounded to 0–100, then weighted 15%.

Weighted total · rounded once89 / 100

What changed in the recorded sample?

Loading recorded observations…

5.1K forks

Downstream adoption

897 open issues

Community demand

2 day cadence

Shipping consistency