C

Agent infrastructure

crewaiinc/crewai

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

PythonrisingLive GitHub sample
View JSON View on GitHub

Current momentum

76capped sample

Stars

59.8K

+145 since sync

Commits

34

in period

Active contributors

12

+0%

Issues closed

8

1488.7h 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

34 commits · 36 opened PRs · 8 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 breadth22.0 / 25 pts

12 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 resolution2.0 / 20 pts

1488.7 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 cadence12.0 / 15 pts

5 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 once76 / 100

What changed in the recorded sample?

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8.8K forks

Downstream adoption

755 open issues

Community demand

5 day cadence

Shipping consistency