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anthropics/claude-quickstarts

A collection of projects designed to help developers quickly get started with building deployable applications using the Claude API

PythonrisingLive GitHub sample
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Current momentum

75+50% activity

Stars

19.6K

+0 since sync

Commits

2

in period

Active contributors

1

+-67%

Issues closed

1

0h 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 activity34.0 / 40 pts

2 commits · 6 opened PRs · 1 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 breadth7.8 / 25 pts

1 sampled contributors in 7 days · -67% 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 resolution20.0 / 20 pts

0 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 cadence13.5 / 15 pts

3 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 once75 / 100

What changed in the recorded sample?

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3.3K forks

Downstream adoption

234 open issues

Community demand

3 day cadence

Shipping consistency