The Python SDK processed three release-related pull requests this week, all routed through the release-please automation system. These were primarily internal release and versioning management changes rather than user-facing features or fixes.
Get this in your inbox every Monday →A deterministic 0–100 hygiene score — README, license, CI, tests, docs, and freshness.
Who ships this repo — author concentration and the bus factor across the last 300 mainline commits.
How welcoming this repo is to contributors — issue throughput, close time, responsiveness, and good-first-issue count.
What this project is built on — dependency count by ecosystem, the license mix, and anything worth a legal look before you adopt it.
Whether this project's CI can be trusted — pass rate, run times, flaky runs, and which workflow is the weak link.
Grounded in anthropic-sdk-python's README, structure, and recent commits — answers won't invent code they haven't seen.
A Monday email with what shipped, in plain English — no account needed.
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Merge pull request #1958 from anthropics/release-please--branches--main--changes--next
Merge pull request #1946 from anthropics/release-please--branches--main--changes--next
Merge pull request #1939 from anthropics/release-please--branches--main--changes--next
Merge pull request #1937 from anthropics/release-please--branches--main--changes--next
Merge pull request #1924 from anthropics/release-please--branches--main--changes--next
Merge pull request #1905 from anthropics/release-please--branches--main--changes--next
A floor, not a guess: counts only commits whose author, co-author trailer, or message explicitly credits an AI tool (Claude, Copilot, Cursor, aider, Codex…). Based on 30 mainline commits. Unattributed AI code isn't counted here — the full audit estimates that separately.