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Turns Data and AI algorithms into production-ready web applications in no time.
19.4k 2.0k 228 openLast shipped 57d ago
Turns Data and AI algorithms into production-ready web applications in no time.
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 taipy'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.
Showing raw commit titles for the newest commits. Sign in to generate AI summaries.
Upgrade to Material UI 9
Updated Material UI framework to version 9 and fixed multiple component class and attribute references to work with the new version. This upgrade affects selectors, filters, dialogs, and other UI components across the application.
Fixed nested list formatting in docs
Corrected the HTML markup in the on_action callback documentation to properly display nested list items, improving readability of the parameter details for developers.
Improve resource path validation
Updated the resource file validation logic to use a more reliable method for checking if a file is within the expected directory. This replaces a string comparison approach with a dedicated path method that properly handles relative paths.
Fixed decimated data cutoff issue
Fixed a bug where decimated chart data was ending too early by ensuring the maximum index doesn't exceed array bounds and properly handling NaN values. Also added the ability to disable React Strict Mode in development for better compatibility.
Moved the configuration setting in each Dispatcher subprocess as soon as possible in the flow.
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.
