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v1.0.2 — one-command demo & GitHub onboarding

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@Jackxiaozhiren Jackxiaozhiren released this 29 Aug 04:18
· 18 commits to main since this release
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DataSentry v1.0.2

This release makes DataSentry much easier to understand, try, and integrate into a real data-quality workflow.

Highlights

  • New datasentry demo zero-configuration product tour
  • Generate dirty data → detect issues → inspect evidence → safely repair → verify
  • Runs fully locally — no dataset, API key, cloud service, or LLM required
  • Keeps datasentry-demo as a direct console alias
  • Reworked onboarding around Find → Explain → Fix safely → Verify
  • Scenario-first examples for common workflows
  • Copy-paste GitHub Actions data-quality gate
  • Stronger MCP onboarding for AI-agent workflows
  • Improved package metadata and GitHub project discovery
  • Backward-compatible demo artifact behavior

Try it

pip install --upgrade datasentry-ai
datasentry demo

DataSentry keeps deterministic detection as the authority. Repairs are previewed, applied to a copy, verified by re-scanning, and remain reversible.

Why DataSentry

Most data-quality tools work well once you already know which expectations or rules to write.

DataSentry focuses on the step before that too:

Find → Explain → Fix safely → Verify

Discover problems automatically, see the evidence behind them, repair without overwriting the source, and verify that the repair did not introduce regressions.