TrustLens v0.2.0 — Stability & Production Release

[Khanz9664]

🚀 TrustLens v0.2.0 — Codebase Stabilization & Contributor Experience Upgrade

This release focuses on strengthening the foundation of TrustLens—improving stability, clarity, and contributor experience—without introducing breaking changes.

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Highlights

Stabilized Core Pipeline

• Refined the ML evaluation pipeline to focus strictly on production-ready modules:

  • Calibration
  • Failure Analysis
  • Bias Detection
  • Representation Analysis

• Ensured consistent behavior across analyze() and quick_analyze()

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Experimental Module Isolation

• Clearly separated experimental features (Explainability & Faithfulness) from the core pipeline

• Introduced docs/EXPERIMENTAL.md:

  • Defines experimental modules
  • Provides contributor guidelines
  • Establishes promotion criteria for future integration

• Preserved full importability without exposing unstable features in the public API

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Stronger Developer Guardrails

• Added a Pipeline Module Registry in api.py

• Includes a checklist for safely introducing new modules:

  • dependency validation
  • API readiness
  • test coverage
  • maintainer approval

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Improved Documentation & Onboarding

• Updated CONTRIBUTING.md with:

  • dedicated Experimental Features section
  • clearer contribution flow

• Enhanced README:

  • improved positioning (ML-first focus)
  • transparent note on experimental modules

• Cleaned up project structure documentation

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Example & Consistency Fixes

• Renamed and aligned examples to reflect actual ML usage
• Improved clarity for new users exploring the library

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Quality & Verification

• ✔ 118 tests passing
• ✔ 73% code coverage (above threshold)
• ✔ All pre-commit checks passing (lint, format, type-check)
• ✔ No breaking changes

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What This Means

TrustLens is now:

• more reliable for real-world ML evaluation
• easier to contribute to with clear guidelines
• better structured for future feature expansion

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Acknowledgements

Thanks to all contributors helping improve TrustLens and push it forward 🚀

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Installation

pip install trustlens==0.2.0

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What’s Next

Future releases will focus on:

• advanced model comparison
• drift detection
• exportable trust reports

Stay tuned 👀

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This discussion was created from the release TrustLens v0.2.0 — Stability & Production Release.