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Alternatives to code-evidence

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    • A
      license
      A
      quality
      B
      maintenance
      Enables MCP clients to run Python static analysis and receive evidence-backed findings with causation traces, reproducible witnesses, and suggested verified patches.
      3
      1
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables coding agents to retrieve local, token-budgeted, source-traceable context from a workspace, with file:line provenance and selection receipts for chosen spans.
      5
      38 PyPI
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP-compatible AI coding agents to obtain clean failing-test context, ranked suspect lines, runtime value comparisons, bounded code search, and patch verification so they can fix Python test failures with fewer tokens.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Provides structured, sandboxed test and lint feedback for coding agents, returning compact typed verdicts with failure fingerprints instead of raw runner output. It enables impact-selected test execution in isolated containers, distinguishing pre-existing failures from regressions.
      4
      28 PyPI
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to run deterministic checks on text inputs: validating a spec, checking tests against it, and checking an implementation's source, all by parsing Python without executing it. The client supplies the model while the server validates, verifies, and reports structured verdicts, problems, and violations.
      Apache 2.0
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables coding agents to run bounded local profiling, tracing, and benchmarking analyses on explicit artifacts or commands, returning typed evidence with provenance, coverage, and limitations.
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