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mypy_baseline

Integrate mypy with existing codebase.

Worth itPyPI Quality AssuranceReleased Apr 2026693.6K downloads / mopermissive licensePure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — mypy_baseline-0.7.4-py3-none-any.whl
v0.7.4 · released 2026-04-13 · Python >=3.9

Yes. If you want to adopt mypy on an existing project without the friction of fixing all pre-existing errors first, this is the right tool. It has no dependencies, low friction, active maintenance, permissive licensing, and solves a real adoption problem. Install it if incremental type-checking adoption is your goal.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.9 or later and mypy installed separately.
  • Low install friction; pure Python with no runtime dependencies.
  • Active maintenance with recent commits and stable production status.

License · maintenance · safety

permissive license (permissive) — MIT license (permissive); you can use, modify, and distribute freely with minimal restrictions.

last release 2026-04-13 (123 days) · last repo commit 2026-04-13 · 82 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 693,611 downloads/mo, #5,315 on PyPI

Verify before relying

pip install mypy-baseline

# Generate baseline from current mypy output
mypy | mypy-baseline sync

# On subsequent runs, filter to show only new errors
mypy | mypy-baseline filter
  • Whether the tool works with all mypy versions or has specific version constraints.
  • How baseline merge conflicts are actually avoided in practice across team workflows.
  • Performance characteristics when applied to very large codebases.
Same gist for agents: .md · .json

What it is and what it does

mypy-baseline is a CLI wrapper around mypy that lets you adopt type checking incrementally on an existing project without being overwhelmed by pre-existing violations. On first run, it records all current mypy errors into a human-readable baseline file; on subsequent runs, it filters mypy's output to show only new errors you've introduced, ignoring everything already in the baseline. This lets teams gradually improve type coverage without having to fix all historical violations at once.

The tool works by parsing mypy's stdout—no patching or monkey-patching involved—and can track which specific errors were resolved versus newly introduced, even within the same file. It supports filtering by error category and regex patterns to suppress false positives from buggy plugins, and generates progress stats to show your team's improvement over time.

Use it for

  • Adopting mypy on a large legacy codebase without requiring all existing type errors to be fixed first.
  • Enforcing that new code passes type checking while allowing old code to remain untyped.
  • Tracking team progress on type annotation coverage with visual stats and git history.
  • Suppressing false positives from third-party mypy plugins that don't affect your actual code.
  • Reviewing PRs to see exactly which type errors were introduced versus resolved in that change.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

If you want to adopt mypy on an existing project without the friction of fixing all pre-existing errors first, this is the right tool. It has no dependencies, low friction, active maintenance, permissive licensing, and solves a real adoption problem. Install it if incremental type-checking adoption is your goal.

Install

mypy-baseline on PyPI

Before you install

Low install friction; pure Python with no runtime dependencies. Active maintenance with recent commits and stable production status.

Requires Python 3.9 or later and mypy installed separately.

License in practice

MIT license (permissive); you can use, modify, and distribute freely with minimal restrictions.

Quickstart

pip install mypy-baseline

# Generate baseline from current mypy output
mypy | mypy-baseline sync

# On subsequent runs, filter to show only new errors
mypy | mypy-baseline filter

Verify before relying

  • Whether the tool works with all mypy versions or has specific version constraints.
  • How baseline merge conflicts are actually avoided in practice across team workflows.
  • Performance characteristics when applied to very large codebases.

Package facts

Licensepermissive license permissive
Python supportSupports the current Python release >=3.9
Install frictionLow. Pure-Python wheel
Runtime dependenciesNone
MaintenanceActively maintained 123 days since the last release
Last repo commit
First released
Downloads693,611 / month, #5,315 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonTyping :: Typed

Evidence: mypy_baseline-0.7.4-py3-none-any.whl

Tags

Capabilities
mypy baseline integrationtype error filteringincremental mypy adoptionmypy progress trackingignore existing type errors
Topics
type-checkingmypyincremental-adoption
PyPI keywords
mypybaselinetypingannotationstype annotations

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See also igittigitt · pybaselines · pytest-pylint · ydiff · uncalled · detect-secrets · nb-clean · bc-detect-secrets · refurb · mypy-strict-kwargs