pyre-check vs mypy
Side-by-side — pricing, strengths, tradeoffs, and fit.
pyre-check
Performant type checking for Python codebases.
mypy
Static type checker for Python that detects type errors in your code.
At a glance
Open SourceFree Tier
◌ Declining·From $0
Open SourceFree Tier
● Established·From $0
Overview
One-liner
One-liner
Performant type checking for Python codebases.
One-liner
Static type checker for Python that detects type errors in your code.
Maturity
Maturity
DecliningMaturity
EstablishedOpen source
Open source
✓ YesOpen source
✓ YesPricing
Free tier
Free tier
✓ AvailableOpen source — free to use
Free tier
✓ AvailableOpen source — free to use
Starts at
Starts at
$0
Starts at
$0
Model
Model
Flat rate
Model
Flat rate
Enterprise
Enterprise
✕ NoneEnterprise
✕ NoneBest for
✓ Best for
Python developers working on large codebases who need fast and accurate type checking.
Teams that require integration with existing build systems and IDEs for seamless workflow.
✓ Best for
Teams working on complex, large-scale Python applications where type safety is critical.
Developers who want to catch potential bugs before runtime by ensuring type consistency.
Not ideal for
✕ Not for
Projects requiring real-time feedback outside of the development environment
Small-scale projects where setup overhead outweighs benefits
✕ Not for
Projects that do not require static typing or prefer dynamic typing for flexibility.
Small projects where the overhead of setting up and maintaining a type checker outweighs the benefits.
Strengths
↑ Strengths
Fast incremental type checking
Integration with IDEs and build systems
Support for large codebases
↑ Strengths
Static type checking for Python code
Integration with popular IDEs and text editors
Support for gradual typing
Extensive documentation and community support
Weaknesses
↓ Weaknesses
Limited third-party integration support
Performance issues with very large codebases
↓ Weaknesses
Steep learning curve for non-Python developers
Frequent breaking changes between versions
Limited support for certain Python features
Performance overhead during large-scale projects