Pytype vs mypy
Side-by-side — pricing, strengths, tradeoffs, and fit.
Pytype
Type checker for Python code without requiring type annotations.
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
Type checker for Python code without requiring type annotations.
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-scale applications with complex dependencies
Projects where manual type annotation is not feasible or practical
Teams that prioritize code quality and maintainability over rapid development cycles
✓ 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
Small projects where the overhead of a static analysis tool outweighs its benefits
Developers who prefer dynamic typing and do not want to introduce any form of type checking into their workflow
✕ 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
Automatically infers types without requiring annotations
Enhances code quality and maintainability
Identifies potential runtime errors during development
↑ 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 support for complex type inference in certain Python constructs
Performance overhead during large-scale codebase analysis
Inconsistent type inference with third-party libraries
Lack of comprehensive documentation and community support
↓ 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