Type Safety Python Packages

result

NOT MAINTAINED - A simple Rust like Result type for Python 3. Fully type annotated.

returns

Make your functions return something meaningful, typed, and safe!

undictify

Python library providing type-checked function calls at runtime

dynamoquery

Python AWS DynamoDB ORM

koda

Type-safe functional tools for Python.

safe-assert

Safe and composable assert for Python that can be used together with optimised mode

affinity-sdk

Unofficial strongly-typed Python SDK for the Affinity CRM API - full read/write coverage, Pydantic v2, MCP server included. For when you need more than Affinity's official MCP

toolz-stubs

Type stubs for toolz and tlz.

pedantic

Some useful decorators for any situation. Includes runtime type checking.

mocksafe

Type-safe mocking for Python.

safe-result

A Python package for elegant error handling, inspired by Rust's Result type.

flecsi-sandbox

Flexible Computational Science (FleCSI) Project

typical

Typical: Python's Typing Toolkit.

phx-filters

Opinionated schema validation for Python - chain type-safe filters with | like UNIX pipes

static-typing

add static type information to Python abstract syntax trees

base-typed-id

Typed UUID identifier base class with exact runtime subtype preservation, plain-string interoperability, and optional Pydantic v2 support.Strict typed UUID identifiers with exact runtime subtype preservation, plain string interoperability, and optional Pydantic v2 support.

orchard-ml

Modular PyTorch framework: Pydantic schemas + Optuna optimization + resolution-aware architectures for vision research

raffiot

Robust And Fast Functional IO Toolkit

pyropust

Rust Result/Option types exposed to Python with @do generator short-circuiting

base-typed-string

Strict typed string base class with exact runtime subtype preservation and optional Pydantic v2 support.

pyright-analysis

Visualise Python project type completeness

pytest-annotate

Generate PyAnnotate annotations from your pytest tests.

base-typed-int

Strict typed integer base class with exact runtime subtype preservation and optional Pydantic v2 support.

tomlev

Type-safe TOML configuration management with environment variable substitution, automatic validation, and optional async I/O support for modern Python applications.