pyapp-kit
A collection of tools that aim to make creating applications in Python easier and more pythonic
Pinned Repositories
app-model
Generic application schema implemented in python.
cmap
Scientific colormaps for python, with only numpy dependency
fieldz
Unified API for working with multiple dataclass-like libraries
griffe-fieldz
Griffe extension to inject field metadata into mkdocstrings (supports dataclasses, pydantic, attrs, and more)
in-n-out
Type-hint-based Python dependency injection you can taste
magicgui
build GUIs from type annotations
ndv
Simple, fast-loading, n-dimensional array viewer with minimal dependencies.
psygnal
Python observer pattern (callback/event system). Modeled after Qt Signals & Slots (but independent of Qt)
pydantic-compat
Compatibility layer for pydantic v1/v2
superqt
Missing widgets and components for Qt-python
pyapp-kit's Repositories
pyapp-kit/magicgui
build GUIs from type annotations
pyapp-kit/superqt
Missing widgets and components for Qt-python
pyapp-kit/cmap
Scientific colormaps for python, with only numpy dependency
pyapp-kit/psygnal
Python observer pattern (callback/event system). Modeled after Qt Signals & Slots (but independent of Qt)
pyapp-kit/ndv
Simple, fast-loading, n-dimensional array viewer with minimal dependencies.
pyapp-kit/app-model
Generic application schema implemented in python.
pyapp-kit/griffe-fieldz
Griffe extension to inject field metadata into mkdocstrings (supports dataclasses, pydantic, attrs, and more)
pyapp-kit/fieldz
Unified API for working with multiple dataclass-like libraries
pyapp-kit/pydantic-compat
Compatibility layer for pydantic v1/v2
pyapp-kit/in-n-out
Type-hint-based Python dependency injection you can taste
pyapp-kit/pyconify
Python wrapper for the Iconify API
pyapp-kit/PyQt6Ads
pyapp-kit/fonticon-fontawesome6
FontAwesome 6 extension for superqt
pyapp-kit/workflows
Reusable Github workflows for CI, testing and deployment
pyapp-kit/.github
pyapp-kit/fonticon-materialdesignicons6
pyapp-kit/fonticon-materialdesignicons7
pyapp-kit/pydantic_v1
Data validation using Python type hints