This library provides algorithms and data types for solving symbolic expressions in pure Python using the technique of logical unification.

django-cors-headers is a Django application for handling the server headers required for Cross-Origin Resource Sharing (CORS).

This package is a plugin for Hatch that uses your preferred version control system (like Git) to determine project versions.

This package provides functionality to make it easy to make scatter density maps, both for interactive and non-interactive use.

django-cors-headers is a Django application for handling the server headers required for Cross-Origin Resource Sharing (CORS).

DNA Features Viewer is a Python library to visualize DNA features, e.g. from GenBank or Gff files, or Biopython SeqRecords.

django-crispy-forms lets you easily build, customize and reuse forms using your favorite CSS framework, without writing template code.

Packaging is a Python module for dealing with Python packages. It offers an interface for working with package versions, names, and dependency information.

importlib_resources is a backport of Python 3's standard library importlib.resources module for Python 2.7, and Python 3.

This sphinx extension redirects non-existent pages to working pages. Rediraffe can also check that deleted/renamed files in your git repo are redirected.

lazr.authentication implements various HTTP authentication schemes as simple pieces of WSGI middleware. Currently implemented are HTTP Basic and section 7 of the OAuth specification.

This package provides a Django library that logs request, response, and exception details in a JSON document. It can also send logs directly to ElasticSearch.

This package provides guzzle_sphinx_theme, a theme for the Sphinx documentation system, used by Guzzle and several other projects.

Python-setuptools-markdown is a deprecated package that is required by python-miditime. Instead of using this, you should use the built-in functionality of setuptools and PyPI.

This plugin for python-plaster adds support for PasteDeploy syntax, it provides a plaster Loader object that can parse ini files according to the standard set by PasteDeploy

This package provides flit-core, a PEP 517 build backend for packages using Flit. The only public interface is the API specified by PEP 517, flit_core.buildapi.

jupyter_kernel_test is a tool for testing Jupyter kernels. It tests kernels for successful code execution and conformance with the Jupyter Messaging Protocol.

Python asyncio code is usually written in the form of coroutines, which makes it slightly more difficult to test using normal testing tools. pytest-asyncio provides useful fixtures and markers to make testing async code easier.

PyTorch Forecasting is a PyTorch-based package for forecasting with state-of-the-art deep learning architectures. It provides a high-level API and uses PyTorch Lightning to scale training on GPU or CPU, with automatic logging.

This package is a set of opinionated helpers for creating py.test fixtures for your smoke testing and integration testing. It strives to keep your environment definition declarative, like a docker-compose.yml. It embraces py.test fixture overloading.

The marshmallow-jsonapi package provides a simple way to produce JSON:API-compliant data in any Python Web framework. It includes optional utilities to integrate with Flask. This is a forked version whose pypi name is marshmallow_jsonapi_minfork.

track_linearization is a Python package for mapping animal movement on complex track environments (mazes, figure-8s, T-mazes) into simplified 1D representations. It uses Hidden Markov Models to handle noisy position data and provides powerful tools for analyzing spatial behavior in neuroscience experiments.

This piece of code sets up some reader macros that make it simpler to input string literals which contain backslashes and double quotes This is very useful for writing complicated docstrings and, as it turns out, writing code that contains string literals that contain code themselves.

lenstronomy is a multi-purpose software package to model strong gravitational lenses. lenstronomy finds application for time-delay cosmography and measuring the expansion rate of the Universe, for quantifying lensing substructure to infer dark matter properties, morphological quantification of galaxies, quasar-host galaxy decomposition and much more.