This package provides a flexible utility for flattening and unflattening dict-like objects in Python.

Table logger using Rich, aimed at PyTorch Lightning logging.

Features

• display your training logs with pretty rich tables

• describe your fields with goal, format and name

• a field descriptor can be matched with any regex

• a field name can be computed as a regex substitution

• works in Jupyter notebooks as well as in a command line

• integrates easily with Pytorch Lightning

h5io is a package designed to facilitate saving some standard Python objects into the forward-compatible HDF5 format. It is a higher-level package than h5py.

The apptools project provides a set of packages that Enthought has found useful in creating a number of applications. It includes features such as a filesystem abstraction, convenience functions for creating loggers, or an application preference manager.

Easily pick a place to store data for your Python code.

Click is a package for creating powerful and beautiful command line interfaces (CLI) in Python, but it has no the functionality for creating option groups. The aim of this package is to provide group options with extensible functionality using canonical and clean API (Click-like API as far as possible).

A Python module to read Matlab files. This module works with both the old (< 7.3) and the new (>= 7.3) HDF5 based format. The output should be the same for both kinds of files.

Hydra is an open-source Python framework that simplifies the development of research and other complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line.

Key features:

• Hierarchical configuration composable from multiple sources

• Configuration can be specified or overridden from the command line

• Dynamic command line tab completion

• Run your application locally or launch it to run remotely

• Run multiple jobs with different arguments with a single command

The Enable project provides two related multi-platform packages for drawing GUI objects.

• Enable: an object drawing library that supports containment and event notification.

• Kiva: a multi-platform DisplayPDF vector drawing engine.

This package introduces a function decorator preventing a function from being called more often than that allowed by the API provider. This should prevent API providers from banning your applications by conforming to their rate limits.

This package provides a small utility for simplifying and cleaning up argument parsing scripts.

This package provides utilities for downloading several URL as one, as well as supporting multi-part URLs.

distinctipy is a lightweight python package providing functions to generate colours that are visually distinct from one another.

Python library to build pretty command line user prompts.

Python Bindings for the NVIDIA Management Library.

This package provides functions for 3D coordinate transformations.

Dask backend for Deisa.

Chaco is a Python package for building interactive and custom 2-D plots and visualizations. Chaco facilitates writing plotting applications at all levels of complexity, from simple scripts with hard-coded data to large plotting programs with complex data interrelationships and a multitude of interactive tools. While Chaco generates attractive static plots for publication and presentation, Chaco differs from tools like Matplotlib in that it also works well for dynamic interactive data visualization and exploration.

This package provides a pure Python library to create SVG drawings.

Estimate and track carbon emissions from your computer, quantify and analyze their impact.

Python meta-package for deisa-dask and deisa-ray.

This package provides a Python module for finding installed BLAS library in a system, along with its headers. It is intended to be used for easily linking Cython-wrapped C/C++ code that calls BLAS functions to the corresponding system's library.

xsData is a complete data binding library for python allowing developers to access and use XML and JSON documents as simple objects rather than using DOM. The included XML and JSON parser/serializer are highly optimized and adaptable, with multiple handlers and configuration properties. xsData is constantly tested against the W3C XML Schema 1.1 test suite.

Donfig is a python library meant to make configuration easier for other python packages. Donfig can be configured programmatically, by environment variables, or from YAML files in standard locations.