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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.
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.
Python Bindings for the NVIDIA Management Library.
This package provides common CLI patterns on top of Click.
Estimate and track carbon emissions from your computer, quantify and analyze their impact.
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.
Python library to build pretty command line user prompts.
The pyjson-tricks package brings several pieces of functionality to python handling of JSON files:
Store and load numpy arrays in human-readable format.
Store and load class instances both generic and customized.
Store and load date/times as a dictionary (including timezone).
Preserve map order using OrderedDict.
Allow for comments in json files by starting lines with #.
Sets, complex numbers, Decimal, Fraction, enums, compression, duplicate keys, pathlib Paths, bytes, ...
As well as compression and disallowing duplicate keys.
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.
This package provides a pure Python library to create SVG drawings.
The Traits library is designed to enhance object-oriented programming in Python by providing a way to define and manage attributes of objects more effectively.
This package provides a hierarchical data modeling framework for modern science data standards.
Wildcard Match provides an enhanced fnmatch, glob, and pathlib library in order to provide file matching and globbing that more closely follows the features found in Bash.
JAXopt provides hardware accelerated, batchable and differentiable optimizers in JAX.
Hardware accelerated: the implementations run on GPU and TPU, in addition to CPU.
Batchable: multiple instances of the same optimization problem can be automatically vectorized using JAX’s
vmap.Differentiable: optimization problem solutions can be differentiated with respect to their inputs either implicitly or via autodiff of unrolled algorithm iterations.
The h5py package provides both a high- and low-level interface to the HDF5 library from Python. The low-level interface is intended to be a complete wrapping of the HDF5 API, while the high-level component supports access to HDF5 files, datasets and groups using established Python and NumPy concepts.
TensorFlow is a flexible platform for building and training machine learning models. It provides a library for high performance numerical computation and includes high level Python APIs, including both a sequential API for beginners that allows users to build models quickly by plugging together building blocks and a subclassing API with an imperative style for advanced research.
JAX is Autograd and XLA, brought together for high-performance numerical computing, including large-scale machine learning research. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order.
JAX is Autograd and XLA, brought together for high-performance numerical computing, including large-scale machine learning research. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It can differentiate through loops, branches, recursion, and closures, and it can take derivatives of derivatives of derivatives. It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order.
This is a collection of independent Python modules providing utilities for various projects.
ScotchPy is a python module to interface the Scotch/PT-Scotch graph partitioner library.
Optax is a gradient processing and optimization library for JAX.
ScotchPy is a python module to interface the Scotch/PT-Scotch graph partitioner library.
TensorFlow is a flexible platform for building and training machine learning models. It provides a library for high performance numerical computation and includes high level Python APIs, including both a sequential API for beginners that allows users to build models quickly by plugging together building blocks and a subclassing API with an imperative style for advanced research.
This module contains classes for the object model defined by the Static Analysis Results Interchange Format (SARIF) file format.