silx project is to provide a collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities. silx aims to provide reading/writing tools for different file formats, data reduction routines and a set of Qt widgets to browse and visualise data.

ROOT is a data analysis framework developed by CERN for tasks such as data storage, processing, and visualization. It provides tools for histograms, statistical tests, fitting, simulations, and machine learning. It can handle large datasets and uses a specialized file format.

The Scikit-HEP project (HEP stands for High Energy Physics, see more in the FAQ) is a community-driven and community-oriented project with the aim of providing Particle Physics at large with an ecosystem for data analysis in Python.

This package provides font data for mplhep.

This package provides a set of helpers for matplotlib to more easily produce plots typically needed in HEP as well as style them in way that's compatible with current collaboration requirements (ROOT-like plots for CMS, ATLAS, LHCb, ALICE).

The HepMC package is an object oriented C++ event record for High Energy Physics Monte Carlo generators and simulation.

This software library implements formulas to calculate, given an experimental setup, the expected x-ray fluorescence intensities. The library accounts for secondary and tertiary excitation, K, L and M shell emission lines and de-excitation cascade effects. The basic implementation is written in C++ and a Python binding is provided.

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

Discrete Fourier Transform with xarray.

This package provides a hierarchical data modeling framework for modern science data standards.

This package provides a Zarr I/O backend for the HDMF.

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

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.

Mayavi is a general purpose, cross-platform tool for 2-D and 3-D scientific data visualization.

Paste provides a variety of web development tools and middleware which can be nested together to build web applications. Paste's design closely follows ideas flowing from WSGI (Web Standard Gateway Interface).

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.

Bracex is a brace expanding library (à la Bash) for Python. Brace expanding is used to generate arbitrary strings.

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.

Pyface contains toolkit-independent GUI abstraction layers, used to support the TraitsUI package. Thus, you can write code in the abstraction of the Pyface API and the selected toolkit and backend take care of the details of displaying them.

This package provides classes and functions for performing customizable robust ICA.

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

The TraitsUI project provides a toolkit-independent GUI abstraction layer, which is used to support the “visualization” features of the Traits package. You can write a model using the Traits API and specify a GUI using the TraitsUI API (views, items, editors, etc.), and let TraitsUI and your selected toolkit back-end (Qt or Wx) take care of the details of displaying them.

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.

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.