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.

pythonocc provides 3D modeling and dataexchange features. It is intended for CAD/PDM/PLM/BIM development. It is based on the OpenCascade Technology modeling kernel.

pythonocc provides the following features:

• Full access from Python to almost all of the thousand OpenCascade C++ classes. Classes and methods/functions share the same names, and, as possible as it can be, the same signature;

• 3D visualization from the most famous Python Gui (tkinter, pyQt5 and 6, PySide2 and 6, wxPython);

• 3D visualization in a web browser using threejs or x3dom frameworks;

• 3D visualization and work within a jupyter notebook;

• Data exchange using most famous formats IGES/STEP/STL/PLY/OBJ/GLTF;

• Utility Python classes/methods for Topology operations, inertia computations, and more.

Gyselalib++ is a collection of C++ components for writing gyrokinetic semi-lagrangian codes and similar as well as a collection of such codes.

XRootD aims to give high performance, scalable, fault tolerant access to data repositories of many kinds, including file-based ones. It is based on a scalable architecture, a communication protocol, and a set of plugins and tools.

Smilei is a user-friendly electromagnetic particle-in-cell code for the kinetic simulation of plasmas. Co-developed by physicists and computer scientists, it is designed for high-performance on the most recent supercomputing architectures. Smilei is applied to a wide range of applications, from laser-plasma interaction, to accelerator physics, space physics and astrophysics.

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.

Dask backend for Deisa.

Fief is an open-source platform to manage users and authentication in your applications.

Key features:

• Pre-built login and registration pages

• Users management dashboard

• SDK for the most popular languages and frameworks

• Integrations for the most popular no-code tools

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

This package provides tools for automated download of UMLS data.

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.

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

This package provides functions for 3D coordinate transformations.

Python Bindings for the NVIDIA Management Library.

Confit is a complete and easy-to-use configuration framework aimed at improving the reproducibility of experiments by relying on the Python typing system, minimal configuration files and command line interfaces.

Envisage is a Python-based framework for building extensible applications, that is, applications whose functionality can be extended by adding 'plug-ins. Envisage provides a standard mechanism for features to be added to an application, whether by the original developer or by someone else. In fact, when you build an application using Envisage, the entire application consists primarily of plug-ins. In this respect, it is similar to the Eclipse and Netbeans frameworks for Java applications.

Compute a single hash of the file contents of a directory.

Quantities is designed to handle arithmetic and conversions of physical quantities, which have a magnitude, dimensionality specified by various units, and possibly an uncertainty.

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.

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

Tools and utilities shared by Deisa backends.

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

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.

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