Affiliated Projects

Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.

AiiDA is a workflow manager for computational science with a strong focus on provenance, performance and extensibility. 

Asteroid is a Pytorch-based audio source separation toolkit that enables fast experimentation on common datasets. It comes with a source code that supports a large range of datasets and architectures, and a set of recipes to reproduce some important papers.

Bqplot is a 2-D plotting library for Jupyter. Built upon the Jupyter widgets frameworks, it implements the grammar of graphics constructs. 

CB-Geo MPM is an HPC-enabled Material Point Method solver for large-deformation modeling. It supports isoparametric elements to model complex geometries and creates photo-realistic rendering.

Catalyst is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write yet another train loop.

Colour is an open-source Python package providing a comprehensive number of algorithms and datasets for colour science. It is freely available under the New BSD License terms.

Crystal is a statically-typed programming language that is super performant, yet friendly to humans.

CVXPY is an open source Python-embedded modeling language for convex optimization problems. 

Dash is a Python framework for building analytical web applications. No JavaScript required. Built on top of Plotly.js, React, and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs to your analytical Python code.

The Data Retriever is a package manager for data. It downloads, cleans, and stores publicly available data, so that analysts spend less time cleaning and managing data, and more time analyzing it.​

Devito is a Python package to implement optimized stencil computation (e.g., finite differences, image processing, machine learning) from high-level symbolic problem definitions. 

Effective Quadratures is an open-source library for uncertainty quantification, machine learning, optimisation, numerical integration and dimension reduction – all using orthogonal polynomials. 

optimagic is a Python package for nonlinear optimization. It particularly well suited to solve difficult problems with or without constraints. Additional core functionality includes statistical inference on estimated parameters

Flux is 100% pure-Julia stack and provides lightweight abstractions on top of Julia’s native GPU and AD support. It makes easy things easy while remaining fully hackable and fast.

Gensim is a Python library providing scalable statistical semantics, analysis of plain-text documents for semantic structure, and retrieval of semantically similar documents.

GeomScale is open-source project that lies at the intersection of data science, optimization, geometric and statistical computing. 

Geomstats is an open-source Python package for computations and statistics on manifolds. The package is organized into two main modules: geometry and learning.

Gonum is a set of numeric and scientific libraries written for the Go programming language. Our primary aim was to build functionality similar to that of numpy + scipy and today we are close to achieving this goal.

Gridap provides a rich set of tools for the grid-based approximation of partial differential equations (PDEs) written 100% in the Julia programming language.

HPX is a general-purpose C++ runtime system for parallel and distributed applications of any scale.

ipyvizzu is a data visualization tool that empowers data scientists and analysts to employ animation as a means of storytelling with data using Python.

Magpylib is a Python package for calculating 3D static magnetic fields of permanent magnets, currents and other sources.

Manim is a community-maintained Python library for creating (mathematical) animations. With its simple, yet versatile interface, everyone is able to produce insightful visualizations.

Mesa is an Apache2 licensed agent-based modeling (or ABM) framework in Python.

MFEM is a free, lightweight, scalable C++ library for finite element methods. Its goal is to enable high-performance scalable finite element discretization research and application development on a wide variety of platforms, ranging from laptops to supercomputers.

Neo is a Python package for working with electrophysiology data. It implements a hierarchical data model well adapted to intracellular and extracellular electrophysiology and EEG data.

Numba gives you the power to speed up your applications with high performance functions written directly in Python.

ObsPy is an open-source project dedicated to provide a Python framework
for processing seismological data.

Open source data visualization and data analysis for novice and expert. Interactive workflows with a large toolbox.

poliastro is an open source (MIT) collection of Python functions useful in Astrodynamics and Orbital Mechanics, focusing on interplanetary applications. It provides a simple and intuitive API and handles physical quantities with units.

pomegranate is a Python module for fast and flexible probabilistic modeling inspired by the design of scikit-learn.

Project Optuna develops tools for optimizing deep learning and other tasks that use hyperparameters. Project Optuna is comprised of Optuna and Chainer.

pvlib python provides a set of functions and classes for simulating the performance of photovoltaic energy systems.

pyhf is a pure-Python library for the building and serialization of statistical models used commonly in high energy particle physics.

pyiron is an integrated development environment (IDE) for computational materials science. It enables scientists to upscale their workflows from rapid prototyping to high-performance computing.

pyMOR is a software library for building model order reduction applications with the Python programming language.

PySAL is an open source cross-platform library for geospatial data science with an emphasis on vector data written in Python. It supports the development of high level applications for spatial analysis.

Python-graphblas is a foundation-layer library for sparse linear algebra.

pysat implements the general process of space science data analysis, from beginning to end, in an instrument-independent manner. 

PyTorch-Ignite is a high-level library to help with training neural networks in PyTorch

PyVista is a helper module for the Visualization Toolkit (VTK) that takes a different approach on interfacing with VTK through NumPy and direct array access.

Radis is an open-source library to compute molecular spectra. It is used for in-the-lab emission and absorption spectroscopy diagnostics, and exoplanet research.

scikit-bio is an open-source, BSD-licensed, python package providing data structures, algorithms, and educational resources for bioinformatics.

The signac framework is a complete solution for managing workflows operating on file-based data designed to scale to HPC systems.

Solcore is a complete semiconductor solver able of modelling the optical and electrical properties of a wide range of solar cells, from quantum well devices to multi-junction solar cells.

Spack is a flexible package manager that builds multiple versions of packages for different configurations, platforms, and compilers.  It was created to deploy large-scale scientific simulations on HPC systems, but it can deploy software on Linux and macOS machines, as well.

Statsmodels is a Python package that provides a complement to Scipy for statistical computations including descriptive statistics and estimation of statistical models.

TNL is an efficient C++ library providing many parallel algorithms and data structures for high-performance computing on GPUs, multicore CPUs and distributed clusters.

Ibis provides expressive analytics at any scale. It’s an library designed to help users be more productive when interacting with analytics databases and engines.

Trixi.jl is a numerical simulation framework for conservation laws written in the Julia programming language.

aeon is an open-source scikit-learn compatible toolkit for time series tasks such as forecasting, classification, regression, clustering, anomaly detection and segmentation. It provides a broad library of time series algorithms, including efficient implementations of the latest advances in research.

Yellowbrick is a Python package that visualizes the data science workflow, allowing users to visually steer the feature, algorithm, and hyperparameter selection process by directly extending the Scikit-Learn API.

The CompleX Group Interactions (XGI) library provides data structures and algorithms for modeling and analyzing complex systems with group (higher-order) interactions, i.e. hypergraphs and simplicial complexes.

PyDMD is a Python package designed for Dynamic Mode Decomposition (DMD), a data-driven method used for analyzing and extracting spatiotemporal coherent structures from time-varying datasets. It provides a comprehensive and user-friendly interface for performing DMD analysis, making it a valuable tool for researchers, engineers, and data scientists working in various fields.

STUMPY is a powerful and scalable Python library for modern time series analysis.

Skforecast is a Python library that eases using scikit-learn regressors as single and multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (LightGBM, XGBoost, CatBoost, …)

FESTIM, a leading open-source hydrogen transport simulation tool, relies on FEniCS. Globally adopted, it serves diverse sectors like nuclear design and hydrogen aviation advancements.

Developed by the Ohio Supercomputer Center (OSC) and funded by the National Science Foundation, Open OnDemand is an open-source portal that enables web-based access to HPC services. Clients manage files and jobs, create and share apps, run GUI applications and connect via SSH, all from any device with a web browser.

Visual Python is a GUI-based Python code generator, developed on the Jupyter Lab, Jupyter Notebook and Google Colab as an extension. Visual Python is an open source project started for students who struggle with coding during Python classes for data science.

The toqito package is an open-source library for studying various objects in quantum information, namely, states, channels, and measurements. toqito provides numerical tools to study problems about entanglement theory, nonlocal games, and other aspects of quantum information often associated with computer science.

Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library. Manipulate your data in Python, then visualize it in a Leaflet map via Folium.

The Snakemake workflow management system is a framework for reproducible and scalable data analyses. Workflows are described via a human readable, Python based language.