Affiliated Projects | AiiDA, bqplot, Conda, + more - NumFOCUS

NumFOCUS Affiliated Projects benefit from their association with NumFOCUS through access to community, certain funding opportunities, and promotion of the project through our network. NumFOCUS Affiliated Projects are scientifically oriented, open, and kind. (What does that mean?) Affiliated Projects are not fiscally sponsored by NumFOCUS.
Affiliated Projects enjoy a number of benefits. If your project is interested in becoming a NumFOCUS Affiliated Project, click here to learn more.
NumFOCUS is currently in the process of updating its financial and administrative systems. New project applications will not be considered until this work is complete. This page will be updated when a timeline for reopening applications is available.
In an effort to include more community input and involvement in our work, NumFOCUS has formed a committee around the selection process for our Affiliated Projects. This committee will be responsible for evaluating applications from open source projects for Affiliated Project status with NumFOCUS and working with applicant projects throughout the review process.
Aesara is a Python library that allows one to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
The project includes an extensible graph framework suitable for rapid development of custom operators and symbolic optimizations. Additionally, it implements an extensible graph transpilation framework that currently provides compilation via C, JAX, and Numba.
AiiDA is a workflow manager for computational science with a strong focus on provenance, performance and extensibility.
When executing a workflow, AiiDA records the provenance − calculations performed, codes used and data generated − in a directed acyclic graph tailored to provide full reproducibility of any given result.
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.
Awkward Array is a Python library for nested, variable-sized data, including arbitrary-length lists, records, mixed types, and missing data, using NumPy-like idioms.
Arrays are dynamically typed, but operations on them are compiled and fast. Their behavior coincides with NumPy when array dimensions are regular and generalizes when they’re not.
Bqplot is a 2-D plotting library for Jupyter. Built upon the Jupyter widgets frameworks, it implements the grammar of graphics constructs.
Beyond plotting, bqplot is focused on using plots to take user inputs in a rich fashion, and using it in combination with other Jupyter interactive widgets to build applications.
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.
Clawpack (“Conservation Laws Package”) is a collection of finite volume methods for linear and nonlinear hyperbolic systems of conservation laws.
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.
Crystal boasts an expressive and intuitive syntax, drawing inspiration from Ruby while incorporating strong static typing and C-like performance. This combination allows developers to write clean and readable code while keeping the benefits of compile-time type checking and improved performance.
CVXPY is an open source Python-embedded modeling language for convex optimization problems.
It lets you express your problem in a natural way that follows the math, rather than in the restrictive standard form required by solvers.
Cython is an optimising static compiler for both the Python programming language and the extended Cython programming language (based on Pyrex). It makes writing C extensions for Python as easy as Python itself.
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.
Devito builds on SymPy and employs automated code generation and just-in-time compilation to execute optimized computational kernels on several computer platforms, including CPUs, GPUs, and clusters thereof.
DyND is a C++ library for dynamic, multidimensional arrays.
It is inspired by NumPy, the Python array programming library at the core of the scientific Python stack, but tries to address a number of obstacles encountered by some of its users. Examples of this are support for variable-sized string, ragged array types, and convenient usage from C++. The library is in a preview development state, and can be thought of as a sandbox where features are being tried and tweaked to gain experience with them.
Effective Quadratures is an open-source library for uncertainty quantification, machine learning, optimisation, numerical integration and dimension reduction – all using orthogonal polynomials.
It is particularly useful for models / problems where output quantities of interest are smooth and continuous; to this extent it has found wides