FlatBuffers is a cross-platform serialization library for C++,C#, C, Go, Java, JavaScript, PHP, and Python. It was originally created for game development and other performance-critical applications.

Zpp transforms bash in a pre-processor for F90 source files. It offers a set of functions specifically tailored to build clean Fortran90 interfaces by generating code for all types, kinds, and array ranks supported by a given compiler.

Paraconf is a library that provides a simple query language to access a Yaml tree on top of libyaml.

Siconos is an open-source scientific software primarily targeted at modeling and simulating nonsmooth dynamical systems in C++ and in Python: Mechanical systems (rigid or solid) with unilateral contact and Coulomb friction and impact (nonsmooth mechanics, contact dynamics, multibody systems dynamics or granular materials). Switched Electrical Circuit such as electrical circuits with ideal and piecewise linear components: power converter, rectifier, Phase-Locked Loop (PLL) or Analog-to-Digital converter. Sliding mode control systems. Biology (Gene regulatory network).

Other applications are found in Systems and Control (hybrid systems, differential inclusions, optimal control with state constraints), Optimization (Complementarity systems and Variational inequalities), Fluid Mechanics, and Computer Graphics.

Siconos is an open-source scientific software primarily targeted at modeling and simulating nonsmooth dynamical systems in C++ and in Python: Mechanical systems (rigid or solid) with unilateral contact and Coulomb friction and impact (nonsmooth mechanics, contact dynamics, multibody systems dynamics or granular materials). Switched Electrical Circuit such as electrical circuits with ideal and piecewise linear components: power converter, rectifier, Phase-Locked Loop (PLL) or Analog-to-Digital converter. Sliding mode control systems. Biology (Gene regulatory network).

Other applications are found in Systems and Control (hybrid systems, differential inclusions, optimal control with state constraints), Optimization (Complementarity systems and Variational inequalities), Fluid Mechanics, and Computer Graphics.

PyFMI is a package for loading and interacting with FMUs, which are compiled dynamic models compliant with the FMI standard.

The FMI library is intended as a foundation for applications interfacing FMUs that follow FMI Standard. This version of the library supports the FMI 1.0, FMI 2.0 and FMI 3.0 standards.

SimGrid is a scientific instrument to study the behavior of large-scale distributed systems such as grids, "clouds", HPC, and P2P systems. It can be used to evaluate heuristics, prototype applications or even assess legacy MPI applications.

PythonFMU is a lightweight framework that enables the packaging of Python 3 code or CSV files as co-simulation FMUs (following FMI version 2.0).

Batsim is an infrastructure simulator that enables the study of resource management techniques. It can be used for scenarios such as:

• Comparing various scheduling heuristics (research prototypes or real implementations).

• Studying non simple phenomena such as network interference, energy consumption (DVFS, shutdown…) or I/O data movements.

Base ArviZ features and converters.

Modular plotting for ArviZ.

Mixmod is a software package for Model-Based supervised and unsupervised classification on qualitative, quantitative and mixed data.

Main Statistical functionalities:

• Likelihood maximization with EM, CEM and SEM algorithm

• Parsimonious models

• Selection criteria: BIC, ICL, NEC, CV

Bambi is a high-level Bayesian model-building interface written in Python. It works with the PyMC probabilistic programming framework and is designed to make it extremely easy to fit Bayesian mixed-effects models common in biology, social sciences and other disciplines.

formulae is a Python library that implements Wilkinson's formulas for mixed-effects models. The main difference with other implementations like Patsy or formulaic is that formulae can work with formulas describing a model with both common and group specific effects (a.k.a. fixed and random effects, respectively).

Statistical computation and diagnostics for ArviZ.

This package provides Kullback-Leibler projections for Bayesian model selection. Variable selection refers to the process of identifying the most relevant variables in a model from a larger set of predictors. When performing this process, we usually assume that variables contribute unevenly to the outcome, and we want to identify the most important ones. Sometimes we also care about the order in which variables are included in the model.

This package performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework. This framework allows for elastic analysis of functional data through phase and amplitude separation.

OpenTURNS is a scientific C++ and Python library including an internal data model and algorithms dedicated to the treatment of uncertainties. The main goal of this library is giving to specific applications all the functionalities needed to treat uncertainties in studies.

Implements iterative statistics operators for mean, variance, high-order moments, extrema, covariance, threshold, quantile (experimental) and Sobol' indices.

This package provides a toolbox implementing statistical methods to fit heavy-tailed distributions like power laws.

aeon is an open-source toolkit for time series machine learning. Fully compatible with scikit-learn, it brings together the latest machine learning methods alongside a wide range of classical approaches for tasks such as forecasting, clustering, and classification.

This package provides high-performance algorithm implementations to build visibility graphs from time series data.

This package provides a Pytorch/Captum/Tensorflow implementation of Cross-Domain Saliency Maps. The method does not require any model model retraining or modications.