Extended glob support for JavaScript. Adds (almost) the expressive power of regular expressions to glob patterns.

Event emitter

RStudio is an integrated development environment (IDE) for the R programming language. Some of its features include: Customizable workbench with all of the tools required to work with R in one place (console, source, plots, workspace, help, history, etc.); syntax highlighting editor with code completion; execute code directly from the source editor (line, selection, or file); full support for authoring Sweave and TeX documents. RStudio can also be run as a server, enabling multiple users to access the RStudio IDE using a web browser.

RStudio is an integrated development environment (IDE) for the R programming language. Some of its features include: Customizable workbench with all of the tools required to work with R in one place (console, source, plots, workspace, help, history, etc.); syntax highlighting editor with code completion; execute code directly from the source editor (line, selection, or file); full support for authoring Sweave and TeX documents. RStudio can also be run as a server, enabling multiple users to access the RStudio IDE using a web browser.

This fork of RStudio allows users to switch to different versions of R from the toolbar or project settings. R versions can be recorded in /etc/rstudio/r-versions and in the user's ~/.local/share/rstudio/r-versions.

MathJax is an open-source JavaScript display engine for LaTeX, MathML, and AsciiMath notation that works in all modern browsers, with built-in support for assistive technology like screen readers.

RStudio is an integrated development environment (IDE) for the R programming language. Some of its features include: Customizable workbench with all of the tools required to work with R in one place (console, source, plots, workspace, help, history, etc.); syntax highlighting editor with code completion; execute code directly from the source editor (line, selection, or file); full support for authoring Sweave and TeX documents. RStudio can also be run as a server, enabling multiple users to access the RStudio IDE using a web browser.

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.

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

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.

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.

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).

sktime is a library for time series analysis in Python. It provides a unified interface for multiple time series learning tasks. Currently, this includes forecasting, time series classification, clustering, anomaly/changepoint detection, and other tasks. It comes with time series algorithms and scikit-learn compatible tools to build, tune, and validate time series models.

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.

The package provides systematic time-series feature extraction by combining established algorithms from statistics, time-series analysis, signal processing, and nonlinear dynamics with a robust feature selection algorithm. In this context, the term time-series is interpreted in the broadest possible sense, such that any types of sampled data or even event sequences can be characterised.

This is a Python library for time series data mining. It provides tools for time series classification, clustering and forecasting.

skpro is a unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in Python.

It provides scikit-learn-like, scikit-base compatible interfaces to:

• tabular supervised regressors for probabilistic prediction

• tabular probabilistic time-to-event and survival prediction

• metrics to evaluate probabilistic predictions

• reductions to turn scikit-learn regressors into probabilistic skpro regressors

• building pipelines and composite models

• symbolic probability distributions

This package provides a powerful and scalable library that can be used for a variety of time series data mining tasks.

Skforecast is a Python library for time series forecasting using statistical and machine learning models. It works with any estimator compatible with the scikit-learn API, including popular options like LightGBM, XGBoost, CatBoost, Keras, and many others.

skbase provides base classes for creating scikit-learn-like parametric objects, along with tools to make it easier to build your own packages that follow these design patterns.

This package provides a Python implementation of catch22, a collection of 22 time-series features.

This project is an sklearn extension for machine learning time series or sequences. It provides an integrated pipeline for segmentation, feature extraction, feature processing, and a final estimator compatible with sklearn model evaluation and parameter optimization tools. Seglearn provides a flexible approach to multivariate time series and contextual data for classification, regression, and forecasting problems. Support and examples are provided for learning time series with classical machine learning and deep learning models.

Typst is a markup-based typesetting system that is designed to be as powerful as LaTeX while being much easier to learn and use. Features include built-in markup for math typesetting, bibliography management and other common tasks, an extensible scripting system for uncommon tasks, incremental compilation, and intuitive error messages.