EventEmitter3 focuses on performance while maintaining a Node.js AND browser compatible interface.

The Node.js `util.deprecate()` function with browser support

A list of color names and its values

Date formatting and parsing

Generate a hex color from the given text

Check if a protocol requires a certain port number to be added to an URL.

Higher-order functions and common patterns for asynchronous code

Color conversion and manipulation with CSS string support

The systemdspawner enables JupyterHub to spawn single-user notebook servers using systemd.

This package includes WrapSpawner and ProfilesSpawner, which provide mechanisms for runtime configuration of spawners. The inspiration for their development was to allow users to select from a range of pre-defined batch job profiles, but their operation is completely generic.

This package provides a spawner for Jupyterhub to spawn notebooks using batch resource managers.

LDAP Authenticator for JupyterHub

Jupyter telemetry library

JupyterHub: A multi-user server for Jupyter notebooks

The SudoSpawner enables JupyterHub to spawn single-user servers without being root, by spawning an intermediate process via sudo, which takes actions on behalf of the user.

An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.

Python front-end in charge of orchestrating the execution a Melissa based study. It automatically handles large-scale scheduler interactions in OpenMPI and with common cluster schedulers (e.g. slurm or OAR).

Evaluate is a library that makes evaluating and comparing models and reporting their performance easier and more standardized.

Haiku is a simple neural network library for JAX. It is developed by some of the authors of Sonnet, a neural network library for TensorFlow.

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

AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment.

Flax is a neural network library for JAX that is designed for flexibility.

pyRiemann is a Python machine learning package based on scikit-learn API. It provides a high-level interface for processing and classification of real (resp. complex)-valued multivariate data through the Riemannian geometry of symmetric (resp. Hermitian) positive definite (SPD) (resp. HPD) matrices.

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow. It was developed with a focus on enabling fast experimentation and providing a delightful developer experience.