Scientific Archives - Page 20 of 34

Dask – Advanced Parallelism for Analytics

Dask is a flexible parallel computing library for analytic computing. It takes a Python job and shares it across multiple systems.

Optimus is the missing framework to profile, clean, process and do ML in a distributed fashion using Apache Spark (PySpark).

yt is an open-source Python package for analyzing and visualizing volumetric data. yt focuses on driving physically-meaningful inquiry.

AWS Data Wrangler extends the power of Pandas library to AWS connecting DataFrames and AWS data related services.

The R Project for Statistical Computing (R) is a free software environment for statistical computing and graphics.

MOA is a software environment for implementing algorithms and running experiments for online learning from evolving data streams.

Orange is a component-based framework for machine learning and data mining. It includes a range of data visualization, and exploration.

Environment for DeveLoping KDD-Applications Supported by Index-Structures (ELKI) is a data mining software framework.

DataMelt is an environment for scientific computation, data analysis and data visualization.

Weka (Waikato Environment for Knowledge Analysis) is a comprehensive popular suite of machine learning software written in Java.

Rattle provides a Gnome based open source interface to R functionality for binary classification tasks and data mining.

SU2 is a suite of tools for the numerical solution of partial differential equations (PDE) and performing PDE constrained optimization.

Sherpa is a Monte Carlo event generator for the Simulation of High-Energy Reactions of PArticles.

Herwig is a multi-purpose particle physics event generator.

Rivet is a system for preservation of particle-collider analysis logic, analysis reinterpretation via MC simulations.