Displaying 1 to 20 from 129 results

science.js - Scientific and statistical computing in JavaScript.

  •    Javascript

Scientific and statistical computing in JavaScript.

deepvariant - DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data

  •    Python

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.DeepVariant is a suite of Python/C++ programs that run on any Unix-like operating system. For convenience the documentation refers to building and running DeepVariant on Google Cloud Platform, but the tools themselves can be built and run on any standard Linux computer, including on-premise machines. Note that DeepVariant currently requires Python 2.7 and does not yet work with Python 3.

science-based-games-list - Science-based games - a collaborative list


So in general, ones that may make you say I played X for its own sake, yet I've learnt how Y works! for Y being advanced enough. This is a collaborative list dedicated to the public domain (CC0), where everyone is welcomed to contribute! See: how to contribute. It was started, and is being maintained, by Piotr Migdał (the author of Quantum Game with Photons).

numjs - Like NumPy, in JavaScript

  •    Javascript

Besides its obvious scientific uses, NumJs can also be used as an efficient multi-dimensional container of generic data. NumJs is licensed under the MIT license, enabling reuse with almost no restrictions.

sympy - A computer algebra system written in pure Python

  •    Python

A Python library for symbolic mathematics. See the AUTHORS file for the list of authors.

awesome-datascience - :memo: An awesome Data Science repository to learn and apply for real world problems


An open source Data Science repository to learn and apply towards solving real world problems. First of all, Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing suggestions from the data and creating predictions about the future. Here you can find the biggest question for Data Science and hundreds of answers from experts. Our favorite data scientist is Clare Corthell. She is an expert in data-related systems and a hacker, and has been working on a company as a data scientist. Clare's blog. This website helps you to understand the exact way to study as a professional data scientist.

common-workflow-language - Repository for the CWL standards

  •    Python

The Common Workflow Language (CWL) is a specification for describing analysis workflows and tools in a way that makes them portable and scalable across a variety of software and hardware environments, from workstations to cluster, cloud, and high performance computing (HPC) environments. CWL is designed to meet the needs of data-intensive science, such as Bioinformatics, Medical Imaging, Astronomy, Physics, and Chemistry. CWL is developed by a multi-vendor working group consisting of organizations and individuals aiming to enable scientists to share data analysis workflows. The CWL project is maintained on Github and we follow the Open-Stand.org principles for collaborative open standards development. Legally, CWL is a member project of Software Freedom Conservancy and is formally managed by the elected CWL leadership team, however every-day project decisions are made by the CWL community which is open for participation by anyone.

psychopy - For running psychology and neuroscience experiments

  •    Python

PsychoPy is an open-source package for creating psychology stimuli in Python (A real and free alternative to Matlab). PsychoPy combines the graphical strengths of OpenGL with the easy Python syntax to give psychophysics a free and simple stimulus presentation and control package. The goal is to provide, for the busy scientist (including me!), tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. The code is platform independent, using Python and C libraries that are widely available.

singularity - Singularity: Application containers for Linux

  •    Go

Singularity is an open source container platform designed to be simple, fast, and secure. Singularity is optimized for EPC and HPC workloads, allowing untrusted users to run untrusted containers in a trusted way. Check out who is using Singularity and some use cases of Singularity on our website.

stellarium - Stellarium is a free GPL software which renders realistic skies in real time with OpenGL

  •    C++

Stellarium is a free open source planetarium for your computer. It shows a realistic sky in 3D, just like what you see with the naked eye, binoculars or a telescope.

boinc - Open-source software for volunteer computing and grid computing.

  •    PHP

The University of California holds the copyright on all BOINC source code. By submitting contributions to the BOINC code, you irrevocably assign all right, title, and interest, including copyright and all copyright rights, in such contributions to The Regents of the University of California, who may then use the code for any purpose that it desires. BOINC is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

ndarray - 📈 Multidimensional arrays for JavaScript

  •    Javascript

Modular multidimensional arrays for JavaScript.ndarrays can be transposed, flipped, sheared and sliced in constant time per operation. They are useful for representing images, audio, volume graphics, matrices, strings and much more. They work both in node.js and with browserify.

JSNetworkX - Build, process and analyze graphs in JavaScript (port of NetworkX)

  •    Javascript

JSNetworkX allows you to build, process and analyze graphs in JavaScript. It can be used together with D3.js in the browser to create interactive graph visualizations. This will create the global variable jsnx, with which all functions can be accessed.

galaxy - Data intensive science for everyone.

  •    Python

You may wish to make changes from the default configuration. This can be done in the config/galaxy.ini file. Note that not all dependencies for the tools provided in the tool_conf.xml.sample are included. To install them please visit "Manage dependencies" in the admin interface.

osf.io - Facilitating Open Science

  •    Python

The code for https://osf.io. To run the OSF for local development, see README-docker-compose.md.

glumpy - Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization

  •    Python

Glumpy is a python library for scientific visualization that is both fast, scalable and beautiful. Glumpy offers a natural interface between numpy and modern OpenGL.

Dryad - Repository for data underlying scientific publications, based on the DSpace platform

  •    Java

Dryad is a repository for data underlying scientific literature. Dryad allows investigators to validate published findings, explore new analysis methodologies and repurpose the data for research questions unanticipated by the original authors. The core code of Dryad comes from the DSpace repository software. It is a general-purpose repository that makes the data underlying scientific publications discoverable, freely reusable, and citable.