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Science.js is a JavaScript library for scientific and statistical computing.
Currently, there are two modules:
science.stats
, containing various implementations of statistical methods
similar to those provided by R;science.lin
, for linear algebra.To help develop Science.js, you need to have Node.js and NPM installed. Once you have done that, run the following from the root directory of this repository to install the development dependencies:
make install
I originally started this in order to add a reusable statistics module to D3.js, but now it's grown into a whole new project of its own!
The project structure and Makefile is based on that of D3, so a big thank you goes to Mike Bostock for this.
FAQs
Scientific and statistical computing in JavaScript.
The npm package science receives a total of 165 weekly downloads. As such, science popularity was classified as not popular.
We found that science demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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