sciris 3.2.9

Fast, flexible tools to simplify scientific Python

What is Sciris?

Sciris is a library of tools that can help make writing scientific Python code easier and more pleasant. Built on top of NumPy and Matplotlib, Sciris provides functions covering a wide range of common math, file I/O, and plotting operations. This means you can get more done with less code, so you can spend less time looking up answers on Stack Overflow or copy-pasting dubious solutions from ChatGPT. It was originally written to help epidemiologists and neuroscientists focus on doing science, rather than on writing code, but Sciris is applicable across scientific domains (and some nonscientific ones too).

For more information, see the full documentation, the paper, or GitHub.

If you have questions, feature suggestions, or would like some help getting started, please reach out to us at [e-mail] or open an issue.

Installation

Using pip: pip install sciris

Using conda: conda install -c conda-forge sciris

Using uv: uv add sciris

Requires Python >= 3.9.

AI integration

Sciris has MCP servers on Context 7 and GitMCP. It also has a Claude Code plugin: to install, add this repository (https://github.com/sciris/sciris) to the Claude Code marketplace and from there install the plugin.

Tests

Sciris comes with an automated test suite covering all functions. You almost certainly don’t need to run these, but if you want to, go to the tests folder and run pytest. See the readme in that folder for more information.