sciris

Sciris

Name: Sciris
Author: sciris

Development community

SOURCE https://github.com/sciris/sciris

Description

Fast, flexible tools to simplify scientific Python

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Welcome to Sciris

[![](https://badgen.net/pypi/v/sciris/?color=blue)](https://pypi.org/project/sciris) [![](https://static.pepy.tech/personalized-badge/sciris?period=total&units=international_system&left_color=grey&right_color=yellow&left_text=Downloads)](https://pepy.tech/project/sciris) [![](https://img.shields.io/pypi/l/sciris.svg)](https://github.com/sciris/sciris/blob/main/LICENSE) [![](https://github.com/sciris/sciris/actions/workflows/test_sciris.yaml/badge.svg)](https://github.com/sciris/sciris/actions/workflows/test_sciris.yaml?query=workflow)

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](https://numpy.org/) and [Matplotlib](https://matplotlib.org/), 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](https://docs.sciris.org/en/latest/overview.html), the [paper](http://paper.sciris.org), or [GitHub](https://github.com/sciris/sciris).

If you have questions, feature suggestions, or would like some help getting started, please reach out to us at or [open an issue](https://github.com/sciris/sciris/issues/new/choose).

Installation

Using pip: `pip install sciris`

Using conda: `conda install -c conda-forge sciris`

Using uv: `uv add sciris`

*Requires Python >= 3.10*.

AI integration

Sciris has MCP servers on [Context 7](https://context7.com/sciris/sciris) and [GitMCP](https://gitmcp.io/sciris/sciris). It also has a Claude Code plugin: to install, add this repository (