#data-analysis

Performance analytics, portfolio backtesting, risk analysis, and factsheet reporting in Python

Ultra-fast and customizable Python charts

Powerful, efficient particle trajectory analysis in scientific Python.

A semantic data platform MCP server that composes multiple data tools with bidirectional cross-injection - tool responses automatically include critical context from other services.

extract and tweak data from electrochemical tests of cells

Data reduction for ESS instruments

Community-driven, simple, yet powerful framework for fast, cost-effective distributed Compute over Data.

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

Code for the SasView application.

Brain of Bolster, Be Ware

A DataHub MCP Server and composable Go library for building custom MCP servers that integrate DataHub metadata capabilities. Part of the txn2 MCP toolkit ecosystem.

PyGWalker: Turn your dataframe into an interactive UI for visual analysis

Run Pine Script® anywhere. PineTS is LuxAlgo's open-source Pine Script® runtime for Node.js and the browser.

Extract data from a wide range of Internet sources into a pandas DataFrame.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Beautiful, open source, WebGPU-based charting library

A MCP server for integrating Stata into your agent loop with a safety-first design.

Postgres intelligence for ai agents

Library for ocean wave spectra

Redshift Python Connector. It supports Python Database API Specification v2.0.

Inspection of tabular (csv, xls-like, parquet) files to guess the columns' content

Datagrunt is a Python library designed to simplify the way you work with CSV, Excel, Parquet, and PDF files. It provides a streamlined approach to reading, processing, and transforming your data into various formats, making data manipulation efficient and intuitive.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Not just an alternative to Pandas in Go. A next-generation data analysis library for Golang with factor analysis, Parquet, CSV, JSON, Excel, and seamless Python integration.

Golang charting and graphing library

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

AI agent framework with Jupyter sandbox, data analysis, MCP tools, ACP protocol, multi-provider LLM, and standalone runtime packaging

A Python library for Global and Target Analysis of time-resolved spectroscopy data