#data-analysis

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

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.

Code for the SasView application.

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

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

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

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.

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

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 170,000+ scientists worldwide. 158 ready-to-use 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.

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.

A MCP server for Stata to integrate Stata into your agent.

Run Pine Script® anywhere. PineTS is an open-source transpiler and runtime that brings Pine Script® logic to Node.js and the browser with 1:1 syntax compatibility. Reliably write, port, and run indicators or strategies on your own infrastructure.

Library for ocean wave spectra

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

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

Excelize is a Python port of Go Excelize library that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files.

extract and tweak data from electrochemical tests of cells