#pandas

openaivec

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

Fluent, fully-typed assertion library for Python: your type checker sees only the assertions that fit the value, and every failure carries a structured diff. Soft assertions, polling, inline snapshots, OpenAPI contracts.

Python binding for Rust's library for reading excel and odf file - calamine.

High-performance Excel and CSV file generation powered by Rust (~7-9x faster)

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

Statistical data visualization in Python

Python library for configuring a package including defaults, env variable loading, and yaml loading.

Statistical package in Python based on Pandas

Synthetic data that hits the numbers you declare, exactly. Multi-table with verified foreign-key integrity, deterministic, no model in the data path. Python + MCP server. In simple terms, a powerful demo data generator for sales/demos/seed data.

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.

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

Exchange calendars to use with pandas for trading applications

MkDocs plugin that enables a markdown tag like {{ read_csv('table.csv') }} to directly insert various table formats into a page