awesome-dataframes
github.com/jcmkk3/awesome-dataframes ↗An awesome list of dataframe libraries
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me libraries resources from awesome-dataframes"
Installation instructions →What's inside
Libraries
- agate
agate is a Python data analysis library that is optimized for humans instead of machines. It is an alternative to numpy and pandas that solves real-world problems with readable code.
- Arquero
A JavaScript library for query processing and transformation of array-backed data tables. Following the relational algebra and inspired by the design of dplyr, Arquero provides a fluent API for manipulating column-oriented data frames.
- Assistant
A data science library providing flexible dataframes for Lua 5.1+
- column
High-performance, columnar, in-memory store with bitmap indexing in Go.
- dance
Dancing 💃 with the stats, aka
- daru
daru (Data Analysis in RUby) is a library for storage, analysis, manipulation and visualization of data in Ruby.
Other
- Arrow
A cross-language development platform for in-memory data.
- Consortium for Python Data APIs
- Malloy
An experimental language for describing data relationships and transformations.
- prql
A modern language for transforming data — a simple, powerful, pipelined SQL replacement.
- Substrait
A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
Showing a sample of 74 resources. View the full list on GitHub →