Riptable Documentation
Riptable is an open source library built for high-performance data analysis. It’s similar to Pandas by design, but it’s been optimized to meet the needs of Riptable’s core users: quantitative analysts interacting live with large volumes of trading data.
Riptable is based on NumPy, so it shares many core NumPy methods for array-based operations. For users who work with large datasets, Riptable improves on NumPy and Pandas by using multi-threading and efficient memory management, much of it implemented at the C++ level.
Getting Started
New to Riptable? Check out the Intro to Riptable, which takes you through Riptable’s main concepts.
API Reference
The reference guide has more detailed descriptions of the functions, modules, and objects included in Riptable.