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Alternatives · Data / numerics

Alternatives to pandas on PyPI

For tabular data, vectorised numerics and analysis. Below are packages that fill the same role — on PyPI, and across other ecosystems.

PyPI In PyPI

Blazingly fast DataFrame library

MaintenanceHealthy

PopularityUnknown

Maintained. Maintained, actively maintained.

Fundamental package for array computing in Python

MaintenanceHealthy

PopularityUnknown

Maintained. Maintained, actively maintained.

Cross-language equivalents

npm· JavaScript

JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing structured data.

MaintenanceAging

PopularityNiche

Aging — last published over a year ago — check before adopting.

crates.io· Rust

DataFrame library based on Apache Arrow

MaintenanceHealthy

PopularityWidely used

Solid choice. Well-adopted and active, actively maintained.

An n-dimensional array for general elements and for numerics. Lightweight array views and slicing; views support chunking and splitting.

MaintenanceHealthy

PopularityTop 1%

Safe default. Widely trusted across the ecosystem, actively maintained.

RubyGems· Ruby

Daru (Data Analysis in RUby) is a library for analysis, manipulation and visualization of data. Daru works seamlessly accross interpreters and leverages interpreter-specific optimizations whenever they are available. It is the default data storage gem for all the statsample gems (glm, timeseries, etc.) and can be used with many others like mixed_models, gnuplotrb, nyaplot and iruby.

MaintenanceAbandoned

PopularityNiche

Abandoned. Last published 6 years ago.

These suggestions come from a hand-curated concept map of canonical packages per role. They’re intentionally narrow — only widely-adopted packages in each category. Phase 5 will add AI-generated alternatives.