modin-project/modin

Health v2 · maintenance only

Adoption not part of the score

10390 stars · 680 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Modin is a drop-in replacement for pandas that scales DataFrame operations across all CPU cores using Ray, Dask, or Unidist as execution engines. Users speed up existing pandas workflows by changing only the import statement, with support for larger-than-memory datasets.

Use cases

• speed up slow pandas scripts by parallelizing across cores
• work with datasets too large to fit in memory with pandas
• migrate existing pandas notebooks to distributed execution with minimal code changes
• process large CSV files faster than pandas
• run pandas-style analytics on a cluster without rewriting code

When to choose

• you have existing pandas code that is slow or memory-bound
• you want pandas API compatibility without learning a new framework
• you need to scale from a laptop to a cluster with the same code

When to avoid

• your datasets are small and pandas performance is adequate
• you need APIs or behaviors not yet implemented in Modin
• you require fine-grained control over distributed execution semantics

Facets

library · maturity active

data-science etl analytics streaming data-science big-data analytics python windows cloud pandas dataframe distributed-computing ray dask drop-in-replacement parallel-computing data-engineering linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="modin-project/modin")