alternatives to
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
| Tool | Fit | Stars | Licence | Terms | Self-hosted | Language | Latest | Last push |
|---|---|---|---|---|---|---|---|---|
| Modin | Drop-in | 10k | Apache-2.0 | Open source | No | Python | 0.37.1 | 2026-02-10 |
| cuDF | Drop-in | 9.8k | Apache-2.0 | Open source | No | C++ | v26.08.01 | 2026-10-06 |
| Polars | Full replacement | 40k | MIT | Open source | No | Rust | py-2.0.0 | 2026-10-06 |
| Dask | Partial | 14k | BSD-3-Clause | Open source | No | Python | 2026.8.0 | 2026-09-29 |
| Ibis | Partial | 6.7k | Apache-2.0 | Open source | No | Python | 12.0.0 | 2026-10-05 |
5 alternatives
Modin: Scale your Pandas workflows by changing a single line of code
Import modin.pandas instead and the same code runs on every core through Ray or Dask. Unsupported calls fall back to pandas.
cuDF - GPU DataFrame Library
cudf.pandas runs pandas code unchanged on an NVIDIA GPU, falling back to the CPU where needed.
Extremely fast Query Engine for DataFrames, written in Rust
Multi-threaded DataFrames with lazy queries, in Rust with Python bindings, and a different API.
Parallel computing with task scheduling
pandas-like DataFrames split into partitions, processed in parallel or on a cluster, with part of the pandas API.
the portable Python dataframe library
A dataframe API that compiles to SQL and runs on DuckDB, Polars, PostgreSQL, BigQuery and other backends.