Vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second π
Vaex is an open-source dataframes and notebooks project on GitHub under the MIT license (permissive), with 8.5k stars. It is built with CPython and V8. Its last push was today.
- Stars
- 8.5k
- License
- MIT
- Activity
- Active
- Latest release
- vaexpaper_v1
Judgement
- What it is
- Building block
- What it does
- A Python DataFrame library that memory-maps HDF5 and Arrow files to compute statistics and plots on billions of rows without loading them into RAM.
- Adopt it when
- You need to explore very large tabular files on one machine and they are already in HDF5 or Arrow format.
- Watch out
- Real development has largely stopped since its company pivoted, and Polars or DuckDB now cover most of its uses.
- Ready for
- Usable
- Runs as
- Library
- Built with
- Python, C++, Apache Arrow and HDF5
- How established
- Established: started 12 years ago, latest release vaexpaper_v1.
- What the license allows
- You can build it into a product you sell, as long as you keep its copyright notice.
Judged on 2026-11-06 from the project's README and GitHub data. The license and age lines are worked out directly.
Built from
Follow it down: Vaex β CPython β GCC β LLVM project β runs on a microchip
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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.