Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Explore and visualize large datasets quickly, processing billions of rows of data per second.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeOut-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
vaex has 8.5k stars on GitHub. It has been forked 602 times. vaex is written mainly in Python. It has been in active development since 2014. vaex is available under the MIT license. Its main topics are bigdata, data-science, dataframe, hdf5.
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
vaex is an open-source project. It is released under the MIT license.
Yes. vaex is free and open source — you can use, modify and self-host it.
vaex is available under the MIT license.
vaex is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/vaexio-vaex.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.