Turn large scientific tables into checked insights.
Analyze large scientific tables with Vaex to produce derived features, statistical summaries, visualizations, and converted datasets.
When to use it
Use for single-machine columnar analysis when data exceeds RAM, particularly repeated reductions and histograms over local compatible files.
Give it scientific tabular files to analyze; it produces validated summaries, plots, and chunked dataset exports.
What you provide
Requires Python 3.9–3.12 for vaex-core 4.19.0; the documented environment uses Python 3.12.
Requires vaex-core 4.19.0, which the installation procedure installs in a separate environment.
This skill
https://arxiv.org/abs/2609.00065
Fetches the skill library paper
vaex-core
Installs vaex-core