alterlab-vaex
From the author
Out-of-core tabular analytics with Vaex — memory-mapped HDF5/Arrow/Parquet via vaex.open, lazy virtual columns, delayed single-pass aggregations on billion-row tables, binned histograms/heatmaps, and vaex.ml transformers on one machine. Vaex is in minimal-maintenance mode (vaex-core 4.19 from Sep 2025 supports only Python 3.9–3.12 and pandas < 3), so use it to run, fix, or migrate existing Vaex code; for new larger-than-RAM work prefer Polars lazy/streaming queries (alterlab-polars) or Dask (alterlab-dask). Use when a project already depends on Vaex, when opening memory-mapped HDF5/Arrow files, batching aggregations with delay=True, or porting a Vaex pipeline to Polars. Part of the AlterLab Academic Skills suite.
Install
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-vaex -a claude-code
Installs to .claude/skills/alterlab-vaex/ · Each command fetches the skill straight from GitHub with the open skills CLI.
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