Individual skill
vaex
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.
cli-tool/components/skills/scientific/vaex/SKILL.md
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- Last checked
- Nov 4, 2026
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- Repository last updated
- Nov 8, 2026
- License
- MIT
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SKILL.mdcore · 6,532 bytesSKILL.mdcore · 6,532 bytesSKILL.mdcore · 6,532 bytesSKILL.mdcore · 6,532 bytesSKILL.mdcore · 6,532 bytesreferences/core_dataframes.mddoc · 7,878 bytesreferences/data_processing.mddoc · 12,451 bytesreferences/io_operations.mddoc · 14,989 bytesreferences/machine_learning.mddoc · 15,941 bytesreferences/performance.mddoc · 13,705 bytesreferences/visualization.mddoc · 13,188 bytes
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# Vaex
## Overview
Vaex is a high-performance Python library designed for lazy, out-of-core DataFrames to process and visualize tabular datasets that are too large to fit into RAM. Vaex can process over a billion rows per second, enabling interactive data exploration and analysis on datasets with billions of rows.
## When to Use This Skill
Use Vaex when:
- Processing tabular datasets larger than available RAM (gigabytes to terabytes)
- Performing fast statistical aggregations on massive datasets
- Creating visualizations and heatmaps of large datasets
- Building machine learning pipelines on big data
- Converting between data formats (CSV, HDF5, Arrow, Parquet)