vaex

Community

Analyze massive datasets beyond memory limits.

Authorovachiever
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill introduces Vaex for out-of-core, lazy-evaluated dataframes that handle datasets far larger than RAM, enabling fast statistics, visualizations, and ML pipelines on big data.

Core Features & Use Cases

  • Out-of-core dataframes: Open and analyze multi-terabyte datasets without loading entirely into memory.
  • Efficient aggregations & virtual columns: Create derived features without materializing large intermediate datasets.
  • ML pipelines on big data: Build scalable pipelines with Vaex ML, scikit-learn integration, and streaming I/O.

Quick Start

Open a large dataset, create a virtual column, and compute a fast mean without loading all data.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: vaex
Download link: https://github.com/ovachiever/droid-tings/archive/main.zip#vaex

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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