vaex
CommunityAnalyze 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 requiredComponents
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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