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vaex

Processes large tabular scientific datasets

by k-dense-aiFree

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Description

vaex is an agent skill for processing large tabular scientific datasets with Vaex on a single machine. It is for data that is larger than me…

Highlights

  • Out-of-core tabular processing
  • Lazy expressions and virtual columns
  • Streamed statistics and histograms
  • Filtered views and file conversion
  • HDF5 and Arrow file support

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vaex FAQ

When should I use Vaex?

For data larger than memory on one machine, especially repeated reductions and histograms over HDF5 or Arrow files.

Does Vaex keep every operation within memory?

No. The skill says sorting, joins, large group dictionaries and many estimator fits still need substantial RAM.

What is lazy about it?

Expressions and virtual columns defer computation, while reductions usually run at once.

Which environment should I use?

A separate one, since the repository's default Python is newer than this release supports.

How do I install it?

Run npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill vaex.

Is it checked for security?

Its security audits show a warning from Gen Agent Trust Hub, and passes from Socket and Snyk.

What are the best vaex alternatives?

Popular alternatives to vaex include bigquery-bigframes, pandas-pro and data-scraper-agent. See all vaex alternatives

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