https://github.com/tpapp/functionaltables.jl

Julia package for working with (potentially large) columns of data.
https://github.com/tpapp/functionaltables.jl

Last synced: over 1 year ago
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Julia package for working with (potentially large) columns of data.

• Host: GitHub
• URL: https://github.com/tpapp/functionaltables.jl
• Owner: tpapp
• License: other
• Created: 2018-09-20T09:07:44.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2020-12-20T09:15:07.000Z (over 5 years ago)
• Last Synced: 2025-02-28T16:20:11.144Z (over 1 year ago)
• Language: Julia
• Size: 102 KB
• Stars: 5
• Watchers: 3
• Forks: 1
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# FunctionalTables

![Lifecycle](https://img.shields.io/badge/lifecycle-experimental-orange.svg)

[![Build Status](https://travis-ci.org/tpapp/FunctionalTables.jl.svg?branch=master)](https://travis-ci.org/tpapp/FunctionalTables.jl)

[![codecov.io](http://codecov.io/github/tpapp/FunctionalTables.jl/coverage.svg?branch=master)](http://codecov.io/github/tpapp/FunctionalTables.jl?branch=master)

Julia package for working with (potentially large) columns of data.

# Design

A *table* is a collection of *columns*, indexed by `Symbol`s.

Columns are *immutable*, which allows compression and type narrowing when applicable. Columns do not support random access, just `iterate`.

Columns are created by collecting elements into *sinks*, which are then finalized. While being collected into, sinks can change representation, eg decide whether to use RLE or other compression schemes, `mmap` to disk for large data, etc --- these can be configured and ideally ignored by the user.

`NamedTuple`s are used pervasively throughout the interface.

# Status

Heavily experimental, API changes radically without warnings or deprecations. This primarily an experiment, the package will be registered if it works out.