https://github.com/implydata/plywood

A toolkit for querying and interacting with Big Data
https://github.com/implydata/plywood

Last synced: 3 months ago
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A toolkit for querying and interacting with Big Data

• Host: GitHub
• URL: https://github.com/implydata/plywood
• Owner: implydata
• License: apache-2.0
• Created: 2015-07-23T23:19:10.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2024-05-13T14:49:39.000Z (6 months ago)
• Last Synced: 2024-05-16T17:05:13.801Z (6 months ago)
• Language: JavaScript
• Homepage: https://plywood.imply.io
• Size: 60.4 MB
• Stars: 382
• Watchers: 55
• Forks: 60
• Open Issues: 55
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
# Plywood

Plywood is a JavaScript library that simplifies building interactive

visualizations and applications for large data sets. Plywood acts as a

middle-layer between data visualizations and data stores.

Plywood is architected around the principles of nested

[Split-Apply-Combine](http://www.jstatsoft.org/article/view/v040i01/v40i01.pdf),

a powerful divide-and-conquer algorithm that can be used to construct all types

of data visualizations. Plywood comes with its own [expression

language](docs/expressions.md) where a single Plywood expression can

translate to multiple database queries, and where results are returned in a

nested data structure so they can be easily consumed by visualization libraries

such as [D3.js](http://d3js.org/). 

You can use Plywood in the browser and/or in node.js to easily create your own

visualizations and applications.

Plywood also acts as a very advanced query planner for Druid, and Plywood will

determine the most optimal way to execute Druid queries.

## Installation

To use Plywood from npm simply run: `npm install plywood`.

Plywood can also be used by the browser.

## Documentation

To learn more, see [http://plywood.imply.io](http://plywood.imply.io/)

## Questions & Support

For updates about new and upcoming features follow [@implydata](https://twitter.com/implydata) on Twitter.

Please file bugs and feature requests by opening and issue on GitHub and direct all questions to our [user groups](https://groups.google.com/forum/#!forum/imply-user-group).