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, a powerful divide-and-conquer algorithm that can be used to construct all types of data visualizations. Plywood comes with its own expression language 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.
You can use Plywood in the browser and/or in node.js to easily create your own visualizations and applications. For an example application built using Plywood, please see Pivot.
Plywood also acts as a very advanced query planner for Druid, and Plywood will determine the most optimal way to execute Druid queries.
To use Plywood from npm simply run: npm install plywood.
Plywood can also be used by the browser.
To learn more, see http://plywood.imply.io
- Pivot - a data exploration GUI built using Plywood.
- PlyQL - a SQL-like interface to plywood
- Vadim Ogievetsky talks about the inspiration behind Plywood
To run all the Plywood unit tests you will need to set up the data sources in the DataZoo.
For updates about new and upcoming features follow @implydata on Twitter.
Please file bugs and feature requests by opening and issue on GitHub and direct all questions to our user groups.