Dask-Coiled and Dash Integration
Dask is an open-source Python library for parallel computing, and Coiled is a service that allows for the easy provisioning, scaling and management of remote Dask clusters. Together, these Plotly partners enable organizations to scale popular data science libraries, including Plotly’s Dash, across parallel computing clusters.
Medium: How to combine Dash and Dask for analytic apps that scale — and perform
Most data science and data visualization tools are simply not designed to deal with datasets containing many millions of rows or terabytes of data. Yet that’s precisely where Dask and Dash shine — and why they are becoming the new standard tools for Python data scientists dealing with Big Data.
Webinar: Plotly & Coiled CEOs Discuss Partnering
How to build your own Dash + Dask apps will be illustrated through a series of open-source examples. The CEOs of Plotly and Coiled, Jack Parmer and Matt Rocklin also discuss the partnership and roadmap between the two companies.
Dash Apps Built with Dash Enterprise
Dash provides a friendly Python interface for creating flexible, interactive, and customizable apps that connect directly to your analytics code.
US Power Grid Explorer
- Visually explore the distribution of the U.S. power grid, including current wind and solar power plants, and potential locations for further wind/solar power plants in this Dash App featuring Datashader, Dash and Dask.
World Cell Towers
- Check out the GitHub repo for this open-source app, featuring a dataset of 40 million rows, parallel processing with Dask, and server-side rendering with Datashader.
Dask enables your production-grade Dash application to load and process very large datasets or models using distributed computing with familiar Python data science tools.