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@nhimm/node-red-contrib-data-forge

v0.0.1

Published

Data Science nodes for Node-RED using Data-Forge. Includes custom debug node for displaying Data-Forge dataframes in table format.

Downloads

3

Readme

Node-RED Contrib Data-Forge

This Node-RED package, @nhi/node-red-contrib-data-forge, provides a collection of nodes designed to facilitate data science tasks within Node-RED using the Data-Forge library. It includes nodes for filtering, melting data, renaming series (columns), and a custom debug node for displaying Data-Forge dataframes in a table format.

Features

More functions from Data-Forge will be added over time, as of release 0.0.1 the following nodes/functions are avilable:

  • Filter: Allows filtering of data based on specified criteria.
  • Melt: Transforms data from wide format to long format.
  • Rename Series: Enables renaming of one or more series (columns) in a DataFrame.
  • DebugDF: A custom debug node tailored for visualizing Data-Forge DataFrames in a user-friendly table format.

Installation

To install this package, you can use Node-RED's Palette Manager or run the following command in your Node-RED user directory (typically ~/.node-red):

npm install @nhi/node-red-contrib-data-forge

Dependencies

This package relies on the following NPM packages:

  • data-forge: A powerful data manipulation and analysis library for JavaScript. After installation, the nodes will be available in the Node-RED editor under the dataForge category. Drag and drop the nodes into your flow and configure them according to your data processing needs.

Contributing

Contributions to this package are welcome. Please ensure that your contributions adhere to the following guidelines:

  • Follow existing coding styles and practices.
  • Update the README.md with details of changes to the interface or significant functionality.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Ashley Davis and the Data-Forge library, for providing the data manipulation capabilities.