Hydrogen of nteract

Hydrogen of nteract

Hydrogen is an open-source plugin for adding rich interactive computing capabilities to text editors and IDEs. It allows users to run code interactively in over 50 programming languages with outputs displayed inline.
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opensource plugin interactive-computing multiple-languages

Hydrogen: Interactive Coding

Open-source plugin for interactive computing in text editors and IDEs, supporting 50+ programming languages with inline output displays

What is Hydrogen of nteract?

Hydrogen is an open-source plugin built for the Atom text editor that allows users to run code interactively. It supports over 50 programming languages and enables rich outputs to be displayed inline, including text, tables, plots, images, and more.

Some key features of Hydrogen include:

  • Run code one cell at a time with outputs shown directly below each cell
  • Rich display system supporting plots, images, videos, LaTeX, and more
  • Complete context for variables and functions in your code
  • Built-in support for Python, R, JavaScript, Julia, and many other languages
  • Kernel management system for connecting to local or remote kernels
  • Customizable themes and UI options
  • First-class Jupyter Notebook support via nteract

Hydrogen was created by the nteract team to bring an interactive computing experience seamlessly to text editors and IDEs. It enables data scientists to leverage the power of Jupyter Kernels and Kernel messaging within their preferred coding environment. The plugin is open-source and extensible via a robust API.

Hydrogen of nteract Features

Features

  1. Interactive coding/computing in over 50 languages
  2. Code can be run line-by-line or cell-by-cell
  3. Rich media representations of code outputs (plots, images, video, etc.)
  4. Built-in support for IPython/Jupyter kernels
  5. Language agnostic - can be used with any coding language that has a kernel
  6. Integrates with text editors/IDEs like Atom, VSCode, Spyder, etc.

Pricing

  • Open Source

Pros

Makes coding more interactive and exploratory

Great for data science workflows

Visualizations and media display inline with code

Language agnostic - works across multiple languages

Open source and extensible

Cons

Only works with languages that have kernels

More limited functionality than a full notebook environment like Jupyter

Requires setup and configuration, not just a simple install

Integrations can be buggy depending on editor

Documentation/support not as robust as more mature projects


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