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Vega-Lite VS RunKit

Compare Vega-Lite VS RunKit and see what are their differences

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Vega-Lite logo Vega-Lite

High-level grammar of interactive graphics

RunKit logo RunKit

RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.
  • Vega-Lite Landing page
    Landing page //
    2019-09-21
  • RunKit Landing page
    Landing page //
    2021-07-22

Vega-Lite videos

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Vega-Lite: A Grammar of Interactive Graphics

RunKit videos

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Runkit - NodeJS Notebook in Bangla | Create And Publish API from Your Browser Fast And Secure

Category Popularity

0-100% (relative to Vega-Lite and RunKit)

Vega-Lite

RunKit

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Data Visualization
51 51%
Data Visualization
49% 49
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

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Social recommendations and mentions

Based on our record, Vega-Lite seems to be more popular. It has been mentiond 22 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Vega-Lite mentions (22)

  • Ask HN: What's the best charting library for customer-facing dashboards?
    I like Vega-Lite: https://vega.github.io/vega-lite/ It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/] My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if... - Source: Hacker News / 5 days ago
  • Gnuplotlib: Non-Painful Plotting for NumPy
    I also have difficulties with Gnuplot and Matplotlib. I like Vega that allows me to create visualisations in a declarative way. If I really need something special I go with d3.js, which had a really steep learning curve but with ChatGPT it should have become easier for beginners. [1] https://vega.github.io/vega-lite/. - Source: Hacker News / 3 months ago
  • Elixir Livebook is a secret weapon for documentation
    To ensure you do not miss this: LiveBook comes with a Vega Lite integration (https://livebook.dev/integrations -> https://livebook.dev/integrations/vega-lite/), which means you get access to a lot of visualisations out of the box, should you need that (https://vega.github.io/vega-lite/). In the same "standing on giant's shoulders" stance, you can use Explorer (see example LiveBook at... - Source: Hacker News / 9 months ago
  • Observable Plot: The JavaScript library for exploratory data visualization
    Nice, would be nice to have it integrated in GitHub markdown. Looks similar to Vega or Vega-lite(https://vega.github.io/vega-lite/). Definitely as rich as D3.js but gets the job done for simple visualisations. - Source: Hacker News / about 1 year ago
  • 2022 FIFA World Cup finishing position probability per team [OC]
    The underlying data is from an online betting site. Data analysis was done in Python and I used Vega/Altair for the visualisation. Source: over 1 year ago
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RunKit mentions (0)

We have not tracked any mentions of RunKit yet. Tracking of RunKit recommendations started around Mar 2021.

What are some alternatives?

When comparing Vega-Lite and RunKit, you can also consider the following products

Observable - Interactive code examples/posts

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

nbviewer.org - Rackspace server host Jupyter Notebooks from your github repo

Vega Visualization Grammar - Visualization grammar for creating, saving, and sharing interactive visualization designs

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Plotly - Low-Code Data Apps

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