Software Alternatives, Accelerators & Startups

Vega-Lite VS BeakerX

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

Vega-Lite logo Vega-Lite

High-level grammar of interactive graphics

BeakerX logo BeakerX

Open Source Polyglot Data Science Tool
  • Vega-Lite Landing page
    Landing page //
    2019-09-21
  • BeakerX Landing page
    Landing page //
    2019-03-18

Vega-Lite videos

Vega-Lite: A Grammar of Interactive Graphics

BeakerX videos

GRAV LABS 16 INCH BEAKER BONG UNBOXING !!!!!

More videos:

  • Review - NEW TAG BEAKER BONG!!!!! 4k Unbox/Sesh
  • Review - Glasscity Bong Review - Glasscity Limited Edition Beaker Base Ice Bong

Category Popularity

0-100% (relative to Vega-Lite and BeakerX)
Data Dashboard
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100
Data Visualization
100 100%
0% 0
Python IDE
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Vega-Lite seems to be a lot more popular than BeakerX. While we know about 22 links to Vega-Lite, we've tracked only 2 mentions of BeakerX. 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 / about 2 months 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 / 4 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 / 11 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
View more

BeakerX mentions (2)

What are some alternatives?

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

Observable - Interactive code examples/posts

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.

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

iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.

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.

Observable Notebooks - The portfolio and technical blog of Chris Henrick – provider of professional web development, data visualization, GIS, mapping, & cartography services.