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Vega-Lite VS Runnable CodeSnippets

Compare Vega-Lite VS Runnable CodeSnippets and see what are their differences

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Vega-Lite logo Vega-Lite

High-level grammar of interactive graphics

Runnable CodeSnippets logo Runnable CodeSnippets

Runnable code examples and snippets within your web browser however on native environments that you...
  • Vega-Lite Landing page
    Landing page //
    2019-09-21
  • Runnable CodeSnippets Landing page
    Landing page //
    2022-01-31

Vega-Lite features and specs

  • Declarative Language
    Vega-Lite uses a high-level JSON syntax that simplifies the process of creating complex visualizations by allowing users to specify the visualization in terms of what they want to see rather than how to draw it.
  • Expressive Power
    It supports a wide range of visualizations, including bar charts, line charts, scatter plots, and more complex layered and faceted visualizations, making it suitable for many types of data visualization needs.
  • Interactivity
    Vega-Lite allows for the easy creation of interactive visualizations using selections, thereby enhancing user engagement and insight discovery.
  • Compatibility with Vega
    Visualizations created in Vega-Lite can be automatically compiled to Vega, allowing access to the more extensive feature set of Vega when needed.
  • Responsive Design
    Vega-Lite visualizations are designed to be responsive, adapting well to different screen sizes and resolutions.
  • Ease of Integration
    Being based on a JSON syntax, Vega-Lite visualizations can easily be integrated with web applications, making it a popular choice for adding interactive charts to websites.

Possible disadvantages of Vega-Lite

  • Complexity Limitations
    While Vega-Lite is powerful, it has limitations compared to programming libraries like D3.js when creating highly customized or complex visualizations.
  • Learning Curve
    Even though it simplifies the process compared to lower-level libraries, there is still a learning curve associated with understanding its syntax and the structure of its JSON specification.
  • Performance Constraints
    For very large datasets, performance might become an issue because the library may need to handle more data than it’s optimized for, potentially slowing down rendering times.
  • Limited Customization
    While Vega-Lite offers a good degree of customization, there are limits to how much you can customize visualizations compared to raw Vega or other visualization libraries.
  • Dependence on JSON
    Some users might find the JSON format limiting in terms of readability and maintainability, especially for very complex visualizations.

Runnable CodeSnippets features and specs

No features have been listed yet.

Vega-Lite videos

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Vega-Lite: A Grammar of Interactive Graphics

Runnable CodeSnippets videos

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Category Popularity

0-100% (relative to Vega-Lite and Runnable CodeSnippets)

Vega-Lite

Runnable CodeSnippets

Data Dashboard
100 100%
Data Dashboard
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100
Data Visualization
88 88%
Data Visualization
12% 12
Charting Libraries
100 100%
Charting Libraries
0% 0

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 24 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 (24)

  • Vega – A declarative language for interactive visualization designs
    - In our case some features were missing (and are still missing) - exponential average - that is most commonly used to smooth ML training curves. [1] https://vega.github.io/vega-lite/ [2] https://dvc.org/doc/user-guide/experiment-management/visualizing-plots#visualizing-plots. - Source: Hacker News / 9 months ago
  • Show HN: I made first declaritive SVG,canvas framework
    We use the slightly simpler vega-lite from the same group. It typically gets us 98% of the way there quite quickly. Its from the same team, just a more simple wrapper around D3. https://vega.github.io/vega-lite/. - Source: Hacker News / 11 months ago
  • 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 1 year 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 / over 1 year 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 / almost 2 years ago
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Runnable CodeSnippets mentions (0)

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

What are some alternatives?

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

Observable - Interactive code examples/posts

RequireBin - Prototype browser JavaScript programs using modules from NPM

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

30 seconds of code - JS snippets that you can understand in 30 seconds or less.

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.

RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.

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