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Vega-Lite

High-level grammar of interactive graphics.

Vega-Lite

Vega-Lite Reviews and Details

This page is designed to help you find out whether Vega-Lite is good and if it is the right choice for you.

Screenshots and images

  • Vega-Lite Landing page
    Landing page //
    2019-09-21

Features & Specs

  1. 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.

  2. 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.

  3. Interactivity

    Vega-Lite allows for the easy creation of interactive visualizations using selections, thereby enhancing user engagement and insight discovery.

  4. 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.

  5. Responsive Design

    Vega-Lite visualizations are designed to be responsive, adapting well to different screen sizes and resolutions.

  6. 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.

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Videos

Vega-Lite: A Grammar of Interactive Graphics

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Vega-Lite and what they use it for.
  • A Preview of DuckDB v2.0
    For a schema-first (vs. Code first) approach (which I think would be a sweet spot for agent driven dashboarding), I'd suggest looking at https://vega.github.io/vega-lite/ or https://vega.github.io/vega/. A little higher level than full D3 but gives you a little higher level approach. - Source: Hacker News / 15 days ago
  • Show HN: DAC – open-source dashboard as code tool for agents and humans
    Why not use Vega-Lite[0]? It’s my go-to data viz DSL with Claude. [0] https://vega.github.io/vega-lite/. - Source: Hacker News / 4 months ago
  • Using GPT for natural language querying
    ## **Follow-up use case - building a query in a query language that the user may not know** This feature is useful when a user needs to query a tool with its own specific query language or with a structure that the user doesn’t know. AWS seems to be running an A/B test of a feature where you can generate a CloudWatch search query based on a natural language input. ![Image... - Source: dev.to / about 1 year ago
  • 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 / about 2 years 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 / about 2 years 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 / over 2 years 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 2 years 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 / about 3 years 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 / over 3 years 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: almost 4 years ago
  • Plotting
    I have a bunch of data that I want to plot. I'm using lisp-stat, which is pretty good, for data frames and analysis. However, lisp-stat uses vega-lite for plotting and to put it mildly, vega-lite is fucking awful. Source: almost 4 years ago
  • Chartist: Simple Responsive Charts in SVG
    I wish the author all the best in developing his library; at the moment it seems quite incomplete, so if you want SVG charts today, I recommend Observable Plot[1] or Vega-Lite[2] [1]: https://github.com/observablehq/plot [2]: https://vega.github.io/vega-lite/. - Source: Hacker News / almost 4 years ago
  • Observable tutorial: Analyze data in a JavaScript-native data notebook
    Alternatively, you can import and use Vega-Lite library which is widely popular and used by thousands of data enthusiasts:. - Source: dev.to / almost 4 years ago
  • A Tiny Grammar of Graphics
    And then pick your favourite language/library that generates that : https://vega.github.io/vega-lite/ecosystem.html. - Source: Hacker News / about 4 years ago
  • Datawrapper: Create Charts, Maps, and Tables
    (Disclaimer: I work at Datawrapper) For most projects, our free plan might suffice: https://blog.datawrapper.de/create-data-visualization-for-free/ It’s fully usable for commercial use as well. In terms of in-between projects, if comfortable with a bit of programming I would probably look at Vega Lite [0] or Observable Plot [1]. For GUI tools, there’s also the excellent RAW Graphs [2] to consider! [0]... - Source: Hacker News / over 4 years ago
  • Experimenting with Data Visualization Using Vega Lite
    Using data pulled from the CDC's National Center for Health Statistics, I plotted a graph using the Vega-Lite JavaScript library on the Observable platform. In the following steps I'm going to detail how I pulled and plotted data illustrating deaths in Latinx communities by county in California. - Source: dev.to / over 4 years ago
  • Any general purpose visualisation "just add the data" framework
    Have you tried Vega or Vega-lite https://vega.github.io/vega-lite/ It allows you to describe the view for your data in the form of simple json specification. It provides a good compromise between flexibility and simplicity. Source: over 4 years ago
  • Fading line chart visual
    Here's approximations of both using Deneb & Vega-Lite. Source: over 4 years ago
  • Generating visualizations from data for web pages
    My understanding is the Altair package https://altair-viz.github.io/ from the Python world does this: Python code generates a Vega-Lite https://vega.github.io/vega-lite/ specification along with the raw data output as json, and these then can be bundled together into a webpage where the vega.js Javascript-based renderer then does the actual visualization work in the browser. Does a similar project for Rust exist?... Source: over 4 years ago
  • Can I say Makie and Vegalite is the best pure Julia data visulization library yet?
    Also (as stated by others) Vegalite is not a "pure" Julia library, since it wraps the Vegalite javascript library. Source: almost 5 years ago
  • Deneb: Declarative Visualization in Power BI
    As such, I've been obsessed with the Vega and Vega-Lite languages for a long time. These use JSON rather than full-blown code, and allow you to build a visual from the ground-up using a grammar of graphics, much like ggplot2 in R or Altair in Python (which is actually an implementation of Vega/Vega-Lite). Source: almost 5 years ago

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