Software Alternatives, Accelerators & Startups

Grid VS Vega-Lite

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

Grid logo Grid

Grid is software designed to assist professionals in creating quality software. The software features a number of essential features for dedicated coding specialists, each of which can prove invaluable in the long run. Read more about Grid.

Vega-Lite logo Vega-Lite

High-level grammar of interactive graphics
  • Grid Landing page
    Landing page //
    2023-08-02
  • Vega-Lite Landing page
    Landing page //
    2019-09-21

Grid videos

Grid Review

More videos:

  • Review - Grid Legends Review
  • Review - Grid - Before You Buy

Vega-Lite videos

Vega-Lite: A Grammar of Interactive Graphics

Category Popularity

0-100% (relative to Grid and Vega-Lite)
Productivity
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Photos & Graphics
100 100%
0% 0
Data Visualization
32 32%
68% 68

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.

Grid mentions (0)

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

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 1 month 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 / 10 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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What are some alternatives?

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

Flickr - image and video hosting website

Observable - Interactive code examples/posts

Imgur - Imgur is a free and simple image hosting service with image editing feature. Signup is optional.

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

LayAuto - Automated window management for Mac ✨

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.