Software Alternatives & Reviews
Register | Login

RunKit VS Vega-Lite

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

BoxyHQ
B2B SaaS: Make your app enterprise-ready! Authentication - SAML/OIDC SSO, Directory Sync (SCIM 2.0), Audit Logs, Data Privacy Vault, and more! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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 logo Vega-Lite

High-level grammar of interactive graphics
  • RunKit Landing page
    Landing page //
    2021-07-22
  • Vega-Lite Landing page
    Landing page //
    2019-09-21

RunKit videos

+ Add

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

Vega-Lite videos

+ Add

Vega-Lite: A Grammar of Interactive Graphics

Category Popularity

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

RunKit

Vega-Lite

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Data Visualization
50 50%
Data Visualization
50% 50

User comments

Share your experience with using RunKit and Vega-Lite. For example, how are they different and which one is better?
Log in or Post with

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.

RunKit mentions (0)

We have not tracked any mentions of RunKit yet. Tracking of RunKit 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 / 2 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
View more

What are some alternatives?

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

Observable - Interactive code examples/posts

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

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.

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

Binder - Turn a Git repo into a collection of interactive notebooks

Loading...