Listed in
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.
We have collected here some useful links to help you find out if Vega-Lite is good.
Check the traffic stats of Vega-Lite on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Vega-Lite on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Vega-Lite's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Vega-Lite on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Vega-Lite on Reddit. This can help you find out how popualr the product is and what people think about it.
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
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
## **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
- 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
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
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
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
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
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
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
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
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
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
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
(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
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
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
Here's approximations of both using Deneb & Vega-Lite. Source: over 4 years ago
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
Also (as stated by others) Vegalite is not a "pure" Julia library, since it wraps the Vegalite javascript library. Source: almost 5 years ago
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
Do you know an article comparing Vega-Lite to other products?
Suggest a link to a post with product alternatives.
Is Vega-Lite good? This is an informative page that will help you find out. Moreover, you can review and discuss Vega-Lite here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.