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Vega Visualization Grammar VS picasso.js

Compare Vega Visualization Grammar VS picasso.js and see what are their differences

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Vega Visualization Grammar logo Vega Visualization Grammar

Visualization grammar for creating, saving, and sharing interactive visualization designs

picasso.js logo picasso.js

Turn boring data into a visual masterpiece using picasso.js, an open-source library from Qlik.
  • Vega Visualization Grammar Landing page
    Landing page //
    2019-09-21
  • picasso.js Landing page
    Landing page //
    2021-07-28

Vega Visualization Grammar features and specs

  • Declarative Syntax
    Vega uses a high-level JSON syntax that allows users to create complex visualizations without detailed procedural coding. This makes the creation process intuitive and accessible to non-programmers.
  • Interactivity and Animation
    Vega supports interactive visualizations and animations out of the box, enabling users to create dynamic data presentations that are more engaging for viewers.
  • Consistent Output
    The visualization grammar ensures that graphics are rendered consistently across different platforms and devices, maintaining a high standard of visual quality.
  • Compatibility and Integration
    Vega is built on top of the D3.js library, providing robust integration capabilities with other web technologies and data visualization tools, expanding its functionality.
  • Extensibility
    Users can extend the existing functionalities to define custom visualizations, offering flexibility to tailor the tool to specific needs.

Possible disadvantages of Vega Visualization Grammar

  • Complexity for Beginners
    While Vega is designed to be accessible, the initial learning curve can be steep for users who are not familiar with JSON or programming concepts.
  • Performance Overhead
    For very large datasets or highly complex visualizations, performance can become an issue as Vega's abstraction might introduce overhead compared to lower-level libraries.
  • Limited Customization
    Although Vega is flexible, there are certain visual details that might be challenging to customize exactly as desired due to its abstracted nature.
  • Dependency on JSON
    Despite its advantages, the reliance on JSON can be cumbersome for users who are more comfortable with traditional coding paradigms.
  • Documentation and Support
    While there is substantial documentation available, some users might find it lacking detailed examples for advanced use-cases, and community support is not as extensive as some competing tools.

picasso.js features and specs

No features have been listed yet.

Vega Visualization Grammar videos

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picasso.js videos

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Learn Qlik® - Picasso.js - Box Component

Category Popularity

0-100% (relative to Vega Visualization Grammar and picasso.js)

Vega Visualization Grammar

picasso.js

Data Visualization
64 64%
Data Visualization
36% 36
Data Dashboard
70 70%
Data Dashboard
30% 30
Developer Tools
54 54%
Developer Tools
46% 46
Charting Libraries
100 100%
Charting Libraries
0% 0

User comments

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Social recommendations and mentions

Based on our record, Vega Visualization Grammar seems to be more popular. It has been mentiond 14 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 Visualization Grammar mentions (14)

  • 2024 Nuxt3 Annual Ecosystem Summary🚀
    Document address: Vega Official Document. - Source: dev.to / 4 months ago
  • Show HN: I made first declaritive SVG,canvas framework
    This looks interesting but I’m pretty sure it’s not the first declarative charting tool. (Eg Vega https://vega.github.io/vega/). - Source: Hacker News / 11 months ago
  • Show HN: Minard – Generate beautiful charts with natural language
    Hi HN – Excited to share a beta for Minard, a new data visualization toolkit we've been working on that lets you generate publication-quality charts with simple natural language (throw away your matplotlib docs and rejoice!). Upload or import CSVs, Excel, and JSON, give it a spin, and please let us know what you think! (Long format data works best for now) For those curious, the stack is a simple Django app with... - Source: Hacker News / about 1 year ago
  • Plotting XGBoost Models with Elixir
    I recently added support for plotting XGBoost models using Vega (https://vega.github.io/vega/) into the XGBoost Elixir API (https://github.com/acalejos/exgboost). Since EXGBoost supports loading trained models across different APIs, you can even train using the Python API and then plot using this Elixir API if you prefer. - Source: Hacker News / over 1 year ago
  • [OC] Most In-Demand Programming Languages from Jan-2022 to Jun-2023
    The Data Source is from devjobsscanner (I am basically the owner, so I have the data) an the tool used to make the chart is Vega. Source: almost 2 years ago
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picasso.js mentions (0)

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

What are some alternatives?

When comparing Vega Visualization Grammar and picasso.js, you can also consider the following products

Vega-Lite - High-level grammar of interactive graphics

Observable - Interactive code examples/posts

Chart.js - Easy, object oriented client side graphs for designers and developers.

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.

Antconc - The website of Laurence Anthony. Professor at Waseda University Japan, developer of AntConc, a freeware concordancer software program for Windows, Linux, and Macintosh OS X

ReactiveDoc - Create Dynamic Documentation, Code Snippets, Simple Apps and Automations with Markdown, HTML and JS

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