Software Alternatives, Accelerators & Startups

Calcish VS Vega Visualization Grammar

Compare Calcish VS Vega Visualization Grammar and see what are their differences

Calcish logo Calcish

Calculator + JavaScript + AI + Notebook

Vega Visualization Grammar logo Vega Visualization Grammar

Visualization grammar for creating, saving, and sharing interactive visualization designs
  • Calcish Landing page
    Landing page //
    2024-04-13

Calcish is a universal tool for macOS that allows you to quickly do calculations, run code, and chat with local or remote AI easily using the notebook interface.

  • Vega Visualization Grammar Landing page
    Landing page //
    2019-09-21

Category Popularity

0-100% (relative to Calcish and Vega Visualization Grammar)
Developer Tools
47 47%
53% 53
Data Dashboard
0 0%
100% 100
Writing Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100

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 13 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.

Calcish mentions (0)

We have not tracked any mentions of Calcish yet. Tracking of Calcish recommendations started around Apr 2024.

Vega Visualization Grammar mentions (13)

  • 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 / 14 days 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 / 2 months 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 / 5 months 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: about 1 year ago
  • If you had to pick a library from another language (Rust, JS, etc.) that isn’t currently available in Python and have it instantly converted into Python for you to use, what would it be?
    It’s based on Vega https://vega.github.io/vega/ which means it’s an already matured backend. Vega-lite is the Javascript package and Altair is the Python. Source: over 1 year ago
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What are some alternatives?

When comparing Calcish and Vega Visualization Grammar, you can also consider the following products

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-Lite - High-level grammar of interactive graphics

Colaboratory - Free Jupyter notebook environment in the cloud.

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.

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

picasso.js - Turn boring data into a visual masterpiece using picasso.js, an open-source library from Qlik.