Vega-Lite
Observable
D3.js
Vega Visualization Grammar
picasso.js
Antconc
RAWGraphs
Chart.js
Plotly
D3.js
Chart.js
Highcharts
RAWGraphs
Google Charts
Tableau
Microsoft Power BI
Vega-Lite PlotlyPlotly might be a bit more popular than Vega-Lite. We know about 29 links to it since March 2021 and only 22 links to Vega-Lite. 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.
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 / 5 days 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 / 3 months 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 / 9 months 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 / about 1 year 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: over 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Observable - Interactive code examples/posts
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.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Vega Visualization Grammar - Visualization grammar for creating, saving, and sharing interactive visualization designs
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
picasso.js - Turn boring data into a visual masterpiece using picasso.js, an open-source library from Qlik.