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Based on our record, Vega Visualization Grammar should be more popular than RAWGraphs. It has been mentiond 12 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.
Go back through a second time Code themes / pull insights/ double check for keywords tag accuracy Use Dovetail’s “charts” to review various tags (it will show you how many tags per word in various chart options, none are great.) Export desired csv’s from Dovetail Charts to free online data viz software like https://rawgraphs.io Boom. I’m sure there are better ways but that’s what I got! Source: about 2 years ago
Sankey is probably the most common name (after Captain Matthew Henry Phineas Riall Sankey who apparently made them to study energy flows in steam engines). But I've also heard it referred to as an alluvial diagram, for example in https://rawgraphs.io/. Source: over 2 years ago
This seems quite similar to RawGraphs: https://rawgraphs.io/ Both seem to provide a similar interface for dragging in a CSV file and constructing a chart, but RawGraphs is open-source, and can be used in the browser without installing anything (or the code can be downloaded and served locally). The main advantage of Daigo over RawGraphs seems to be that it supports publishing multiple charts as a dashboard.... - Source: Hacker News / over 2 years ago
Tools: Excel, Rawgraphs, Affinity Designer. Source: over 2 years ago
Take a look at https://rawgraphs.io/. Source: about 3 years ago
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 / 18 days ago
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 / 3 months ago
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: 10 months ago
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: about 1 year ago
Eh, I have no reason to, and not much interest in PHP anymore. Things like Vega seem really cool. Source: over 1 year ago
Plotly - Low-Code Data Apps
Vega-Lite - High-level grammar of interactive graphics
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.
picasso.js - Turn boring data into a visual masterpiece using picasso.js, an open-source library from Qlik.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Google Charts - Interactive charts for browsers and mobile devices.