
RAWGraphs
Plotly
D3.js
Tableau
Google Charts
NVD3
CanvasJS
Epoch JS
marimo
Observable
Hyperquery
Zerve AI
PythonSandbox
DataLab
Quadratic
Colab Notebooks
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Based on our record, marimo should be more popular than RAWGraphs. It has been mentiond 15 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 Dovetailโs โchartsโ to review various tags (it will show you how many tags per word in various chart options, none are great.) Export desired csvโs from Dovetail Charts to free online data viz software like https://rawgraphs.io Boom. Iโm sure there are better ways but thatโs what I got! Source: over 4 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 4 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 4 years ago
Tools: Excel, Rawgraphs, Affinity Designer. Source: over 4 years ago
Take a look at https://rawgraphs.io/. Source: about 5 years ago
Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / about 2 months ago
Marimo notebooks give you the best of both worlds (https://marimo.io). - Source: Hacker News / 3 months ago
Agree with the author, will add: duckdb is an extremely compelling choice if youโre a developer and want to embed analytics in your app (which can also run in a web browser with wasm!) Think this opens up a lot of interesting possibilities like more powerful analytics notebooks like marimo (https://marimo.io/) โฆ and thatโs just one example of many. - Source: Hacker News / 6 months ago
The training pipeline uses Marimo notebooks (think Jupyter, but reactive). Models are quantized to uint8 and served via CDN. Total bundle for a predictor: up-to 2MB. - Source: dev.to / 7 months ago
Marimo is a Jupyter notebook with each cell being somewhat logically connected to each other. That's way if you update the value of a variable in a cell and re-run it, related values in other cells will be auto-updated and auto-run. This is called reactive execution. Thus the notebook can act as a single python script or app and has an extension of .py instead of .ipynb. - Source: dev.to / 8 months ago
Plotly - Low-Code Data Apps
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.
Hyperquery - Data notebook built for speed, visibility, and collaboration
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.
Zerve AI - What if Jupyter + Figma + VSCode had a baby?