ripl
plot
ripl | plot | |
---|---|---|
3 | 40 | |
308 | 3,959 | |
- | 3.6% | |
8.1 | 8.8 | |
about 1 month ago | 5 days ago | |
TypeScript | HTML | |
MIT License | ISC License |
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ripl
plot
- Ask HN: What's the best charting library for customer-facing dashboards?
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Vega-Altair: Declarative Visualization in Python
I love Vega(-lite) / Altair, the grammar of graphics plotting system is really great to build any kind of chart even when it wasn't thought through by the authors of the library. There are other wrappers for languages that lack viz libraries, such as Elixir / Livebook [0]
However, when I used it a couples years back it struggled with large vizs, I think due to Vega(-lite)'s way of embedding the data in the viz artifact.
Also, interactive is nice but often I just need a quick static plot, and matplotlib is more convenient for this, you can easily see the png in any environment etc.
These days I'm eager to see an Observable Plot [1] wrapper for Python !
[0] https://github.com/livebook-dev/vega_lite
[1] https://github.com/observablehq/plot
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Observable 2.0, a static site generator for data apps
Good questions.
1. It’s just JavaScript so you can fetch stuff dynamically too (see https://observablehq.com/framework/lib/duckdb). But yeah, only client-side. (Though see https://github.com/observablehq/framework/issues/234.)
2. Sure, it’s all open source, I bet you could make that work. Or `yarn deploy` to Observable and configure sharing there (though it wouldn’t let you charge others).
3. Yup. Which is part of the appeal of model of running data loaders at build time: you can query some private data and viewers would only be able to see the final result set. (The lack of something like this has always been a huge problem for Observable notebooks. You’d make some great query-driven charts and then couldn’t make it public without some awkward manual dance of downloading and re-uploading a file to a fork of the notebook.)
4. I wish I knew! It’s being tracked here https://github.com/observablehq/plot/issues/1711. Lately there’s been a lot more work on Framework naturally but now that that’s out…
5. Another good question. We’re definitely interested in tailoring it more to this sort of use case but lots is TBD!
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Using Deno with Jupyter Notebook to build a data dashboard
Observable Plot: A library built on top of D3.js used to visualize data and iterate more quickly on different plot chart
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What website frameworks are used to build these websites?
https://observablehq.com/
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Yandex open sourced it's BI tool DataLens
Observable Plot [0] is also nice. AFAIU it's the same library powering the visualizations within Observable itself.
[0] https://observablehq.com/plot/
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Best React charting libraries for data visualizations
I liked observablehq plot library: https://github.com/observablehq/plot
- Bank Failures Visualized
- Observable Plot: A JavaScript library for exploratory data visualization
What are some alternatives?
plot-react - React wrapper for @observablehq/plot
blazor-samples - Explore and learn Syncfusion Blazor components using large collection of demos, example applications and tutorial samples
echarts - Apache ECharts is a powerful, interactive charting and data visualization library for browser
go-echarts - 🎨 The adorable charts library for Golang
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
cli-d3 - Generate d3 plots from the command-line.
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada: [Moved to: https://github.com/d3/d3]
goraph - Package goraph implements graph data structure and algorithms.
datalens-us - Configuration object storage for DataLens
jsonl-graph - 🏝 JSONL Graph Tools