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Plot Alternatives
Similar projects and alternatives to plot
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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evidence
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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nivo
nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
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C4-PlantUML
C4-PlantUML combines the benefits of PlantUML and the C4 model for providing a simple way of describing and communicate software architectures
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echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
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framework
A static site generator for data apps, dashboards, reports, and more. Observable Framework combines JavaScript on the front-end for interactive graphics with any language on the back-end for data analysis. (by observablehq)
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d3
Discontinued Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada: [Moved to: https://github.com/d3/d3] (by mbostock)
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blazor-samples
Explore and learn Syncfusion Blazor components using large collection of demos, example applications and tutorial samples
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better plot alternative or higher similarity.
plot discussion
plot reviews and mentions
Posts with mentions or reviews of plot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-04-08.
- Apache ECharts
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What Killed Innovation?
well, Mike Bostock left to create Observable, and in its latest iteration Observable Plot https://observablehq.com/plot/ is amazing.
This makes the old data viz examples from NYT accessible to the rest of the population who aren't D3.js / canvas / svg whisperers like Mike
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Scientific Visualization: Python and Matplotlib, by Nicolas Rougier
I think https://github.com/uwdata/mosaic is really promising here. See the example https://idl.uw.edu/mosaic/examples/linear-regression.html where the user can recalculate a linear regression based on their selection.
You'd still need to implement any custom selection widgets, data transformations (like other statistical tests) etc. still missing, but i like the technical design to build on top off. It uses https://github.com/observablehq/plot under the hood, which aims to have just as flexible a grammar as ggplot (already quite capable) but with interactive features (built by the creator of d3 and uses it under its hood).
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Vega – A declarative language for interactive visualization designs
I don't see that ever happening in a pleasant way.
However, we will likely have Vega support sometime soon in Scroll. Someone just needs to volunteer and add it (or someone has to fund us to add that).
We now have basics of ObservablePlot (https://observablehq.com/plot/) support (https://scroll.pub/blog/tables.html)
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A New Package for Making Charts in Emacs: Eplot
Neat!
This is one of my favorite spaces, so I'll add some generic advice which may or may not be helpful.
I once had the privilege of working for Max Roser and Hannah Ritchie at Our World in Data, as one of the engineers on their Grapher library (https://github.com/owid/owid-grapher), and learned a ton from them (and others on the team) about making great charts.
My one piece of advice from looking at your examples would be: don't neglect title, subtitle, and caption! They would be so easy to do well because you've already created your "simple headers thingies". A few words go along way. Check out "Storytelling with Data" by Cole Nussbaumer Knaflic for a great read on the subject. Owid's Grapher does those the best, IMO (followed closely by DataWrapper.de -- but that's not open source).
At some point, if you keep up with this, you'll also want to add a dataflow library and DSL. Hadley Wickham's dplyr in R was the GOAT, and I copied that in my Ohayo tool and in OWID Grapher's CoreTable library (https://github.com/owid/owid-grapher/tree/master/packages/%4...). Jeffrey Heer's newish Arquero (https://idl.uw.edu/arquero/) library is also along those lines.
Lately I've delving into Mike Bostock's new thing Plot (https://observablehq.com/plot/). So far, excited by it, but only spent a day or two with it at this point.
I don't use emacs anymore, but hopefully something helpful in the comments above.
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D3 in Depth
If you like the idea of using D3 for data visualization but you want something a bit higher level, check out Observable Plot[1], a library by the D3 team that adds a lot of abstractions and conveniences on top of D3, specifically for building plots, charts and graphs.
And even beyond that, there's Observable Framework[2], a static site generator for building visualization sites (that supports Plot, D3 and lots of other libraries).
1: https://observablehq.com/plot/
2: https://observablehq.com/framework/
- 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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A note from our sponsor - SaaSHub
www.saashub.com | 14 May 2025
Stats
Basic plot repo stats
46
4,767
8.3
2 months ago
observablehq/plot is an open source project licensed under ISC License which is an OSI approved license.
The primary programming language of plot is HTML.
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