pulseui
htl
pulseui | htl | |
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2 | 1 | |
31 | 297 | |
- | 2.0% | |
7.6 | 0.0 | |
20 days ago | 10 months ago | |
Java | JavaScript | |
GNU General Public License v3.0 or later | ISC License |
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pulseui
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Observable 2.0, a static site generator for data apps
I took the query only what you need approach with PulseUI: https://www.timestored.com/pulse/ It emphasises not sending all data to the client. For real-time and very large data sets this is the only option.
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Airplane acquired by Airtable and is shutting down
We make a low-code offering that allows creating interactive applications. We are much less of a generic tool, more specialized towards "real-time" and often finance based apps. If that sounds useful to you please checkout PulseUI: https://www.timestored.com/pulse/
My business partner and I bootstrapped the company 12+ years ago and have been profitably supplying data tooling for years. We've often signed escrow with larger companies to avoid this kind of bus-factor problem and are now going open source: https://github.com/timestored/pulseui Given our first product was started over a decade ago it's a journey to get there.
htl
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Observable 2.0, a static site generator for data apps
From the Observable Framework point of view, you’re very welcome to use Apache ECharts or any other library instead of Observable Plot, since you can import whatever you like and it’s all just JavaScript.
Since there was a lot of interest in this thread, Mike added a page to the docs with an ECharts example: https://observablehq.com/framework/lib/echarts
There are two pieces of that example code specific to Framework: the html`` tagged template literal creates a DOM element (see https://github.com/observablehq/htl, also usable outside Framework), and the display function inserts it into the document above the code block (see https://observablehq.com/framework/javascript/display). Note that, whereas Observable Plot takes an options object and returns a DOM element, ECharts instead takes a DOM element and mutates it — but in general they should be equally easy to use in Framework.
Like Plot (and Vega-Lite, another great option), ECharts is also now one of Framework’s built-in “recommended libraries” (see https://observablehq.com/framework/javascript/imports#implic...), meaning that if you reference `echarts` Framework will lazy-load it for you. Adding that was a two-line diff: https://github.com/observablehq/framework/pull/811/files#dif.... But I wanna emphasize that Framework doesn’t have to explicitly “support” a given library for you to use it. “Supporting” in this case just means the convenience of saving you a one-line import statement. But don’t wait for our blessing!! Use whatever.
What are some alternatives?
observable-codespace - Codespace prerequisites for starting with Observable Framework.
plot - A concise API for exploratory data visualization implementing a layered grammar of graphics
obsplot - Observable Plot bindings for R
evidence - Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
opendata.cern.ch - Source code for the CERN Open Data portal
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.
pyobsplot - Observable Plot in Jupyter notebooks and Quarto documents
owid-grapher - A platform for creating interactive data visualizations