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Python has a Vega-lite package called Altair, which is very pleasant and powerful. [0]
0 - https://altair-viz.github.io
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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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
What sort of maps are you wanting to build? https://c4model.com/ seems to be the more popular standard for this style at the moment. https://github.com/plantuml-stdlib/C4-PlantUML makes this somewhat easy to code out. (And I think most cloud providers have addons for it.)
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What sort of maps are you wanting to build? https://c4model.com/ seems to be the more popular standard for this style at the moment. https://github.com/plantuml-stdlib/C4-PlantUML makes this somewhat easy to code out. (And I think most cloud providers have addons for it.)
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- In our case some features were missing (and are still missing) - exponential average - that is most commonly used to smooth ML training curves.
[1] https://vega.github.io/vega-lite/
[2] https://dvc.org/doc/user-guide/experiment-management/visuali...
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There's also interesting projects for serverside scaling of vega plots - https://github.com/vega/vegafusion
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the uw data lab behind vega also has a new library mosaic[1] that seems pretty exciting. My impression was it allows flexible data transformation/slicing in both the client side and server side, with the same dsl.
[1] https://github.com/uwdata/mosaic
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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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Or if you write it by hand at all, use RCL, then you can also abstract away the repetitive parts: https://github.com/ruuda/rcl/blob/master/examples/vega.rcl
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Wow, Vega is here!
All our projects for data analytic and visualization are based on vega/vega-lite, really impressive by vega's signals design when i learned it first time(it's like rxjs, which i also love).
Share some work based on vega/vega-lite:
- PyGWalker: turn dataframe to tableau alternative UI in jupyter: https://github.com/Kanaries/pygwalker
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- RATH: Automation of data exploration workflow with one click. https://github.com/Kanaries/Rath