Closed rayluo closed 3 years ago
Thank you @rayluo !!
Added charts.css.py
to awesome Charts.css resources and libraries.
Thanks for your quick action, @ramiy ! Appreciate that.
It is also my first time to be aware of the existence of that "awesome Charts.css resources and libraries" page, and the other alumni on that list. :-) So my follow-up question is, do you plan to somehow expose it and make it more discoverable? Currently I'm only aware of the main Charts.css site https://chartscss.org/ and its docs https://chartscss.org/docs/, yet neither of those main site mentions the "awesome resources".
Awesome Charts.css is a new repo, created only two weeks ago. I didn't exposed it to the public (yet). First I want to add few resources for theme and plugin developers.
When the list will be big enough I will expose it and make it more discoverable. You will see a link from the main site - https://chartscss.org/
In any case, thank you for your contribution to the project, if you have more ideas how to integrate Charts.css in other frameworks and libraries I'll love to promote them in Awesome Charts.css repo.
(also, don't forget to start the main repo - it help immensely)
I think an extra "Resources" section appended at the existing main https://chartscss.org/ and/or https://chartscss.org/docs/ would be a lightweight yet practical approach to provide immediate visibility for those new frameworks. And a flourishing eco-system would help Charts.css itself, too.
Not until that "Resources section" become larger and larger, we would need to create a separated repo. Just my 2 cents.
Hi @ramiy , thank you (and Lana) very much for your great work on the Charts.css! The charts look so nice, and I love the Charts.css's approach so much, that I can't help but create a binding for Charts.css for it to be used in Python. To honor the heritage, the binding is named - what else - charts.css.py, currently supporting most of the basic functionalities of charts.css, demonstrated in its doc.
It would be nice if you can add a "language binding" section in Charts.css 's doc and link to the charts.css.py project. This way you/we can better serve a segment of audience who are familiar with Python but less fluent in css.