pytmangadex
an library to scrape data from mangadex.org (by Sibyl666)
pygal
PYthon svg GrAph plotting Library (by Kozea)
pytmangadex | pygal | |
---|---|---|
1 | 3 | |
7 | 2,607 | |
- | 0.3% | |
5.2 | 7.7 | |
over 3 years ago | 4 months ago | |
Python | Python | |
MIT License | GNU Lesser General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytmangadex
Posts with mentions or reviews of pytmangadex.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-08.
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[OC] I created graphs that show the page count per chapter for the top 20 most popular manga on MyAnimeList. (Notes and interactive charts in comments)
pytmangadex (To fetch info from Mangadex)
pygal
Posts with mentions or reviews of pygal.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-03.
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ECharts for Python
> There is a snapshot library for pyecharts that allows you to convert the HTML produced by the library into formats like JPEG, PNG, PDF and SVG.
One alternative is Pygal: https://github.com/Kozea/pygal/
Even though the library is not actively "developed" but it is a complete library in my opinion.
I feel like with d3.js and eCharts, modern data visualization requires you to run analytics processes first then outputting a JSON then writing the visualization code with JavaScript.
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Homebrew Crafting rules and analysis
I used Pygal to generate the charts, and it uses a unique colour per dataset, so 20 colours for each level. I just didn't see a need to change it.
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[OC] I created graphs that show the page count per chapter for the top 20 most popular manga on MyAnimeList. (Notes and interactive charts in comments)
pygal (To generate the png and interactive charts)