How I create GitHub project reporting from scratch

1. OhMyCode

   1 4 4 7.7 Python

   Discontinued Analytics and reports for GitHub projects

   All source code you can find on GitHub here.

2. Judoscale

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3. matplotlib

   2 39 21,098 9.9 Python

   matplotlib: plotting with Python

   

   Firstly, I tried the most popular visualization library matplotlib. But its configuration didn’t seem clear to me, so moved on with other options.

4. Altair

   3 46 9,722 9.2 Python

   Declarative visualization library for Python

   

   Stopped at altair, its result from the box was quite nice and simple. But I abandoned it as well while implementing the email sending. The reason was that altair saves the rendered image in a specified path. And I would like to avoid disk operations (writing and reading the image in the same process).

5. Pandas

   4 425 45,260 9.9 Python

   Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

   

   Fortunately, I found a chart generator in pandas (a library for data analysis) that uses matplotlib under the hood. Working with it is very simple: create a table, add data, and plot lines.

6. Python-Markdown

   5 16 3,963 7.5 Python

   A Python implementation of John Gruber’s Markdown with Extension support.

   

   For this purpose, I tried markdown library. It's good to create markdown files and very convenient in working with text and tables. However, it renders the content in html without any styles. Hence, the result was far from a pretty looking markdown in editors.

7. marked

   6 69 34,458 9.3 TypeScript

   A markdown parser and compiler. Built for speed.

   

   So I found marked.js and learned that tables are an extension to the original markdown. While I was trying to run CLI of this lib in the console, I got the same result: bare html without css.

8. markdown-it

   7 59 19,477 7.6 JavaScript

   Markdown parser, done right. 100% CommonMark support, extensions, syntax plugins & high speed

   

   Next was markdown-it.js. It was getting even harder because this lib didn’t have a CLI. But the demo looked tempting, so I wrote a js script that reads the file, uses markdown-it, and writes the result back to the file. And you know what? The same result. Bare html.

9. CodeRabbit

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10. generate-github-markdown-css

    8 1 409 6.5 JavaScript

    Generate the CSS for github-markdown-css

    

    And at the moment when I found script that gets styles from GitHub for markdown rendering, I stopped.

11. Jinja2

    9 13 10,806 8.2 Python

    A very fast and expressive template engine.

    

    So I went back to boring technology. I took Jinja2 and rendered html from the template. The code has almost halved, and rationality has doubled.

12. requests

    10 93 52,782 7.4 Python

    A simple, yet elegant, HTTP library.

    

    As an email service, I took Mailgun. It’s free for three months with 5K emails/month, and then $0.8 for every 1K emails. The interface is as simple as possible: send a request for a specific URL with an authentication token. Used requests for HTTP calls.

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