How I create GitHub project reporting from scratch

• OhMyCode

  0 4 7.7 Python

  Discontinued Analytics and reports for GitHub projects

  All source code you can find on GitHub here.

• matplotlib

  4 19,176 10.0 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.

• WorkOS

  workos.com

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  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• Altair

  7 8,873 9.0 Python

  Declarative statistical 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).

• Pandas

  43 41,863 10.0 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.

• Python-Markdown

  1 3,567 8.0 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.

• marked

  15 31,794 9.5 JavaScript

  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.

• markdown-it

  6 17,085 8.5 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.

• InfluxDB

  www.influxdata.com

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  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• generate-github-markdown-css

  0 362 6.2 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.

• Jinja2

  0 9,931 7.0 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.

• requests

  4 51,293 8.5 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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