Generate a 3D Skyline in STL format and a OpenSCAD file from Gitlab contributions

Overview

Your Gitlab's contributions in a 3D Skyline

gitlab-skyline is a Python command to generate a skyline figure from Gitlab contributions as Github did at https://skyline.github.com/

~ usage: gitlab-skyline [-h] [--domain [DOMAIN]] [--max_requests [MAX_REQUESTS]] username [year]

Create STL from Gitlab contributions

positional arguments:
  username              Gitlab username (without @)
  year                  Year of contributions to fetch

optional arguments:
  -h, --help            show this help message and exit
  --domain [DOMAIN]     GitlabEE/CE custom domain
  --max_requests [MAX_REQUESTS]
                        Max. simultaneous requests to Gitlab. Don't mess with their server!

Enjoy!

View a sample result of the preview at samples/gitlab_felixgomez_2020.stl and OpenSCAD generated code at samples/gitlab_felixgomez_2020.scad.

Requirements and installation

gitlab-skyline requires python3 and OpenSCAD. (need Python version >= 3.7)

Create your virtual environment as usual and install dependencies with

pip install -r requirements.txt

Install OpenSCAD from https://www.openscad.org/downloads.html and ensure that openSCAD executable is working with

openscad --version

Quickstart

python gitlab-skyline felixgomez 2020

or

./gitlab-skyline felixgomez 2020

if file has execution permissions.

If you want to get contributions from a custom installation you can use

./gitlab-skyline felixgomez 2020 --domain="https://customdomain.dev:8080"

Docker Usage

For convience, a docker image is produced to generate the stl image file for you:

docker run -v $PWD:/data registry.gitlab.com/felixgomez/gitlab-skyline []

Example: docker run -v $PWD:/data registry.gitlab.com/felixgomez/gitlab-skyline felixgomez

To use any custom parameters, simply append to the docker run command.

Using it in private/custom Gitlab installations

As said before, you can use it in custom installations through the --domain modifier.

Don't forget to make your contributions public in your user profile settings.

Motivation

A few days ago I came across the Github skyline web application and it seemed like a good idea to be able to export the activity in skyline format to STL.

It quickly became viral among my friends, but in my daily work I use Gitlab more. That's when I came up with the idea to replicate it for Gitlab: I needed to have my own contribution skyline!

Some details

The project was developed on a Friday afternoon, although I had consulted some information previously, so do not expect quality code and wonders. As always pull requests are welcome! 😍

At first I was thinking to use the well known Gitlab endpoint https://gitlab.com/users/username/calendar.json but the information it provides is for one year back from now.

As far as I know Gitlab does not provide an endpoint to obtain contribution information by year but digging a bit I found that a call to https://gitlab.com/users/username/calendar_activities?date=2021-02-01 returns an HTML response easy to scrape.

I made use of classic BeautifulSoup for scraping, aiohttp and asyncio to go asynchronous and speed up the scraping process.

There is an extra option (--max-requests) to the gitlab-skyline command to control concurrent requests to Github to avoid the "Too many requests" message from their server.

SolidPython is a beautiful piece of code allowing to generate OpenSCAD code from Python.

Inkscape was used to vectorize the Gitlab logo for extrusion (pending to correct the Viewbox due to lack of time).

Mesh optimization

I love openSCAD for a long time but there are some old well known issues related with errors in the generated geometry. If you detect some on the final STL you could use https://www.meshlab.net/ to correct them.

Thanks!

I hope you like it!

Owner
Félix Gómez
Senior developer at @ultreia_es Degree in Physics.
Félix Gómez
1900-2016 Olympic Data Analysis in Python by plotting different graphs

🔥 Olympics Data Analysis 🔥 In Data Science field, there is a big topic before creating a model for future prediction is Data Analysis. We can find o

Sayan Roy 1 Feb 06, 2022
Blender addon that creates a temporary window of any type from the 3D View.

CreateTempWindow2.8 Blender addon that creates a temporary window of any type from the 3D View. Features Can the following window types: 3D View Graph

3 Nov 27, 2022
Simple Inkscape Scripting

Simple Inkscape Scripting Description In the Inkscape vector-drawing program, how would you go about drawing 100 diamonds, each with a random color an

Scott Pakin 140 Dec 27, 2022
A concise grammar of interactive graphics, built on Vega.

Vega-Lite Vega-Lite provides a higher-level grammar for visual analysis that generates complete Vega specifications. You can find more details, docume

Vega 4k Jan 08, 2023
Custom Plotly Dash components based on Mantine React Components library

Dash Mantine Components Dash Mantine Components is a Dash component library based on Mantine React Components Library. It makes it easier to create go

Snehil Vijay 239 Jan 08, 2023
The interactive graphing library for Python (includes Plotly Express) :sparkles:

plotly.py Latest Release User forum PyPI Downloads License Data Science Workspaces Our recommended IDE for Plotly’s Python graphing library is Dash En

Plotly 12.7k Jan 05, 2023
Tools for calculating and visualizing Elo-like ratings of MLB teams using Retosheet data

Overview This project uses historical baseball games data to calculate an Elo-like rating for MLB teams based on regular season match ups. The Elo rat

Lukas Owens 0 Aug 25, 2021
Using SQLite within Python to create database and analyze Starcraft 2 units data (Pandas also used)

SQLite python Starcraft 2 English This project shows the usage of SQLite with python. To create, modify and communicate with the SQLite database from

1 Dec 30, 2021
An animation engine for explanatory math videos

Powered By: An animation engine for explanatory math videos Hi there, I'm Zheer 👋 I'm a Software Engineer and student!! 🌱 I’m currently learning eve

Zaheer ud Din Faiz 2 Nov 04, 2021
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction

windml Build status : The importance of wind in smart grids with a large number of renewable energy resources is increasing. With the growing infrastr

Computational Intelligence Group 125 Dec 24, 2022
Plot, scatter plots and histograms in the terminal using braille dots

Plot, scatter plots and histograms in the terminal using braille dots, with (almost) no dependancies. Plot with color or make complex figures - similar to a very small sibling to matplotlib. Or use t

Tammo Ippen 207 Dec 30, 2022
View part of your screen in grayscale or simulated color vision deficiency.

monolens View part of your screen in grayscale or filtered to simulate color vision deficiency. Watch the demo on YouTube. Install with pip install mo

Hans Dembinski 31 Oct 11, 2022
Fastest Gephi's ForceAtlas2 graph layout algorithm implemented for Python and NetworkX

ForceAtlas2 for Python A port of Gephi's Force Atlas 2 layout algorithm to Python 2 and Python 3 (with a wrapper for NetworkX and igraph). This is the

Bhargav Chippada 227 Jan 05, 2023
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

100 pandas puzzles Puzzles notebook Solutions notebook Inspired by 100 Numpy exerises, here are 100* short puzzles for testing your knowledge of panda

Alex Riley 1.9k Jan 08, 2023
Small binja plugin to import header file to types

binja-import-header (v1.0.0) Author: matteyeux Import header file to Binary Ninja types view Description: Binary Ninja plugin to import types from C h

matteyeux 15 Dec 10, 2022
Realtime Viewer Mandelbrot set with Python and Taichi (cpu, opengl, cuda, vulkan, metal)

Mandelbrot-set-Realtime-Viewer- Realtime Viewer Mandelbrot set with Python and Taichi (cpu, opengl, cuda, vulkan, metal) Control: "WASD" - movement, "

22 Oct 31, 2022
Create HTML profiling reports from pandas DataFrame objects

Pandas Profiling Documentation | Slack | Stack Overflow Generates profile reports from a pandas DataFrame. The pandas df.describe() function is great

10k Jan 01, 2023
visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem

visualize_ML visualize_ML is a python package made to visualize some of the steps involved while dealing with a Machine Learning problem. It is build

Ayush Singh 164 Dec 12, 2022
Process dataframe in a easily way.

Popanda Written by Shengxuan Wang at OSU. Used for processing dataframe, especially for machine learning. The name is from "Po" in the movie Kung Fu P

ShawnWang 1 Dec 24, 2021
Automate the case review on legal case documents and find the most critical cases using network analysis

Automation on Legal Court Cases Review This project is to automate the case review on legal case documents and find the most critical cases using netw

Yi Yin 7 Dec 28, 2022