Static site generators are tools to create blogs, landing pages and documentation.

This repo contains Github data (stars, forks, issues, create and last modified dates) for 30+ open source static site generators (SSG) and code to create the dataset.

Streamlit app lays out a data story about SSGs with several visualisations.

The stable URL for dataset is https://raw.githubusercontent.com/epogrebnyak/ssg-dataset/main/data/ssg.csv

To download:

import pandas as pd
url = ("https://raw.githubusercontent.com/"
       "epogrebnyak/ssg-dataset/main/data/ssg.csv")
df = pd.read_csv(url, parse_dates=["created", "modified"])

You will need a Github token to retreive stats for many repos. Write out .config.env near to where you run your Python code:

GH_USER="your Github username here"
GH_TOKEN="your Github personal token here"

Your Github personal token is here and token documentation is here.

example/update.py should update data/ssg.csv:

poetry run python example/update.py

Static Site Generators Build Performance Testing:

• framework-based SSG: gatsby, next, nuxt
• non-framework-based SSG: astro, eleventy, hugo, jekyll

• Awesome Static Web Site Generators
• The definitive listing of Static Site Generators — all 460 of them!
• Stay Static </> One Design, Many Samples
• https://jamstack.org/generators/
• https://www.netlifycms.org/docs/add-to-your-site/

• Why Static Site Generators Are The Next Big Thing (2015)
• Static Site Generator Trends (2020)

Evgeny Pogrebnyak. (2021). Github data for static site generators (SSG) popularity (Version 0.1.2) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4429834