quinnkeast-website VS fastpages

Compare quinnkeast-website vs fastpages and see what are their differences.

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quinnkeast-website fastpages
1 8
2 3,418
- -
7.2 4.3
over 1 year ago over 1 year ago
JavaScript Jupyter Notebook
- Apache License 2.0
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.

quinnkeast-website

Posts with mentions or reviews of quinnkeast-website. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-06.

fastpages

Posts with mentions or reviews of fastpages. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-27.

What are some alternatives?

When comparing quinnkeast-website and fastpages you can also consider the following projects:

ultra-weather - UltraWeather gives user-friendly, actionable weather forecasts.

pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.

gutenberg - A fast static site generator in a single binary with everything built-in. https://www.getzola.org

gitlab

utterances - :crystal_ball: A lightweight comments widget built on GitHub issues

BestPractices - Things that you should (and should not) do in your Materials Informatics research.

git-bug - Distributed, offline-first bug tracker embedded in git, with bridges

fastbook - The fastai book, published as Jupyter Notebooks

rk-minimal - Personal site and experiment playground

2022-portfolio

Financial-Models-Numerical-Methods - Collection of notebooks about quantitative finance, with interactive python code.