awesome-datascience VS gdelt

Compare awesome-datascience vs gdelt and see what are their differences.

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awesome-datascience gdelt
9 -
23,777 -
3.7% -
6.9 -
9 days ago -
MIT License BSD 3-clause "New" or "Revised" License
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.

awesome-datascience

Posts with mentions or reviews of awesome-datascience. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-26.

gdelt

Posts with mentions or reviews of gdelt. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning gdelt yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing awesome-datascience and gdelt you can also consider the following projects:

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

heidi - heidi : tidy data in Haskell

vagas-junior-estagio - Empresas que constantemente oferecem vagas para junior e estagiários sem exigir experiência prévia

awesome-ml-for-cybersecurity - :octocat: Machine Learning for Cyber Security

DataScienceResources - Open Source Data Science Resources.

datascience - Curated list of Python resources for data science.

data-science-blogs - A curated list of data science blogs

awesome-production-machine-learning - A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

ScribeSalad - A collection of YouTube videos transcripts : Podcasts (Joe Rogan Experience, Tim Ferris, Jocko podcast, ..), lectures (YaleCourses, MIT lectures, Jordan B. Peterson talks, ..). A big transcripts salad spanning history, geography, science, politics, film making and more.

selfhosted_templates - Portainer templates for selfhosted services

free-data-science-books - Free resources for learning data science

machine-learning-roadmap - A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.