readme-scribe VS awesome-datascience

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

readme-scribe

A GitHub Action that automatically generates & updates markdown content (like your README.md) (by muesli)
InfluxDB - 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.
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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readme-scribe awesome-datascience
1 9
458 23,777
- 3.7%
1.8 6.9
almost 3 years ago 10 days ago
MIT License MIT 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.

readme-scribe

Posts with mentions or reviews of readme-scribe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-11.
  • How Do I Use A GitHub Action?
    2 projects | /r/github | 11 Sep 2021
    I believe what you're looking for is readme-scribe. See if that works for your needs, if not then you probably need something similar.

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.

What are some alternatives?

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

app-ideas - A Collection of application ideas which can be used to improve your coding skills.

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