fideslang VS misp-taxonomies

Compare fideslang vs misp-taxonomies and see what are their differences.

fideslang

Open-source description language for privacy to declare data types and data behaviors in your tech stack in order to simplify data privacy globally. Supports GDPR, CCPA, LGPD and ISO 19944. (by ethyca)
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fideslang misp-taxonomies
2 1
1 250
- 0.4%
7.2 7.5
15 days ago 7 days ago
Python Python
Creative Commons Attribution 4.0 GNU General Public License v3.0 or later
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.

fideslang

Posts with mentions or reviews of fideslang. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-26.

misp-taxonomies

Posts with mentions or reviews of misp-taxonomies. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-20.
  • Licensing API response data
    2 projects | /r/opensource | 20 Jun 2022
    Some repositories are licensed without having any code: Example with datasets: https://github.com/MISP/misp-taxonomies Example with md documentation: https://github.com/tldr-pages/tldr/blob/main/LICENSE.md

What are some alternatives?

When comparing fideslang and misp-taxonomies you can also consider the following projects:

fides - The Privacy Engineering & Compliance Framework

phantasm - PHANTASM: PHylogenomic ANalyses for the TAxonomy and Systematics of Microbes

MOSP - A collaborative platform for creating, editing and sharing JSON objects.

pyani - Application and Python module for average nucleotide identity analyses of microbes.