whitebox VS xplainable

Compare whitebox vs xplainable and see what are their differences.

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whitebox xplainable
12 2
181 52
0.6% -
2.8 9.0
10 months ago 19 days ago
Python Python
MIT License GNU Affero General Public License v3.0
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.

whitebox

Posts with mentions or reviews of whitebox. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

xplainable

Posts with mentions or reviews of xplainable. We have used some of these posts to build our list of alternatives and similar projects.
  • Explainable (Structured) Machine Learning Algorithm
    1 project | /r/Python | 5 Dec 2023
    Just for some respite from the discussion of our soon-to-be AI overlords (LLMs), I'm one of the contributors to an open-source Python package, Xplainable (https://github.com/xplainable/xplainable). Xplainable is a novel (structured) machine learning algorithm that's inherently explainable, as opposed to being a post-hoc explainer (like SHAP or Lime).
  • Tools for documenting OS Python Package
    1 project | /r/Python | 20 Nov 2023
    I'm looking at migrating the docs for our open-source Python package https://github.com/xplainable/xplainable from sphinx to something else. I was initially looking at either docosaurus or Mintlify. Mintlify looks substantially easier to setup but I'm questioning the extensibility (also the cost).

What are some alternatives?

When comparing whitebox and xplainable you can also consider the following projects:

statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.