model-validation-toolkit VS popmon

Compare model-validation-toolkit vs popmon and see what are their differences.

model-validation-toolkit

Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production and monitoring them after deployment to production. (by FINRAOS)
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model-validation-toolkit popmon
2 1
29 486
- 1.0%
7.2 6.9
5 months ago 3 months ago
Python Python
Apache License 2.0 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.

model-validation-toolkit

Posts with mentions or reviews of model-validation-toolkit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-06.

popmon

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

What are some alternatives?

When comparing model-validation-toolkit and popmon you can also consider the following projects:

deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

sweetviz - Visualize and compare datasets, target values and associations, with one line of code.