popmon VS model-validation-toolkit

Compare popmon vs model-validation-toolkit 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)
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.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
popmon model-validation-toolkit
1 2
486 29
0.6% -
6.9 7.2
3 months ago 5 months ago
Python Python
MIT License Apache License 2.0
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.

popmon

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

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.

What are some alternatives?

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

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

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.

cape-dataframes - Privacy transformations on Spark and Pandas dataframes backed by a simple policy language.

bodywork - ML pipeline orchestration and model deployments on Kubernetes.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

koalas - Koalas: pandas API on Apache Spark

nannyml - nannyml: post-deployment data science in python

datacompy - Pandas and Spark DataFrame comparison for humans and more!

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

lifetimes - Lifetime value in Python

great_expectations - Always know what to expect from your data.