deepchecks VS great_expectations

Compare deepchecks vs great_expectations and see what are their differences.

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deepchecks great_expectations
15 15
3,295 9,361
2.7% 1.9%
8.6 9.9
6 days ago 7 days ago
Python Python
GNU General Public License v3.0 or later 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.

deepchecks

Posts with mentions or reviews of deepchecks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-18.

great_expectations

Posts with mentions or reviews of great_expectations. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-24.

What are some alternatives?

When comparing deepchecks and great_expectations you can also consider the following projects:

evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

kedro-great - The easiest way to integrate Kedro and Great Expectations

re_data - re_data - fix data issues before your users & CEO would discover them 😊

streamlit - Streamlit — A faster way to build and share data apps.

seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

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

soda-core - :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

feast - Feature Store for Machine Learning

dbt-core - dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

Poetry - Python packaging and dependency management made easy

dataprep - Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.