1.evidentlyai / evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
+19 stars
from 8,010 · score 3.00
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2.unionai-oss / pandera
A light-weight, flexible, and expressive statistical data testing library
+10 stars
from 4,497 · score 2.40
3.Data-Centric-AI-Community / fg-data-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
+5 stars
from 13,740 · score 1.79
4.deepchecks / 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.
+2 stars
from 4,067 · score 1.10
5.jmcarpenter2 / swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
+1 stars
from 2,629 · score 0.69
6.jupyter-incubator / sparkmagic
Jupyter magics and kernels for working with remote Spark clusters
+1 stars
from 1,368 · score 0.69