george0st/qgate-model
ML/AI meta-model, used in MLRun/Iguazio/Nuclio, see qgate-sln-
This project helps MLOps engineers, data scientists, or solution architects evaluate and test different machine learning platforms or solutions. It uses a standardized machine learning model definition (in JSON) and synthetic datasets (CSV/Parquet) to compare the capabilities, functions, and quality of various ML systems. The output helps users understand how well different solutions handle common ML workflows and data types.
414 stars. No commits in the last 6 months.
Use this if you need an independent way to benchmark, test new versions, or perform comprehensive quality assurance on machine learning platforms and feature stores.
Not ideal if you are looking for a tool to build or train your own custom machine learning models directly, rather than evaluate ML solutions.
Stars
414
Forks
21
Language
Python
License
Apache-2.0
Category
Last pushed
Aug 17, 2025
Commits (30d)
0
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