MLEM - versioning and deploying your machine learning models using GitOps principles and a standard format for ML models

This page summarizes the projects mentioned and recommended in the original post on /r/madeinpython
Python Data Science Machine Learning developer-tools model-registry

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.
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  • mlem

    Discontinued 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞

    • MLEM is a new MLOps tool to bridge the gap between ML engineers and DevOps teams by using the git-based approach that developers are already familiar with. Using MLEM, developers can store and track their ML models throughout their lifecycle: GitHub - iterative/mlem: 🐶 Version and deploy your ML models following GitOps principles

  • 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.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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