operatorai/modelstore
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
When you're building machine learning models, you need a reliable way to save, retrieve, and keep track of different versions. This tool helps you store your trained models on your local computer or in cloud storage like AWS, GCP, or Azure. It takes your finished model and saves it with a unique version, allowing you to easily find and load specific models later. This is for data scientists and MLOps engineers who need to manage their model artifacts.
401 stars. Available on PyPI.
Use this if you need a simple, open-source way to version and store your machine learning models without the overhead of a dedicated model tracking server.
Not ideal if you require advanced model serving capabilities, experiment tracking for model training runs, or a full-fledged MLOps platform with built-in pipelines.
Stars
401
Forks
29
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 22, 2026
Commits (30d)
0
Dependencies
8
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/operatorai/modelstore"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
treeverse/dvc
🦉 Data Versioning and ML Experiments
runpod/runpod-python
🐍 | Python library for RunPod API and serverless worker SDK.
microsoft/vscode-jupyter
VS Code Jupyter extension
4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing...
uber/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning...