The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

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• Updated Nov 11, 2026
• Python

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.

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• Updated Nov 12, 2026
• Python

Open Source ML Model Versioning, Metadata, and Experiment Management

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• Updated Jul 23, 2024
• Java

⏱️Make Laravel model versionable

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• Updated Nov 4, 2026
• PHP

Docker for Your ML/DL Models Based on OCI Artifacts

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• Updated Jan 26, 2024
• Go

Simplified snapshots and restoration for ActiveRecord models and associations with a transparent white-box implementation

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• Updated Sep 11, 2026
• Ruby

A scalable, high-performance serving system for federated learning models

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• Updated Dec 19, 2024
• Java

Metadata store for Production ML

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• Updated Sep 29, 2022
• Python

Cloud Native Machine Learning Model Registry

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• Updated Jan 12, 2023
• Go

Version, share, deploy, and monitor models.

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• Updated Jul 1, 2026
• Python

Laravel Model history tracking made easy

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• Updated Apr 9, 2026
• PHP

A lightweight command line interface for the management of arbitrary machine learning tasks

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• Updated Jan 29, 2021
• Python

A Laravel package for versioning Eloquent models with a simple and scalable approach.

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• Updated Mar 15, 2024
• PHP

Frictionless Machine Learning on Kubernetes

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• Updated Mar 7, 2023
• Go

A Model Management Platform (MMP) for Industry 4.0 Environments (Frontend)

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• Updated Oct 28, 2020
• TypeScript

A Model Management Platform (MMP) for Industry 4.0 Environments (Backend)

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• Updated Jun 4, 2020
• Java

Model versioning using Weight&Biases with Python.

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• Updated Feb 10, 2022
• Python

Immutable checkpoint storage for ML training pipelines. Kernel-level protection, anomaly detection, score-gated rollback, and self-healing recovery. Built in Rust.

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• Updated Apr 4, 2026
• Rust

Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.

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• Updated Oct 4, 2022
• Python

Deploying a Machine Learning Model on Heroku with FastAPI using CI/CD tools as GitHub Actions and Heroku Automatic Deployment.

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• Updated Jul 28, 2021
• Jupyter Notebook