Best MLOps: Experiment Tracking & Model Registry Tools

Explore leading tools in the MLOps: Experiment Tracking & Model Registry category, including open-source options and SaaS products. Compare features, use cases, and find the best fit for your workflow.

7 open-source projects · 4 SaaS products

Top open-source MLOps: Experiment Tracking & Model Registry

These projects are active, self-hostable choices for knowledge management teams evaluating alternatives to SaaS tools.

View all 7 open-source options
Most starred project
23,139★

Unified platform for tracking, evaluating, and deploying AI models

Recently updated
3 days ago

MLflow provides end‑to‑end experiment tracking, observability, prompt management, evaluation, and model registry, enabling data scientists and GenAI developers to build, compare, and deploy AI applications confidently.

Dominant language
Python • 4 projects

Expect a strong Python presence among maintained projects.

Popular SaaS Platforms to Replace

Understand the commercial incumbents teams migrate from and how many open-source alternatives exist for each product.

Comet logo

Comet

Experiment tracking, model registry & production monitoring for ML teams

MLOps: Experiment Tracking & Model Registry
Alternatives tracked
7 alternatives
DagsHub logo

DagsHub

Git/DVC-based platform with MLflow experiment tracking and model registry.

MLOps: Experiment Tracking & Model Registry
Alternatives tracked
7 alternatives
Neptune logo

Neptune

Experiment tracking and model registry to log, compare, and manage ML runs.

MLOps: Experiment Tracking & Model Registry
Alternatives tracked
7 alternatives
Weights & Biases logo

Weights & Biases

Experiment tracking, model registry & production monitoring for ML/LLM teams

MLOps: Experiment Tracking & Model Registry
Alternatives tracked
7 alternatives
Most compared product
7 open-source alternatives

Comet lets ML teams log and compare experiments, version datasets and artifacts, register and approve models with governance, and monitor production performance and data drift—all in one platform.

Leading hosted platforms

Frequently replaced when teams want private deployments and lower TCO.

Explore related categories

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