Open-source alternatives to Weights & Biases

4 free, open-source alternatives with 37.5K total GitHub stars. The best open-source alternative to Weights & Biases is Langfuse, with 28.4K GitHub stars.

Updated July 2026Stats synced from GitHub
#1
Langfuse

Langfuse

LLM engineering platform — tracing, prompt management, cost tracking.

MIT-licensed alternative to LangSmith. Full observability for LLM chains, version-controlled prompts, A/B testing, and dataset evaluation.

aillmobservability
28.4K2.9KMIT
vs LangSmith
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#2
Helicone

Helicone

LLM observability and AI gateway — one-line integration for logging, cost tracking, prompt management, and rate limiting

Build reliable AI apps with comprehensive observability

aillmobservability
5.8K592Apache-2.0
vs LangSmith
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#3
Laminar

Laminar

Agent observability and evaluation platform — signal alerts, trace debugging, and automated evals for LLM products

Open-source LLM observability platform — trace debugging, signal alerts, and automated evaluations for AI products. Alternative to LangSmith and Helicone.

aillmobservability
3K203Apache-2.0
vs LangSmith
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#4
mlop

mlop

MLOps platform with W&B-compatible API — experiment tracking, model registry, and collaboration for ML teams

Track and optimize machine learning experiments with precision

mlopsmachine-learningexperiments
38010Apache-2.0
vs MLflow
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Compare Weights & Biases alternatives

ToolStarsForksLicenseSelf-hosted
Langfuse28.4K2.9KMITYes
Helicone5.8K592Apache-2.0Yes
Laminar3K203Apache-2.0Yes
mlop38010Apache-2.0Yes

Weights & Biases (W&B) is a widely used MLOps platform for tracking machine learning experiments, hyperparameter sweeps, and model artifacts. It's closed-source and cloud-hosted by default — the free tier is generous for individuals, but team usage and self-hosted deployments require paid enterprise plans, and your experiment data is stored on W&B's servers unless you pay for that option.

mlop is the most direct alternative since it specifically offers a W&B-compatible API, making migration low-friction if you're already using W&B's SDK. Langfuse and Helicone are worth considering instead if your actual need is tracing and observability for LLM applications rather than classic ML experiment tracking, and Laminar if agent evaluation is your primary use case.

FAQ

Is there a free, open-source alternative to Weights & Biases?

Yes. mlop, Langfuse, and Helicone are all open source and free to self-host.

What's the best open-source alternative to Weights & Biases?

mlop is the closest match since it mirrors W&B's API, easing migration. Langfuse is the better pick if you're tracking LLM application behavior rather than traditional model training runs.

What are the top open-source alternatives to Weights & Biases?

Browse all open-source alternatives to Weights & Biases above, or explore the full Developer Tools category for more options.

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