Best Self-Hosted Weights and Biases Alternatives in 2026
Weights and Biases is an MLOps platform for experiment tracking, model management, and ML pipeline orchestration.
2 Self-Hosted Alternatives to Weights and Biases
Why Look for Weights and Biases Alternatives?
Weights and Biases is an MLOps platform for experiment tracking, model management, and ML pipeline orchestration.
Self-hosted alternatives give you full data ownership, predictable costs, and zero vendor lock-in. You run the software on your own infrastructure and control everything.
2 Best Open-Source Alternatives to Weights and Biases
Langfuse
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents — 23,210 GitHub stars. Licensed under MIT.
mlop
Open source platform for ML engineers to track metrics, parameters, and gradients in real-time. Features Git integration, alerts, and seamless workflow integration. — 370 GitHub stars. Licensed under Apache-2.0.
Why Self-Host Instead of Weights and Biases?
- Data ownership. Your data stays on your server, not on Weights and Biases’s infrastructure.
- Predictable costs. Pay a fixed VPS cost instead of growing per-user or per-usage fees.
- No vendor lock-in. Export and migrate your data anytime. You control the database.
- GDPR and compliance. Hosting your own tools simplifies data residency and compliance requirements.
Why teams switch from Weights and Biases
- → Data ownership. Your data stays on your server -- not on Weights and Biases's infrastructure.
- → Predictable costs. Pay a fixed VPS cost instead of growing per-user or per-usage fees.
- → No vendor lock-in. Export and migrate your data anytime. You control the database.
- → GDPR and compliance. Hosting your own tools simplifies data residency and compliance requirements.
Head-to-Head Comparisons
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