About Weights & Biases
Weights & Biases, often shortened to W&B, is a platform where machine learning teams track experiments, manage models and evaluate AI applications. It acts as a system of record for training AI models and for building applications on top of them.
Its Weave product covers traces for exploring and debugging AI applications, evaluations, a playground for prompts and models, and monitors that support continuous improvement in production. Solutions pages address use cases such as fine-tuning LLMs, training LLMs, RAG, computer vision, evaluations, AI governance, contact centers and quant trading, across industries from healthcare to the public sector.
W&B is a commercial product with a hosted cloud, and its enterprise pages cover security, deployment and performance, with a pricing page for privately hosted options. It is aimed at ML engineers and research teams, and it is not open source.
Key features
- Experiment tracking
- Model registry
- LLM evaluations in Weave
- Traces for debugging AI apps
- Prompt and model playground
- Production monitors
Good fit for
- →Tracking model training runs
- →Evaluating LLM applications
- →Debugging AI agents with traces
- Tags
- mlops
- experiment-tracking
- model-registry
- llm-evaluation
- machine-learning
- observability
- ai-developer-tools
- saas
Weights & Biases: questions and answers
- What is Weights & Biases used for?
- Weights & Biases is an AI developer platform for experiment tracking, model registry and LLM evaluation, with a Weave toolkit for AI applications. It is a good fit for tracking model training runs, evaluating LLM applications and debugging AI agents with traces.
- Is Weights & Biases free?
- Yes. Weights & Biases has a free plan.
- Is Weights & Biases open source?
- No. Weights & Biases is proprietary (closed-source) software. Open-source alternatives to Weights & Biases include MLflow, labml and Langfuse.
- Can I self-host Weights & Biases?
- Yes. Although Weights & Biases is closed source, it can be self-hosted on your own servers, and the vendor also offers a hosted version.
- What are some alternatives to Weights & Biases?
- Weights & Biases competes with DataRobot, Dataiku and Databricks. For open-source options, see Enlisted's ranked list of open-source Weights & Biases alternatives.
Open-source alternatives to Weights & Biases
See all
MLflow
AI Infrastructure
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables te
Apache-2.0vs Weights & Biases★ 28k
labml
AI Infrastructure
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
MITvs Weights & Biases★ 2.3k
Langfuse
AI Infrastructure
Trace, evaluate, and improve AI agents with one open platform. Use production data to unde
OSSvs Weights & Biases★ 35k
Opik
AI Infrastructure
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows wit
Apache-2.0vs Weights & Biases★ 22k
Laminar
AI Infrastructure
Laminar - open-source observability platform purpose-built for AI agents. YC S24.
Apache-2.0vs Weights & Biases★ 3.3k
Pezzo
AI Infrastructure
🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, ver
Apache-2.0vs Weights & Biases★ 3.3k
SaaS alternatives to Weights & Biases
See all
DataRobot
AI Infrastructure
Enterprise platform for building, deploying and governing AI and ML applications
SaaS
Dataiku
AI Infrastructure
Collaborative data science and AI platform for analysts, engineers and business teams
SaaS
Databricks
Data Pipelines & ETL
Lakehouse platform for data engineering, analytics and machine learning
SaaS
Amazon SageMaker
AI Infrastructure
AWS platform for building, training and deploying machine learning models
SaaS
Azure Machine Learning
AI Infrastructure
Microsoft cloud service for training, deploying and managing machine learning models
SaaS
Domino Data Lab
AI Infrastructure
Enterprise MLOps platform for building, governing and deploying data science models
SaaS

