Tools
MLflow vs Weights & Biases
MLflow or Weights & Biases? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: Command line, Self-hosted, API, Official SDKs, Builds agents and workflows, Traces and evaluates
- Only Weights & Biases states: Runs models for you
MLflow
MLflow is an open-source platform for tracking, evaluating, deploying, and monitoring machine learning models, LLM applications, and agents.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Command line — “The easiest way to start MLflow server is to run the mlflow CLI command in your terminal.” source
- Self-hosted — “Thousands of users and organizations run their own MLflow instances to meet their specific needs.” source
- API — “This page hosts the API documentation for MLflow.” source
- Official SDKs — “Python API” source
- Builds agents and workflows — “Hands-on guides and code examples for building Agents and LLM applications with MLflow.” source
- Traces and evaluates — “Capture complete traces of your LLM applications and agents to get deep insights into their behavior.” source
Latest updates
- MLflow 3.16.0 Highlights: Build-Your-Own Trace Views, a Redesigned Trace Explorer, and Span Links (3.16.0)
Build trace views in plain English, use the trace explorer, and record links between spans.
- MLflow 3.15.0 Highlights: MCP Registry, a Smarter Assistant, and Multimodal Judges (3.15.0)
Register and share MCP servers, choose LLM providers in the Assistant, save and share Runs table views, transfer artifacts using presigned URLs, and evaluate image…
- MLflow 3.14.0 Highlights: One-Line Agent Onboarding, Review Queues, Pytest Integration, and the LLM Playground (3.14.0)
Onboard apps with mlflow agent setup, collect trace reviews, manage evaluation datasets in the UI, run pytest regression tests, and use an in-browser LLM Playground.
Weights & Biases
AI developer platform for tracking experiments, managing models and datasets, and evaluating and monitoring AI applications.
Plans
Free
Free
- AI application evaluations
- AI application tracing
- AI application scorers
- AI model experiment tracking
- AI assets registry & lineage tracking
- Community Support
Pro
- Starts at $60/month, billed monthly
- Unlimited teams for collaboration
- Team-based access controls
- Service Accounts
- Priority email & chat support
- CI/CD automations
- Slack and email alerts
Enterprise
Price on request
- Single tenant option with choice of region
- HIPAA compliant option
- Secure private connectivity
- Customer-managed encryption key
- Single Sign On
- Automated user provisioning
Personal
Free
- 1 user seat
- Experiment tracking
- Registry & lineage tracking
- Run a W&B server locally on any machine with Docker and Python installed
- For personal projects only. Corporate use is not allowed.
Advanced Enterprise
Price on request
- Flexible deployment options
- HIPAA compliant option
- Secure private connectivity
- Customer-managed encryption key
- Single Sign On
- Automated user provisioning
Free forever for academic research
Free
- All the product features included on Pro
- Unlimited tracked hours
- 200GB of cloud storage
- Up to 25GB/mo of Weave data ingestion
- Up to 100 seats
- Additional cloud storage can be purchased for $0.03 per GB, billed monthly
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Command line — “You can then use the command line to start the server.” source
- Self-hosted — “Self-hosting allows you to run Weights & Biases on your own infrastructure, giving you full control over your data and privacy.” source
- API — “Each inference API has different costs for input and output tokens.” source
- Official SDKs — “Core | Reports | Automations | SDK” source
- Runs models for you — “Inference Access and explore hosted AI models” source
- Builds agents and workflows — “W&B Weave: Build agentic AI applications” source
- Traces and evaluates — “Monitor and analyze the performance of your GenAI models during development and in production, capturing inputs, outputs, and metadata for each inference.” source
Security
- SOC 2 Type II — “We are certified under ISO/IEC 27001:2022, ISO/IEC 27017:2015, and ISO/IEC 27018:2019, and remain compliant with SOC 2 Type 2 and HIPAA standards.” source
- SOC 2 — “We are certified under ISO/IEC 27001:2022, ISO/IEC 27017:2015, and ISO/IEC 27018:2019, and remain compliant with SOC 2 Type 2 and HIPAA standards.” source
- ISO 27001 — “We are certified under ISO/IEC 27001:2022, ISO/IEC 27017:2015, and ISO/IEC 27018:2019, and remain compliant with SOC 2 Type 2 and HIPAA standards.” source
- HIPAA — “We are certified under ISO/IEC 27001:2022, ISO/IEC 27017:2015, and ISO/IEC 27018:2019, and remain compliant with SOC 2 Type 2 and HIPAA standards.” source