Comparison

MLflow vs Weights & Biases

On the evidence we track, MLflow leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★MLflow70
Weights & Biases65
Score
vioscaleAI score
MLflow70 / 100medium · 67%
Weights & Biases65 / 100low · 44%
Pricing
Free tier
MLflow✓
Weights & Biases✓
Model
Weights & Biasesfree
Price level
MLflowfree
Weights & Biasesfree
Transparent
MLflow✓
Weights & Biases✗
Integrations
Count
MLflow9
Weights & Biases9
Security
Disclosure policy
MLflow–
Weights & Biases✓
Gdpr
MLflow–
Weights & Biases✓
Hipaa
MLflow–
Weights & Biases✓
Iso27001
MLflow–
Weights & Biases✓
Scorecard
MLflow5.4
Weights & Biases–
Soc2
MLflow–
Weights & Biases✓
Reliability
Status page
MLflow–
Weights & Biases✓
Adoption
Dependent repos
MLflow5,089
Weights & Biases9,299
Github stars
MLflow28,260
Weights & Biases11,268
Package downloads weekly
MLflow9,993,245
Weights & Biases–
Activity
Commits last 30d
MLflow100
Weights & Biases100
Release
Cadence days
MLflow9
Weights & Biases16
History
MLflow20 items
Weights & Biases20 items
License
Spdx
Weights & BiasesMIT
Language
Primary
MLflowPython
Weights & BiasesPython
Content
Faq
MLflow6 items
Weights & Biases6 items

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
MLflowEnd-to-end ML platform
Weights & BiasesEnd-to-end ML platform
Deployment
Self-hostable / OSS core
MLflow✓
Weights & Biases✓
Managed cloud available
MLflow✓
Weights & Biases✓
On-prem / VPC deployment
MLflow✓
Weights & Biases✓
Observability
LLM tracing / observability
MLflow✓
Weights & Biases✓
Evaluation (offline / LLM-judge / human)
MLflow✓
Weights & Biases✓
Dev
Prompt management + versioning
MLflow✓
Weights & Biases✓
Tracking
Experiment tracking / model registry
MLflow✓
Weights & Biases✓
Serving
Model serving / inference endpoint
MLflow✓
Weights & Biases✓
Interop
OpenTelemetry / OpenLLMetry compatible
MLflow✓
Weights & Biases-
Framework-agnostic
MLflow✓
Weights & Biases✓
Gateway
Multi-provider model support
MLflow✓
Weights & Biases✓
Data
No-train-on-customer-data guarantee
MLflow-
Weights & Biases-

What each one is

The product in its own terms, so the numbers below have context.

MLflow

Leader

A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls.

Independently observed

Weights & Biases

A collaborative development platform that enables tracking of ML experiments, versioning of models, evaluation of AI systems, and deployment to production. It provides specialized observability and tracing capabilities for LLM applications, with support for both managed cloud and self-hosted infrastructure.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

MLflow

Leader
Open source
as of verify ↗

Weights & Biases

FreeFree tier
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
MLflow✓
Weights & Biases✓
iOS
MLflow✗
Weights & Biases✓
CLI
MLflow✓
Weights & Biases✓
Deployment
Cloud / SaaS
MLflow✓
Weights & Biases✓
Self-hosted
MLflow✓
Weights & Biases✓
On-premise
MLflow✓
Weights & Biases✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (3)
  • LangChain
  • OpenAI
  • Claude Code

MLflow

Leader
32 total - 29 not shared
  • Databricks
  • AWS S3
  • Google Cloud Storage
  • Azure Storage
  • AzureML
  • Kubernetes
  • Pydantic AI
  • Anthropic Claude
  • Google Gemini
  • SAP AI Core
  • JFrog
  • Aliyun
  • PostgreSQL
  • MySQL
  • MSSQL
  • OpenAI Codex
  • Gemini
  • Anthropic
  • Ollama
  • OpenClaw
  • Qwen Code
  • LiteLLM
  • Amazon S3
  • OpenTelemetry/OTLP
  • +5 more
Independently observed

Weights & Biases

16 total - 13 not shared
  • Alibaba Qwen
  • Meta Llama
  • Microsoft Phi
  • Hangzhou DeepSeek
  • Z.ai GLM
  • MoonshotAI Kimi
  • CoreWeave
  • TensorBoard
  • AWS Bedrock
  • Google Agent Development Kit
  • SambaNova Cloud
  • Friendli
  • deepset
Independently observed
Still deciding?

MLflow or Weights & Biases: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.