Comparison

Weights & Biases vs ZenML

On the evidence we track, Weights & Biases leads this comparison with a composite score of 67/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Weights & Biases67
ZenML56
Score
Vioscale score
Weights & Biases67 / 100low · 38%
ZenML56 / 100medium · 58%
Pricing
Free tier
Weights & Biases
ZenML
Model
Weights & Biasescommercial
Price level
Weights & Biases
ZenMLfree
Transparent
Weights & Biases
ZenML
Integrations
Count
Weights & Biases8
ZenML6
Security
Disclosure policy
Weights & Biases
ZenML
Gdpr
Weights & Biases
ZenML
Hipaa
Weights & Biases
ZenML
Iso27001
Weights & Biases
ZenML
Scorecard
Weights & Biases
ZenML6.8
Soc2
Weights & Biases
ZenML
Reliability
Status page
Weights & Biases
ZenML
Adoption
Dependent repos
Weights & Biases9,299
ZenML44
Github stars
Weights & Biases11,240
ZenML5,564
Activity
Commits last 30d
Weights & Biases100
ZenML23
Release
Cadence days
Weights & Biases16
ZenML14
History
Weights & Biases20 items
License
Spdx
Weights & BiasesMIT
Language
Primary
Weights & BiasesPython
ZenMLPython

Capabilities

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

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

What each one is

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

Weights & Biases

Leader

An integrated platform for developing AI applications, from training and fine-tuning models to deploying agents in production, with comprehensive experiment tracking, model management, and LLM application monitoring.

Independently observed

ZenML

An MLOps framework that provides reproducible machine learning pipelines with automatic logging, versioning, and observability. Includes agent runtime capabilities (Kitaru) for building replayable agent workflows, deployable on your existing infrastructure without vendor lock-in.

Independently observed

Pricing

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

Weights & Biases

Leader

Pricing not documented yet.

ZenML

Open sourceFree tier

Free open-source tier. Paid ZenML Pro tier (details require account login)

  • Open SourceFree
    • Unlimited pipeline executions
    • Full orchestration capabilities
    • Automatic logging and versioning
    • No vendor lock-in
  • ProPricing not publicly available
    • Managed cloud hosting
    • Unified dashboard and observability
    • Advanced security controls
    • Enterprise integrations
as of verify ↗

Platform & deployment

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

Platforms
Web
Weights & Biases
ZenML
iOS
Weights & Biases
ZenML
CLI
Weights & Biases
ZenML
Deployment
Cloud / SaaS
Weights & Biases
ZenML
Self-hosted
Weights & Biases
ZenML
On-premise
Weights & Biases
ZenML
Hybrid
Weights & Biases
ZenML

Integrations

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

Weights & Biases

Leader
8 total
  • OpenAI
  • Alibaba Qwen
  • Meta Llama
  • Microsoft Phi
  • Hangzhou DeepSeek
  • Z.ai GLM
  • MoonshotAI Kimi
  • CoreWeave
Independently observed

ZenML

6 total
  • Git
  • GitHub
  • GitLab
  • Kubernetes
  • Docker
  • Poetry
Independently observed

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