Comparison

MLflow vs ZenML

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
ZenML61
Score
vioscaleAI score
MLflow70 / 100medium · 67%
ZenML61 / 100medium · 52%
Pricing
Free tier
MLflow✓
ZenML✓
Model
Price level
MLflowfree
ZenMLlow
Transparent
MLflow✓
ZenML✗
Integrations
Count
MLflow9
ZenML60
Reliability
Status page
MLflow–
ZenML✓
Adoption
Dependent repos
MLflow5,089
ZenML44
Github stars
MLflow28,260
ZenML5,615
Package downloads weekly
MLflow9,993,245
ZenML–
Activity
Commits last 30d
MLflow100
ZenML41
Release
Cadence days
MLflow9
ZenML15
History
MLflow20 items
License
Spdx
Language
Primary
MLflowPython
ZenMLPython
Market
Availability
Content
Faq
MLflow6 items
ZenML7 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
ZenMLEnd-to-end ML platform
Deployment
Self-hostable / OSS core
MLflow✓
ZenML✓
Managed cloud available
MLflow✓
ZenML✓
On-prem / VPC deployment
MLflow✓
ZenML✓
Observability
LLM tracing / observability
MLflow✓
ZenML✓
Evaluation (offline / LLM-judge / human)
MLflow✓
ZenML✓
Dev
Prompt management + versioning
MLflow✓
ZenML✓
Tracking
Experiment tracking / model registry
MLflow✓
ZenML✓
Serving
Model serving / inference endpoint
MLflow✓
ZenML✓
Interop
OpenTelemetry / OpenLLMetry compatible
MLflow✓
ZenML✓
Framework-agnostic
MLflow✓
ZenML✓
Gateway
Multi-provider model support
MLflow✓
ZenML✓
Data
No-train-on-customer-data guarantee
MLflow-
ZenML-

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

ZenML

ZenML is a Python-based orchestration framework that manages machine learning pipelines and agents across any infrastructure, from local development to production Kubernetes clusters. It provides centralized artifact management, automated tracking and versioning, and enterprise-grade security compliance for reproducible AI systems.

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 ↗

ZenML

HybridFree tier

Free open-source version; managed Pro service available

  • CommunityFree
    • experiment tracking
    • pipeline orchestration
    • artifact storage
    • model versioning
  • ProManaged service pricing not specified
    • managed control plane
    • governance
    • SSO
    • SLA support
    • audit trails
as of verify ↗

Platform & deployment

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

Platforms
Web
MLflow✓
ZenML✗
macOS
MLflow✗
ZenML✓
Windows
MLflow✗
ZenML✓
Linux
MLflow✗
ZenML✓
CLI
MLflow✓
ZenML✓
Deployment
Cloud / SaaS
MLflow✓
ZenML✓
Self-hosted
MLflow✓
ZenML✓
On-premise
MLflow✓
ZenML✗
Hybrid
MLflow✗
ZenML✓

Integrations

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

In common (7)
  • Databricks
  • AzureML
  • Kubernetes
  • OpenAI
  • MySQL
  • Azure ML
  • Docker

MLflow

Leader
32 total - 25 not shared
  • AWS S3
  • Google Cloud Storage
  • Azure Storage
  • LangChain
  • Pydantic AI
  • Anthropic Claude
  • Google Gemini
  • SAP AI Core
  • JFrog
  • Aliyun
  • PostgreSQL
  • MSSQL
  • Claude Code
  • OpenAI Codex
  • Gemini
  • Anthropic
  • Ollama
  • OpenClaw
  • Qwen Code
  • LiteLLM
  • Amazon S3
  • OpenTelemetry/OTLP
  • OpenAI-compatible endpoints
  • OpenTelemetry
  • +1 more
Independently observed

ZenML

26 total - 20 not shared
  • Git
  • GitHub
  • GitLab
  • Poetry
  • Slack
  • ClickUp
  • MLflow
  • Trackio
  • LangGraph
  • PyTorch
  • scikit-learn
  • Hugging Face
  • LlamaIndex
  • PyTorch Lightning
  • Axolotl
  • AWS
  • Google Cloud
  • Azure
  • DigitalOcean
  • Kubeflow
Independently observed
Still deciding?

MLflow or ZenML: 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.