vioscaleAI
Comparison

LangSmith vs MLflow

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.

LangSmith full profile →MLflow full profile →
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LangSmith52
★MLflow70
Score
vioscaleAI score
LangSmith52 / 100low · 12%
MLflow70 / 100medium · 67%
Pricing
Free tier
LangSmith–
MLflow✓
Model
LangSmith–
MLflowopen_source
Price level
LangSmith–
MLflowfree
Transparent
LangSmith–
MLflow✓
Integrations
Count
LangSmith–
MLflow9
Security
Scorecard
LangSmith–
MLflow5.4
Trust center
Vulnerabilities
Reliability
Status page
LangSmith✓
MLflow–
Adoption
Dependent repos
LangSmith–
MLflow5,089
Github stars
LangSmith–
MLflow28,260
Package downloads weekly
LangSmith–
MLflow9,993,245
Activity
Commits last 30d
LangSmith–
MLflow100
Release
Cadence days
LangSmith–
MLflow9
History
LangSmith–
MLflow20 items
License
Spdx
LangSmith–
MLflowApache-2.0
Language
Primary
LangSmith–
MLflowPython
Market
Availability
Content
Faq
LangSmith4 items
MLflow6 items

Capabilities

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

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

What each one is

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

LangSmith

LangSmith enables users to observe, evaluate, and deploy AI agents through a web interface that requires no coding. The platform provides tools for agent engineering and monitoring.

Independently observed

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

Pricing

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

LangSmith

Pricing not documented yet.

MLflow

Leader
Open source
as of verify ↗

Platform & deployment

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

Platforms
Web
LangSmith✓
MLflow✓
CLI
LangSmith✗
MLflow✓
Deployment
Cloud / SaaS
LangSmith✓
MLflow✓
Self-hosted
LangSmith✗
MLflow✓
On-premise
LangSmith✗
MLflow✓

Integrations

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

LangSmith

Not documented yet.

MLflow

Leader
32 total
  • Databricks
  • AWS S3
  • Google Cloud Storage
  • Azure Storage
  • AzureML
  • Kubernetes
  • LangChain
  • Pydantic AI
  • Anthropic Claude
  • OpenAI
  • Google Gemini
  • SAP AI Core
  • JFrog
  • Aliyun
  • PostgreSQL
  • MySQL
  • MSSQL
  • Claude Code
  • OpenAI Codex
  • Gemini
  • Anthropic
  • Ollama
  • OpenClaw
  • Qwen Code
  • +8 more
Independently observed
Still deciding?

LangSmith or MLflow: 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.