vioscaleAI
Comparison

DSPy 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.

DSPy full profile →MLflow full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
DSPy54
★MLflow70
Score
vioscaleAI score
DSPy54 / 100medium · 58%
MLflow70 / 100medium · 67%
Pricing
Free tier
DSPy✓
MLflow✓
Model
Price level
DSPyfree
MLflowfree
Transparent
DSPy✓
MLflow✓
Integrations
Count
DSPy1
MLflow9
Security
Scorecard
DSPy–
MLflow5.4
Trust center
Vulnerabilities
Reliability
Status page
DSPy✓
MLflow–
Adoption
Dependent repos
DSPy3
MLflow5,089
Github stars
DSPy38,644
MLflow28,260
Package downloads weekly
DSPy93,838
MLflow9,993,245
Activity
Commits last 30d
DSPy67
MLflow100
Release
Cadence days
DSPy17
MLflow9
History
License
Spdx
DSPyMIT
MLflowApache-2.0
Language
Primary
DSPyPython
MLflowPython
Market
Availability
Content
Faq
DSPy6 items
MLflow6 items

Capabilities

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

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

What each one is

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

DSPy

Framework enabling developers to construct AI systems using typed task definitions and modular components, with automatic optimization replacing manual prompt design.

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.

DSPy

Open sourceFree tier
as of verify ↗

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
DSPy✓
MLflow✓
macOS
DSPy✓
MLflow✗
Windows
DSPy✓
MLflow✗
Linux
DSPy✓
MLflow✗
CLI
DSPy✓
MLflow✓
Deployment
Cloud / SaaS
DSPy✗
MLflow✓
Self-hosted
DSPy✓
MLflow✓
On-premise
DSPy✗
MLflow✓

Integrations

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

In common (2)
  • OpenAI
  • Anthropic

DSPy

2 total - 0 not shared
  • OpenAI
  • Anthropic
Independently observed

MLflow

Leader
32 total - 30 not shared
  • Databricks
  • AWS S3
  • Google Cloud Storage
  • Azure Storage
  • AzureML
  • Kubernetes
  • LangChain
  • Pydantic AI
  • Anthropic Claude
  • Google Gemini
  • SAP AI Core
  • JFrog
  • Aliyun
  • PostgreSQL
  • MySQL
  • MSSQL
  • Claude Code
  • OpenAI Codex
  • Gemini
  • Ollama
  • OpenClaw
  • Qwen Code
  • LiteLLM
  • Amazon S3
  • +6 more
Independently observed
Still deciding?

DSPy 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.