Software Development · head to head
Langfuse vs MLflow
Langfuse
Software Development
Simple pricing for projects of all sizes
- From
- Free
- Rated
- -
MLflow
Machine Learning
Open source platform for managing the ML lifecycle
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Langfuse free Hobby plan limited to 2 users and 30-day data retention; MLflow requires infrastructure setup: teams must manage MLflow tracking server, database, and artifact storage themselves
Where they differ
Only the attributes on which Langfuse and MLflow actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Langfuse
Nothing recorded that MLflow does not also cover.
Only in MLflow
- Experiment tracking
- Model registry
- Model packaging
- Deployment
- Project organization
- TensorFlow
- PyTorch
- scikit-learn
What people use each for
The jobs each tool is most often brought in to do.
Langfuse
No use cases recorded yet. See the Langfuse review.
MLflow
- Machine learningnot Langfuse
- Data analysisnot Langfuse
- Model trainingnot Langfuse
- Predictive analyticsnot Langfuse
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Langfuse
- Free Hobby plan limited to 2 users and 30-day data retention
- Overage pricing applies beyond included units; graduated rates from $8.00 per 100k units down to $6.00 per 100k units at 50M+ volume
MLflow
- Requires infrastructure setup: teams must manage MLflow tracking server, database, and artifact storage themselves
- Basic UI and visualization: lacks rich interactive dashboards and real-time monitoring compared to commercial platforms
- Limited collaboration: no built-in role-based access control or multi-user management features
- Production monitoring gaps: drift detection, explainability, and alerting require separate dedicated tools
Pricing, plan by plan
Langfuse
Free- HobbyFree
- 50k units/month
- 30-day data retention
- 2 users maximum
- Core$29/month
- 100k units/month
- 90-day data retention
- Unlimited users
- Pro$199/month
- 100k units/month
- 3-year data retention
- SOC2 & ISO27001 compliance
- Enterprise$2499/month
- Custom rate limits
- Dedicated support engineer
- SCIM API & audit logs
MLflow
Free- Open SourceFree
- Experiment tracking
- Model registry
- Deployment tools
Which should you pick?
Choose MLflow if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Python API, REST API.
- You also want model registry.
Questions people ask
- Is Langfuse or MLflow better?
- Neither clearly leads. Langfuse starts at Free and MLflow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Langfuse or MLflow?
- Langfuse starts at Free and MLflow at Free.
- Does Langfuse or MLflow run on more platforms?
- Langfuse runs on Web. MLflow runs on Web, Python API, REST API.
- Can I use Langfuse for free?
- Both have a free tier, so you can try either at no cost before committing.
- What can Langfuse do that MLflow cannot?
- MLflow covers Experiment tracking, Model registry, Model packaging, Deployment.
Answered from the vendors’ own pages
Langfuse: What does Langfuse cost?
Langfuse starts at $29/month for the Core plan (100k units/month). Pro costs $199/month with 3-year data retention. Enterprise costs $2499/month for custom rate limits and dedicated support.
SourceMLflow: Is MLflow free to use?
Yes, MLflow is completely open-source and free. However, teams typically incur infrastructure costs for hosting and maintaining the MLflow tracking server. Databricks offers Managed MLflow as a commercial option for cloud deployment.
SourceLangfuse: Does Langfuse have a free plan?
Yes, the Hobby plan is free with 50k units/month, 30-day data retention, and support for up to 2 users.
SourceMLflow: Can MLflow track experiments for different ML frameworks?
Yes, MLflow is framework-agnostic and works with TensorFlow, PyTorch, scikit-learn, XGBoost, and any other ML framework. This flexibility is a core design principle allowing teams to use diverse tools.
SourceLangfuse: What happens if I exceed my unit limits on Langfuse?
Overage pricing applies with graduated rates: $8.00 per 100k units for 100k-1M units, $7.00 per 100k units for 1M-10M units, $6.50 per 100k units for 10M-50M units, and $6.00 per 100k units for 50M+ units.
SourceMLflow: Does MLflow include a model registry?
Yes, MLflow Model Registry (added in 2018) provides a central model store with versioning, stage transitions, and deployment tracking. This enables production model governance and lineage tracking.
SourceLangfuse: Are there discounts available on Langfuse?
Early-stage startups receive 50% off the first year. Research and student accounts qualify for up to 100% off. Non-profits receive $199 monthly credits.
SourceMLflow: What are MLflow's main limitations?
MLflow requires significant infrastructure setup and maintenance. The UI is basic compared to commercial tools, collaboration is limited without third-party RBAC solutions, and production monitoring requires separate tools for drift detection and alerting.
SourceMLflow: Can MLflow handle LLM and agent tracing?
MLflow added LLM and agent tracing capabilities in recent versions, though the native support is limited compared to specialized LLM observability platforms that replaced weak LLM tracing.
SourceRelated pages
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- MLflow vs Cursor
- MLflow vs Windsurf
- MLflow vs Zed
- MLflow vs Amp
- MLflow vs Braintrust
- MLflow vs Codacy
- MLflow vs DeepSource
- MLflow vs Devin
- MLflow vs SonarQube Cloud
- MLflow vs Augment Code
- MLflow vs Baseten
- MLflow vs Drizzle ORM
- MLflow vs Flagsmith
- MLflow vs Unleash
- MLflow vs Bun
- MLflow vs Cline
- MLflow vs Factory
- MLflow vs Humanloop
- MLflow vs AWS SageMaker
- MLflow vs Google Vertex AI
- MLflow vs Azure Machine Learning
- MLflow vs DataRobot
- MLflow vs Snowflake
- MLflow vs TensorFlow
- MLflow vs Comet ML
- MLflow vs Jupyter
- MLflow vs LangChain
- MLflow vs Pinecone
- MLflow vs Python
- MLflow vs PyTorch
- MLflow vs scikit-learn
- MLflow vs Apache Spark MLlib
- MLflow vs Weaviate
- MLflow vs Weights & Biases
- MLflow vs Alteryx
- MLflow vs Anaconda