Machine Learning · head to head
Comet ML vs LangGraph
Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; LangGraph steeper learning curve compared to high-level abstractions
- They diverge on capability: Comet ML covers Experiment tracking, LangGraph covers Human-in-the-loop controls.
Where they differ
Only the attributes on which Comet ML and LangGraph 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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in LangGraph
- Human-in-the-loop controls
- Customizable workflows
- Memory management
- Token-by-token streaming
- Low-level control
- Multi-agent support
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- LLM observability and monitoringnot LangGraph
- AI agent testing and debuggingnot LangGraph
- Experiment tracking for machine learningnot LangGraph
- Model registry and version managementnot LangGraph
- ML model training monitoringnot LangGraph
LangGraph
- Building production AI agents with auditable workflowsnot Comet ML
- Designing multi-agent systems for complex tasksnot Comet ML
- Implementing human oversight in autonomous systemsnot Comet ML
- Creating reliable agentic applications at scalenot Comet ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Comet ML
- The free cloud tier caps data at 25,000 spans a month with 60 day retention
- Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
- Overage on Pro is $5 per additional 100,000 spans
- The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
- Pro MLOps is $19 per user per month and caps the team at 10 users
LangGraph
- Steeper learning curve compared to high-level abstractions
- Requires understanding of graph-based architecture
- Debugging complex workflows can be challenging
- Not optimized for simple, one-off use cases
Pricing, plan by plan
Comet ML
Free- Free CloudFree
- Up to 10 team members
- 25,000 spans per month
- 60-day data retention
- Pro Cloud$19/month
- Up to 50 team members
- 100,000 spans per month
- 60-day data retention
- MLOps FreeFree
- 1 user with fair usage policy
- Experiment tracking
- Dataset management
- MLOps Pro$19/user/month
- Up to 10 users
- 1,500 training hours included
- 500GB storage included
LangGraph
Free- Open SourceFree
- MIT-licensed framework
- Self-hosted deployment
- Full API access
- LangGraph Platform$35/month
- Managed hosting
- Enterprise deployment
- Integrated tooling
Which should you pick?
Choose Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, Mac, Windows.
- You also want code versioning.
Choose LangGraph if
- You need human-in-the-loop controls.
- You want to start without paying.
- You work on Python, JavaScript, Web.
- You also want customizable workflows.
Questions people ask
- Is Comet ML or LangGraph better?
- Neither clearly leads. Comet ML starts at Free and LangGraph at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or LangGraph?
- Comet ML starts at Free and LangGraph at Free.
- Does Comet ML or LangGraph run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. LangGraph runs on Python, JavaScript, Web.
- Can I use Comet ML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Comet ML best used for?
- Comet ML is most often used for llm observability and monitoring, ai agent testing and debugging, experiment tracking for machine learning, model registry and version management. Of those, llm observability and monitoring and ai agent testing and debugging are not what LangGraph is typically brought in for.
- What can Comet ML do that LangGraph cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. LangGraph covers Human-in-the-loop controls, Customizable workflows, Memory management, Token-by-token streaming.
Answered from the vendors’ own pages
Comet ML: Does Comet.ml offer a free plan?
Yes, Comet.ml offers free tiers for both Opik (cloud observability) and MLOps platforms. Free Cloud Opik includes up to 10 team members and 25,000 spans/month. Free MLOps tier is limited to 1 user.
SourceLangGraph: Is LangGraph free to use?
Yes. The core LangGraph framework is MIT-licensed and completely free. You only pay if you use the optional managed LangGraph Platform for hosting.
SourceComet ML: How many team members can use the free Comet.ml tier?
Free Cloud supports up to 10 team members. The Pro Cloud plan supports up to 50 team members at $19/month.
SourceLangGraph: What programming languages does LangGraph support?
LangGraph provides first-class support for Python and JavaScript, enabling cross-platform agent development.
SourceComet ML: What is a span in Comet.ml pricing?
A span represents a single tracked operation such as model requests or function calls. Free Cloud tier includes 25,000 spans per month.
SourceLangGraph: Can I deploy LangGraph in production?
Yes. LangGraph can be self-hosted on your own infrastructure or deployed through LangGraph Platform with enterprise support and SLA guarantees.
SourceComet ML: Does Comet.ml offer academic pricing?
Yes, a free Pro plan is available for academic users; verification is required via signup.
SourceRelated pages
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- LangGraph vs Azure Machine Learning
- LangGraph vs DataRobot
- LangGraph vs MLflow
- LangGraph vs Snowflake
- LangGraph vs TensorFlow
- LangGraph vs Jupyter
- LangGraph vs LangChain
- LangGraph vs Pinecone
- LangGraph vs Python
- LangGraph vs PyTorch
- LangGraph vs scikit-learn
- LangGraph vs Apache Spark MLlib
- LangGraph vs Weaviate
- LangGraph vs Weights & Biases
- LangGraph vs Alteryx
- LangGraph vs Anaconda
- LangGraph vs Pika
- LangGraph vs Anthropic API
- LangGraph vs D-ID
- LangGraph vs Fathom
- LangGraph vs Together AI
- LangGraph vs Stable Diffusion
- LangGraph vs Arize AI
- LangGraph vs ChatGPT
- LangGraph vs Perplexity
- LangGraph vs AutoGen
- LangGraph vs Black Forest Labs
- LangGraph vs Cartesia
- LangGraph vs Deepgram
- LangGraph vs Galileo
- LangGraph vs Helicone
- LangGraph vs Ideogram
- LangGraph vs Jasper
- LangGraph vs Lindy