Machine Learning · head to head
ClearML vs Helicone

ClearML
Machine Learning
Open-source MLOps platform for experiment tracking and orchestration
- From
- Free
- Rated
- -
Helicone
AI
Open-source LLM observability and gateway platform for AI applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ClearML broad scope means more to learn and more to run than a focused tracking tool; Helicone the free Hobby plan is capped at 10,000 requests per month, which teams with production traffic can exceed quickly.
- They diverge on capability: ClearML covers Experiment tracking, Helicone covers Request dashboard and tracking.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which ClearML and Helicone 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 ClearML
- Experiment tracking
- Remote execution
- Data versioning
- Pipelines
Only in Helicone
- Request dashboard and tracking
- Sessions and segments
- Helicone Query Language (HQL)
- Prompt datasets and improvement
- Playground
- Rate limits and alerts
What people use each for
The jobs each tool is most often brought in to do.
ClearML
- Tracking experiments across a team so results are reproduciblenot Helicone
- Moving training from laptops to shared GPU hardware without repackagingnot Helicone
- Versioning datasets alongside the experiments that consumed themnot Helicone
Helicone
- Monitoring cost and latency of production LLM applicationsnot ClearML
- Debugging multi-step agent sessionsnot ClearML
- Managing and iterating on prompts across a teamnot ClearML
- Routing requests across multiple LLM providersnot ClearML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClearML
- Broad scope means more to learn and more to run than a focused tracking tool
- Self-hosting the server is real infrastructure — database, file storage and web server
- Documentation quality is uneven across the newer parts of the platform
- Smaller community than the most popular tracking tools, so fewer worked examples exist
Helicone
- The free Hobby plan is capped at 10,000 requests per month, which teams with production traffic can exceed quickly.
- Advanced compliance features like SOC 2 and HIPAA are only available starting at the $799/month Team plan.
- Usage beyond the free tier is billed on top of the base subscription, adding cost unpredictability at scale.
- On-premises deployment is restricted to the custom Enterprise tier.
Pricing, plan by plan
ClearML
Free- Open sourceFree
- Experiment tracking
- Pipelines
- Self-hosted server
Helicone
Free- HobbyFree
- 10,000 free requests
- 1 GB storage
- 1 seat
- Pro$79/month
- 10K free requests included, usage-based beyond
- 7-day free trial
- Unlimited playgrounds and workspaces
- Team$799/month
- 5 organizations
- SOC 2 and HIPAA compliance
- Dedicated Slack channel access
- Enterprise$undefined/mo
- Custom MSAs and SAML SSO
- On-premises deployment
- Bulk cloud discounts
Which should you pick?
Choose ClearML if
- You need experiment tracking.
- You want to start without paying.
- You work on Linux, macOS, Windows, Docker, Kubernetes.
- You also want remote execution.
Choose Helicone if
- You need request dashboard and tracking.
- You want to start without paying.
- You work on web, api.
- You also want sessions and segments.
Questions people ask
- Is ClearML or Helicone better?
- Neither clearly leads. ClearML starts at Free and Helicone at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClearML or Helicone?
- ClearML starts at Free and Helicone at Free.
- Does ClearML or Helicone run on more platforms?
- ClearML runs on Linux, macOS, Windows, Docker, Kubernetes. Helicone runs on web, api.
- Can I use ClearML for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClearML best used for?
- ClearML is most often used for tracking experiments across a team so results are reproducible, moving training from laptops to shared gpu hardware without repackaging, versioning datasets alongside the experiments that consumed them. Of those, tracking experiments across a team so results are reproducible and moving training from laptops to shared gpu hardware without repackaging are not what Helicone is typically brought in for.
- What can ClearML do that Helicone cannot?
- ClearML covers Experiment tracking, Remote execution, Data versioning, Pipelines. Helicone covers Request dashboard and tracking, Sessions and segments, Helicone Query Language (HQL), Prompt datasets and improvement.
Answered from the vendors’ own pages
ClearML: Is ClearML free?
The open-source version is free and self-hostable. Hosted and enterprise tiers are paid.
Helicone: What does Helicone cost?
Helicone offers a free Hobby plan, a Pro plan at $79/month, a Team plan at $799/month, and custom Enterprise pricing, with usage-based charges applying beyond included request limits.
SourceClearML: How much code does tracking require?
Very little — adding a couple of lines to an existing training script captures parameters, metrics and environment automatically.
Helicone: Is there a free plan, and what are its limits?
The free Hobby plan includes 10,000 requests per month, 1 GB of storage, 1 seat, and 1 organization, aimed at kickstarting AI projects.
SourceClearML: Does ClearML replace MLflow?
It covers MLflow’s tracking and adds orchestration, remote execution and data versioning. Whether that breadth is an advantage or extra weight depends on whether you need the rest.
Helicone: Are there discounts available?
Helicone offers 50% off the first year for qualifying startups, discounts for non-profits, a $100 annual credit for open-source projects, and free access for students.
SourceRelated pages
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- Helicone vs Neptune.ai
- Helicone vs Dataiku
- Helicone vs Pachyderm
- Helicone vs Azure Machine Learning
- Helicone vs Domino Data Lab
- Helicone vs DVC
- Helicone vs AWS SageMaker
- Helicone vs Google Vertex AI
- Helicone vs DataRobot
- Helicone vs Pinecone
- Helicone vs Python
- Helicone vs PyTorch
- Helicone vs scikit-learn
- Helicone vs Apache Spark MLlib
- Helicone vs Weaviate
- Helicone vs PromptLayer
- Helicone vs Arize AI
- Helicone vs Galileo
- Helicone vs Together AI
- Helicone vs Stable Diffusion
- Helicone vs AutoGen
- Helicone vs LangGraph
- Helicone vs Aider
- Helicone vs Sourcegraph Cody
- Helicone vs Tabnine
- Helicone vs Amazon Q Developer
- Helicone vs Replicate
- Helicone vs Gumloop
- Helicone vs Inflection AI
- Helicone vs LatchBio
- Helicone vs LOVO
- Helicone vs Manus
- Helicone vs Modal
