Machine Learning · head to head
H2O.ai vs Helicone

H2O.ai
Machine Learning
AI Cloud for building and deploying AI applications
- 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: H2O.ai java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported; 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: H2O.ai covers AutoML, Helicone covers Request dashboard and tracking.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which H2O.ai and Helicone actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 H2O.ai
- AutoML
- Distributed computing
- Feature engineering
- Model explainability
- Time series forecasting
- Spark
- Hadoop
- Python
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.
H2O.ai
- Distributed in-memory machine learning over large datasetsnot Helicone
- Training and productionising models from R or Python against a shared H2O clusternot Helicone
Helicone
- Monitoring cost and latency of production LLM applicationsnot H2O.ai
- Debugging multi-step agent sessionsnot H2O.ai
- Managing and iterating on prompts across a teamnot H2O.ai
- Routing requests across multiple LLM providersnot H2O.ai
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
H2O.ai
- Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
- H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
- Supported Python versions are limited to 3.7 through 3.11
- The Flow web UI requires an internet browser and is the only graphical interface
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
H2O.ai
Free- H2O-3 Open SourceFree
- Core algorithms
- AutoML
- Community support
- Driverless AIFree
- Automatic feature engineering
- Model explainability
- Enterprise support
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 H2O.ai if
- You need automl.
- You want to start without paying.
- You work on Web, Cloud.
- You also want distributed computing.
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 H2O.ai or Helicone better?
- Neither clearly leads. H2O.ai 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, H2O.ai or Helicone?
- H2O.ai starts at Free and Helicone at Free.
- Does H2O.ai or Helicone run on more platforms?
- H2O.ai runs on Web, Cloud. Helicone runs on web, api.
- Can I use H2O.ai for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is H2O.ai best used for?
- H2O.ai is most often used for distributed in-memory machine learning over large datasets, training and productionising models from r or python against a shared h2o cluster. Of those, distributed in-memory machine learning over large datasets and training and productionising models from r or python against a shared h2o cluster are not what Helicone is typically brought in for.
- What can H2O.ai do that Helicone cannot?
- H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability. Helicone covers Request dashboard and tracking, Sessions and segments, Helicone Query Language (HQL), Prompt datasets and improvement.
Answered from the vendors’ own pages
H2O.ai: Is H2O open source and free?
Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.
SourceHelicone: 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.
SourceH2O.ai: How many companies use H2O's open source platform?
Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.
SourceHelicone: 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.
SourceHelicone: 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 Google Vertex AI
- Helicone vs Azure Machine Learning
- Helicone vs RapidMiner
- Helicone vs Snowflake
- Helicone vs Palantir Foundry
- Helicone vs Domino Data Lab
- Helicone vs Cohere
- Helicone vs Ray
- Helicone vs ClearML
- Helicone vs Dask
- Helicone vs Fal AI
- Helicone vs Groq
- Helicone vs Haystack
- 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
