Does open-source H2O-3 include AutoDoc?

No. AutoDoc ships with H2O-3 Secure and with Driverless AI. It is the main reason teams move from open-source H2O-3 to Secure when a model reaches model risk review.

Do I need to change my code to move to H2O-3 Secure?

No. H2O-3 Secure runs the same algorithms and APIs as open source in Python, R, Java, and Scala. Existing scripts, AutoML runs, and Sparkling Water jobs run unchanged.

What is moving from open-source H2O-3 to H2O-3 Secure?

Starting with release 3.46.0.12, the MOJO runtime, Hadoop, Kubernetes deployment, and Sparkling Water leave the open-source distribution and move to H2O-3 Secure, where they remain fully supported.

Does H2O-3 collect telemetry?

Only if you opt in. Telemetry is off by default and respects DO_NOT_TRACK=1. The full list of what is and is not collected is in the repo README.

Is H2O-3 Secure FedRAMP certified?

H2O-3 Secure ships controls aligned to the FedRAMP High baseline. The FedRAMP Certified offering is H2O AI Cloud for Government, at Class D (High). Alignment is not certification.

H2O-3

The open-source distributed ML and AutoML engine that 20,000+ organizations and 2M+ data scientists run. Available in two offerings: free and open source under the Apache 2.0 license, or H2O-3 Secure, the same code with enterprise controls, AutoDoc, and support to run it in production.

Request a demo Documentation

The record

20,000+organizations on H2O open source

2M+data scientists in the community

2017H2O-3 AutoML shipped

Apache 2.0the license of the open-source core

Key takeaways

H2O-3 Secure is the same code and APIs as open-source H2O-3, plus enterprise packages, MOJO scoring, AutoDoc, SSO/RBAC, controls aligned to the FedRAMP High baseline, CVE patching, and SLAs.
Open-source H2O-3 is Apache 2.0 and used by 20,000+ organizations and 2M+ data scientists; it does not include AutoDoc.
AutoDoc is the upgrade lever from open source to Secure: the documentation model risk asks for, generated with the model.
Nothing you built on H2O-3 changes; Secure adds controls around it.

Two offerings

One engine, two ways to run it.

Choose the offering that meets your needs. One codebase, different ways to deploy.

Open source

H2O-3Designed for data scientists and experimentation.Get it on GitHub

EnterpriseRecommended

H2O-3 SecureDesigned for the exacting requirements of commercial use.

Request a demo

Open source ML

Machine learning for everyone.

PythonWorks with pandas, scikit-learn, and Jupyter. Install with pip install h2o.
RWorks with the R ecosystem you know. Install with install.packages("h2o").
Java / ScalaRun H2O directly on the JVM and integrate into existing JVM applications.
H2O FlowA browser-based notebook UI that runs on top of H2O-3. No coding required.

Quick start

Train your first AutoML model in minutes.

Follow these simple steps to install H2O-3 and train your first model.

01Install H2O-3
Bash / ShellDownload
```
pip install h2o
```

02Train your first AutoML model

Python

import h2o
from h2o.automl import H2OAutoML

h2o.init()
data = h2o.import_file("your_data.csv")
aml = H2OAutoML(max_runtime_secs=60, seed=1)
aml.train(y="target_column", training_frame=data)
print(aml.leaderboard)

Why update to H2O-3 Secure

What Secure adds to open source.

H2O-3 open source is for experimentation and research. H2O-3 Secure is the same engine with the packaging an enterprise needs to bet production on it.

Hardened and patchedControls aligned to the FedRAMP High baseline, CVE patching on a committed cadence, and security bulletins you can hand to your CISO.
SSO and RBACEnterprise identity, role-based access, and an audit of who ran what. The controls open-source H2O-3 does not ship.
AutoDocModel documentation for H2O-3 models, generated with the model, in the format a reviewer asks for. The upgrade lever from OSS.
MOJO everywhereScore H2O-3 models inside Hadoop, Spark, Teradata, and Oracle without moving data, on the same MOJO runtime as H2O Driverless AI, our AutoML.
Support with SLAsEnterprise support from the engineers who build H2O-3, with response-time commitments and security bulletins.
Zero code changeDistributed ML and AutoML on Hadoop, Spark, and Kubernetes, in Python, R, Java, and Scala. Every notebook you wrote still runs.

Compare

H2O-3 OSS vs H2O-3 Secure

FeatureH2O-3 OSSH2O-3 Secure

Included in both

All H2O-3 algorithms

H2O AutoML

Multi-node distributed model training

Model scoring

PyPi and R-CRAN packages

Community support

Secure only

Early access to latest algorithms and improvements

Hadoop and Kubernetes enterprise packages

Production MOJO scoring for Hadoop, Spark, Teradata, Oracle

Managed distributed XGBoost service

Model reproducibility

AutoDoc automated model documentation

Enterprise SSO and secrets management

RBAC and audit capabilities

Controls aligned to the FedRAMP High baseline

Premium support with SLAs

Commercial CVE patching

Controls aligned to the FedRAMP High baseline. Alignment is not certification; the FedRAMP Certified offering is H2O AI Cloud for Government.

How you use it

From notebook to production without a rewrite.

01Keep the codeYour H2O-3 scripts, AutoML runs, and Sparkling Water jobs run unchanged, exactly as they do today.
02Add the controlsSwitch on SSO, RBAC, and the hardened packages, and enrol in CVE patching on a committed cadence.
03Document and scoreAutoDoc for the reviewer. MOJO into the database or Spark cluster where the data already lives.
04Run it with supportSLAs, security bulletins, and H2O AI support engineers on call from the team that builds H2O-3.

Where it fits

A training engine in the predictive lane, and the open-source root of the platform.

H2O-3 sits beside Driverless AI as a training engine, and the Data Science Agent runs it in Notebook Labs. Highlighted is H2O-3.

Details

What ships today

AlgorithmsGLM, GBM, XGBoost, Random Forest, Deep Learning, Stacked Ensembles, K-Means, PCA, Isolation Forest, Word2Vec, and more

AutoMLH2O AutoML: automatic training and tuning with a leaderboard

PlatformsHadoop, Spark (Sparkling Water), Kubernetes, standalone

LanguagesPython, R, Java, Scala; REST API; Flow web UI

ScoringMOJO and POJO export; MOJO runtime for Hadoop, Spark, Teradata, Oracle

Secure addsEnterprise packages, AutoDoc, SSO/RBAC, controls aligned to the FedRAMP High baseline, CVE patching, SLAs

LicenseOSS core: Apache 2.0. Secure: commercial subscription

Run it anywhere

You operate it, or H2O AI operates it for you.

Same platform either way: the same capabilities, the same governance, and the same audit trail. The choice stays open, so you can switch between them as the business changes, without rebuilding what runs on top.

We run itH2O AI Managed Cloud (HAMC)A dedicated, single-tenant cloud that H2O AI provisions, operates, and secures, across fault-tolerant availability zones in the region you choose. Your data never leaves it. Zero-trust access, encrypted in transit and at rest, constantly monitored.AWSAzureGoogle CloudSOC 2 Type 2 · HIPAA / HITECHLearn more You run itH2O AI Hybrid Cloud (HAHC)The full H2O Sovereign AI Platform, entirely within your control, on your own infrastructure or fully air-gapped. You own the environment, the updates, and the compliance posture. Installed and upgraded with Terraform, Helm, or Replicated.Your cloud accountYour data centerAir-gappedLearn more

H2O AI Cloud for Government

The H2O AI Cloud for Government has achieved FedRAMP High Certification, delivering the highest standard of cloud security so federal agencies can harness predictive and generative AI without compromising data sovereignty or compliance.

Learn more View on marketplace

Case studies

H2O-3 in production

InsuranceZurich InsuranceZurich Insurance uses H2O-3 to power advanced analytics and risk management on an open platform, free of single-provider lock-in.Read the case study

An open office with people at work in natural light

Financial ServicesWells FargoHow Wells Fargo builds a world class data science team and keeps machine learning interpretable in a heavily regulated industry.Read the case study

Operations team at their screens in an open office

Financial ServicesUnderwrite.aiUnderwrite.ai uses H2O.ai to automate credit decisioning and adverse action reporting for lenders with fully explainable, regulator-compliant results.Read the case study

Works with

Videos

Watch H2O-3 in action

VideoExplaining Models built in H2O-3Watch

VideoH2O-3 Open Source, Distributed Machine Learning for Everyone at H2O World Sydney 2022Watch

VideoIntro to AutoML + Hands-on Lab - Erin LeDell, Machine Learning Scientist, H2O.aiWatch

FAQ

Questions people ask before they call us.

H2O-3 is the open-source distributed ML and AutoML engine under Apache 2.0. H2O-3 Secure is the same code with enterprise packages, MOJO scoring into Hadoop, Spark, Teradata, and Oracle, AutoDoc, SSO and RBAC, controls aligned to the FedRAMP High baseline, CVE patching, and support with SLAs.

Next step

Get the production controls without touching your H2O-3 code.

We will map your current open-source footprint to H2O-3 Secure, show the security and audit deltas, and price the subscription.

Request a demo Talk to H2O

H2O-3

import h2o from h2o.automl import H2OAutoML h2o.init() data = h2o.import_file("your_data.csv") aml = H2OAutoML(max_runtime_secs=60, seed=1) aml.train(y="target_column", training_frame=data) print(aml.leaderboard)

H2O-3

One engine, two ways to run it.

Machine learning for everyone.

Train your first AutoML model in minutes.

What Secure adds to open source.

H2O-3 OSS vs H2O-3 Secure

From notebook to production without a rewrite.

A training engine in the predictive lane, and the open-source root of the platform.

What ships today

You operate it, or H2O AI operates it for you.

H2O AI Cloud for Government

H2O-3 in production

Related tools.

Watch H2O-3 in action

Questions people ask before they call us.

Get the production controls without touching your H2O-3 code.

H2O-3

One engine, two ways to run it.

Machine learning for everyone.

Train your first AutoML model in minutes.

What Secure adds to open source.

H2O-3 OSS vs H2O-3 Secure

From notebook to production without a rewrite.

A training engine in the predictive lane, and the open-source root of the platform.

What ships today

You operate it, or H2O AI operates it for you.

H2O AI Cloud for Government

H2O-3 in production

Related tools.

Watch H2O-3 in action

Questions people ask before they call us.

Get the production controls without touching your H2O-3 code.