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Anaconda Notebooks vs H2O Driverless AI

Anaconda Notebooks

anaconda.com

H2O Driverless AI

h2o.ai

Side by side

FigureAnaconda NotebooksH2O Driverless AI
Price from$15/mo—
Free planYes—
Free trial—Yes
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published81
Spec score · Data Science and Machine Learning Platforms8.4 (#4)7.8 (#8)
Data connectorsData Connectors let users save CSV files on Anaconda Cloud for access from Excel or a notebook.Documented data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table.
Founded20122012
HeadquartersAustin, Texas, USAMountain View, California, United States

Plans

Anaconda Notebooks

  • FreeFree
  • Starter$15 a month
  • Business$50 a month
  • CustomPrice not published
  • Anaconda Core FreeFree
  • Anaconda Core Starter$15 a month
  • Anaconda Core Business$50 a month
  • Anaconda Core CustomPriced on request

Anaconda Notebooks pricing →

H2O Driverless AI

  • H2O Driverless AIPriced on request

H2O Driverless AI pricing →

In their own words

Anaconda Notebooks

Anaconda Notebooks puts JupyterLab in a cloud environment for writing, editing, and running Python code through an Anaconda Cloud account. Users can start data science and AI projects in a browser with packages and computing resources supplied by the service, without installing Python locally. Two preconfigured environments are available: one with the latest Anaconda Distribution packages and another with packages selected for AI workflows. Notebooks can be shared by URL so others can open a copy, work with it through an Anaconda account, or download it. Outputs can be deployed as web applications using Panel. Anaconda Assistant for Python can analyze tables and suggest ways to work with data, while Data Connectors let users save CSV files on Anaconda Cloud for Excel or notebook access. The Free plan costs nothing and includes 5 GB cloud storage. Starter costs $15 a month, billed monthly, with 10 GB storage per user. Organizations may block notebook sharing, resulting in a 403 error when a user tries to share.

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H2O Driverless AI

H2O Driverless AI automates machine-learning work from feature engineering and model building through validation, tuning, selection, visualization, interpretability, and scoring-pipeline generation. It explains model output at both global and individual-prediction levels. Models can be deployed as REST endpoints, cloud services, or optimized Java code for edge devices. Supported hardware includes NVIDIA GPUs, IBM Power 9, and Intel x86 CPUs; GPU-accelerated algorithms include XGBoost, TensorFlow, and LightGBM. Documented integrations include Kubernetes, Kubeflow, SageMaker, Alteryx, Jupyter/Python, KDB, Qlik, Trifacta, and UiPath. Data sources include HDFS, Amazon S3, Azure Blob Storage, Google BigQuery, Google Cloud Storage, Snowflake, JDBC, Databricks, and Delta Table. Cloud installation options are H2O AI Cloud, AWS, Azure, and Google Cloud. H2O offers a 21-day public-cloud evaluation license and a guided two-hour cloud test drive. Commercial licensing requires contacting sales; no price is listed. The default installation disables security, so production use calls for secure installation.

Visit h2o.ai