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SPECIFICTION
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AutoKeras vs Obviously AI

AutoKeras

autokeras.com

Obviously AI

obviously.ai

Side by side

FigureAutoKerasObviously AI
Price fromFreeFree
Free planYesYes
Free trial—Yes
Open sourceYes—
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published24
Spec score · AutoML Software8.9 (#2)8.0 (#10)
SupportThe project directs users to GitHub Discussions to ask questions.The pricing page lists email support for Free and dedicated AI strategist, dedicated data scientist, video call, and chat support for the paid plans.
What it doesAutoKeras is an AutoML library that automates deep-learning model selection and hyperparameter tuning.Obviously AI is a no-code hosted platform for turning historical data into predictive machine-learning models without programming.

Plans

AutoKeras

  • AutoKerasFree
  • Open-source libraryFree

AutoKeras pricing →

Obviously AI

  • FreeFree
  • Enterprise PlanPriced on request
  • SMB PlanPriced on request
  • Startup PlanPriced on request

Obviously AI pricing →

In their own words

AutoKeras

AutoKeras is a free, open-source AutoML system based on Keras, designed to make machine learning accessible through code. It supports image and text classification and regression, as well as classification and regression for structured data. Its documentation also includes a tutorial for multi-task or multimodal datasets. Users can assemble custom models from AutoKeras blocks and let the system search for detailed configurations. Image workflows can set architecture type, normalization and data augmentation, or leave those choices for automatic tuning. The best model found can be exported as a Keras Model. The Python package is installed with pip and supports Linux, macOS and Windows, including self-hosted use. The installation guide supports Python 3 and recommends PyTorch version 2.3.0 or later with the PyTorch backend. By default, the final 20% of training data is used for validation, though users can set a different split or supply validation data. Model selection uses validation loss by default, with support for customized metrics and objectives. The project directs users to GitHub Discussions for questions.

Visit autokeras.com

Obviously AI

Obviously AI is a freemium, web-based no-code tool for turning structured data into predictive models. Listed model uses include classification, regression, and time series prediction. Models can be published as instant web apps with shareable dynamic links, or connected through real-time REST APIs that send predictions to tools such as Power BI and Looker. Automatic model monitoring and Zapier if-this-then-that automations are also described. Integrations include Amazon Redshift, Google BigQuery, Google Drive, HubSpot, Shopify, Snowflake, Tableau, and Zapier. A structured dataset is required; the documentation recommends at least 1,000 rows and 5 columns. CSV is the listed import format, with uploads up to 10 MB. The Free plan costs nothing and includes 1,200 predictions, one user seat, unlimited models, 1M rows of training data, CSV-only data, and limits of 10,000 data rows. Obviously AI is based in San Francisco. Security information lists SOC 2 Type II, GDPR data-retention compliance, HIPAA compliance, TLS in transit, and AES-256 at rest.

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