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SPECIFICTION
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LightAutoML vs Obviously AI

LightAutoML

lightautoml.readthedocs.io

Obviously AI

obviously.ai

Side by side

FigureLightAutoMLObviously AI
Price fromFreeFree
Free planYesYes
Free trial—Yes
Open source——
WebYesYes
WindowsYes—
macOSYes—
LinuxYes—
API—Yes
Self-hostedYes—
Plans published14
Spec score · AutoML Software7.6 (#16)8.0 (#10)
AutomationIts pipeline creation supports automatic hyperparameter tuning, data processing, typing, feature selection, time utilization, and report creation.The homepage describes automatic model monitoring combined with if-this-then-that automations using Zapier.
IntegrationsThe project offers optional installation extras for NLP, computer vision, and reports, and its tutorial demonstrates a SQL data source.The official integrations catalog lists Airtable, Amazon Redshift, Box, Chartio, CSV, Dropbox, Google Analytics, Google BigQuery, Google Drive, HubSpot, JSON, Kaggle, Mode, MongoDB, MySQL, PostgreSQL, Salesforce, Shopify, Snowflake, SQL Server, Tableau, Typeform and Zapier.
SupportThe repository directs users to its Slack community or Telegram group for advice and GitHub issues for bug reports and feature requests.The pricing page lists email support for Free and dedicated AI strategist, dedicated data scientist, video call, and chat support for the paid plans.

Plans

LightAutoML

  • LightAutoMLFree

LightAutoML pricing →

Obviously AI

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

Obviously AI pricing →

In their own words

LightAutoML

LightAutoML is an open-source Python library for automated machine learning on tabular and text data. It supports binary and multiclass classification and regression, using ready-made tabular, text and WhiteBox presets or modular custom pipelines. Pipeline creation can automate data processing and typing, feature selection, hyperparameter tuning, time utilization and report creation. Documented model classes include linear models, LightGBM and CatBoost boosted trees, neural networks and a WhiteBox scorecard. Its basic tutorial says the library can handle missing values and outliers automatically. Optional installation extras cover NLP, computer vision and reports, and a tutorial demonstrates a SQL data source. Installation is through PyPI with `pip install lightautoml`; the project is licensed under Apache License, Version 2.0. The maker describes it as a way for data scientists and analysts to reduce routine data preparation and model selection work. The current package handles datasets with independent samples in each row; multitable datasets and sequences remain in progress.

Visit lightautoml.readthedocs.io

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.

Visit obviously.ai