FLAML vs Obviously AI

FLAML is free, MIT-licensed open-source software for automated machine learning and tuning. It seeks accurate models or configurations while using low computational resources, and can adapt large language models to applications to reduce monetary costs. Supported AutoML tasks include classification, regression, time-series and panel forecasting, learning to rank, and sequence classification. The flaml.default package recommends data-dependent hyperparameter defaults without runtime tuning. Tuning handles large search spaces, different evaluation costs, constraints, guidance, and early stopping; users can restrict learners or tune a customized learner. Optional integrations include OpenAI models, CatBoost, Vowpal Wabbit, Prophet, statsmodels, Hugging Face Transformers, Ray, Spark, NNI, BlendSearch, Azure Synapse, MLflow, and Azure Machine Learning. Python support for the latest version is 3.10 or later and earlier than 3.14. Ray and Spark enable parallel tuning, but not together, and Spark parallel training does not support GPUs. A .NET implementation is available through ML.NET.

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.