Auto-PyTorch
6.1#11 in automl softwareFree planFree planLinuxSelf-hosted
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| Fact | Auto-PyTorch | Obviously AI |
|---|---|---|
| Deployment | The project provides a Docker image and can be installed from PyPI or manually in a Python environment. | The product page says instant web apps let users share a dynamic link to use a model in real time. |
| Integrations | The documentation describes using Dask.distributed for parallel Bayesian optimization and sklearn column transformers for data preprocessing. | 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. |
| What it does | Auto-PyTorch is an automated machine-learning toolkit based on PyTorch that helps users automate algorithm selection and hyperparameter tuning. | Obviously AI is a no-code hosted platform for turning historical data into predictive machine-learning models without programming. |
Auto-PyTorch suits machine-learning practitioners who want to automate model search in a code-based, self-hosted workflow. Its documented tasks cover tabular data and time-series forecasting.
The Free plan is described as intended for individuals, hobbyists, and non-profits. Obviously AI may suit users who have structured CSV data and want to build predictive models without code.