AutoKeras vs JADBio

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.

JADBio is a no-code automated machine learning platform for life scientists analyzing public or study data. It accepts curated CSV and other delimited files, and users choose the outcome to predict. Supported data includes genomics, transcriptome, metagenome, proteome, metabolome, clinical data, and images. Analysis features include automated preprocessing, feature selection, survival analysis, predictive modeling, and model interpretation; outputs can include predictive models, biomarkers or biosignatures, visualizations, and information for applying models. The REST API can add AutoML, including image analysis, to applications and automate workflows, with a Python client available through GitHub, PyPI, and Anaconda. JADBio offers web, API, and self-hosted options. Basic is free and includes one seat, three projects, a 50 MB upload limit, 500 MB storage, and one model export. Team is listed at $2,199 a year, billed annually, and includes a 14-day free trial. Business Pro has custom pricing and lists SaaS, AWS container, and on-premise delivery.