BigML vs JADBio
BigML
bigml.comJADBio
jadbio.comSide by side
| Figure | BigML | JADBio |
|---|---|---|
| Price from | $833.33/mo | $183.25/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 7 | 3 |
| Spec score · AutoML Software | 9.1 (#1) | 8.1 (#8) |
| Spec score · Low-Code Machine Learning Platforms Software | 9.2 (#1) | 8.1 (#4) |
| API | BigML exposes a REST API that covers most Dashboard functionality and authenticates requests with a username and API key over HTTPS. | The REST API can add AutoML, including image analysis, to applications and automate workflows; a Python client is offered through GitHub, PyPI, and Anaconda. |
| Deployment | Private deployments can run on a preferred cloud provider, ISP, or on-premises behind a corporate firewall, as managed or self-managed deployments. | Business Pro lists AWS container and on-premise delivery options in addition to SaaS. |
| Founded | 2011 | 2019 |
| Headquarters | BigML lists Corvallis, Oregon as headquarters and Valencia, Spain as its European headquarters. | Heraklion, Crete, Greece; Los Angeles, California, US |
| Integrations | Official tools include Google Sheets, Zapier, Node-RED, Alexa, PredictServer and a native BigMLX macOS application. | The Team plan includes connection to public repositories, while Business Pro plans include connection to public and private repositories. |
| Support | BigML Lite includes standard 8x5 email and chat support with a 48-hour maximum response time; Enterprise lists customized email and chat with a 24-hour maximum response time. | The pricing page lists Standard, Premium, and Platinum support service levels, with Platinum listed for Business Pro. |
Plans
BigML
- FREEFree
- Basic BigML training$800, paid once
- BigML Lite$1,000 a month
- Extra Support$3,000 a month
- BigML Lite$10,000 a year
- BigML Lite (annual)$10,000 a year
- Bronze Enterprise$45,000 a year
In their own words
BigML
BigML is a machine-learning platform for classification, regression, forecasting, clustering, anomaly detection, association discovery, and topic modeling. It provides interactive model visualizations, prediction explanations, and field-importance views. Models can be exported in JSON PML or PMML formats for use in programming languages and web, mobile, or IoT applications. OptiML helps select and tune models; WhizzML automates workflows, and Scriptify turns workflows into reusable scripts. Users can work through the REST API and language bindings including Python, Node.js, Ruby, Java, and Swift. Listed integrations include Node-RED, Google Sheets, Zapier, Alexa, Docker, and macOS. BigML runs on web, macOS, API, and self-hosted platforms, with private deployments available on a cloud provider, ISP, or on-premises. The free plan is $0/month and includes up to 60 tasks, a 16 MB per-task dataset limit, and two parallel tasks. Paid plans start at $1,000/month; a three-day trial is available.
JADBio
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.