Onyxia is described as 'Open-source, cloud-native data science platform designed to provide a "state-of-the-art" working environment for data scientists, analysts, and engineers. It acts as a user-friendly "glue" between complex backend technologies like Kubernetes, S3' and is an app. There are six alternatives to Onyxia for a variety of platforms, including Web-based, Windows, SaaS, Mac and Linux apps. The best Onyxia alternative is Altair RapidMiner, which is free. Other great apps like Onyxia are Alteryx, H2O.ai, Dataiku and Spell.
RapidMiner makes data science teams more productive through an open source platform for data prep, machine learning, and model deployment.
Altair RapidMiner is the most popular Windows, Mac & Linux alternative to Onyxia.
Altair RapidMiner is the most popular free alternative to Onyxia.
Automates every step of analytics, offering drag-and-drop data blending, text mining with OCR and NLP, insights enrichment, and integration with 70+ apps. Connect workflows with RPA and process intelligence systems for deeper insights and process automation breakthroughs.
Alteryx is the most popular Web-based & SaaS alternative to Onyxia.
Alteryx is the most popular commercial alternative to Onyxia.
H2O is an open source, in-memory, distributed, fast, and scalable machine learning and predictive analytics platform that allows you to build machine learning models on big data and provides easy productionalization of those models in enterprise env.
H2O.ai is the most popular Open Source alternative to Onyxia.
Bring data analysts, engineers, and scientists together. Enable self-service analytics and operationalize machine learning. Get results today and build for tomorrow.
Dataiku is the most popular Self-Hosted alternative to Onyxia.
The fastest and most powerful end-to-end platform for data science, machine learning and deep learning. Spell’s infrastructure and tools allow anyone to prepare, train, deploy, and manage machine learning projects.
ZinkML: Zero-Code | End-to-End | Data Science Platform: Empowers innovators with Plug & Play tools helping rapid experimentation to build and deploy machine learning use cases.
United States
