If you're looking for a different Anaconda alternative, DataRobot AI Platform is another top choice. It unifies predictive and generative workflows so you can rapidly develop and deploy AI models while maintaining strong governance. It works with many cloud environments and systems, and offers enterprise monitoring and control, which can dramatically boost your AI work.
Another option is Obviously AI, a no-code AI platform that automates data science workflows. The platform is geared for users who want to create and deploy machine learning models without a lot of programming. It supports a range of use cases including classification, regression and time series forecasting, and offers features like one-click deployment, automated model monitoring and real-time APIs.
For a broader approach, Dataiku offers a platform that formalizes the use of data for business outcomes, making AI accessible to mainstream use cases. It covers data preparation, machine learning, MLOps, collaboration and governance, and is designed to support a wide range of teams and industries. It also offers a free edition for up to three users and a 14-day trial, so it's accessible for a range of adoption levels.
Last, Anyscale offers a powerful platform for building, deploying and scaling AI applications. Based on the open-source Ray framework, it supports a broad range of AI models and offers features like workload scheduling, cloud flexibility and smart instance management. Anyscale also offers native integrations with popular IDEs and persisted storage, making it a good choice for enterprises.