KeaML Alternatives

If you're looking for a KeaML alternative, one of the top contenders is Dataloop. This AI development platform handles data curation, model management, pipeline orchestration and human feedback to speed up AI application development. It supports a variety of unstructured data formats like images, videos and text, and offers features like automated preprocessing, embeddings for similarity matching, and a marketplace for pre-trained models and pipelines. Dataloop also has strong security controls, making it a good choice for those looking to improve collaboration and development productivity.

Another top contender is MLflow, an open-source MLOps tool that simplifies the development and deployment of machine learning and generative AI projects. It provides a unified environment to manage the entire ML project lifecycle, including experiment tracking, logging and model management. MLflow supports widely used deep learning and traditional machine learning libraries, and runs on a variety of infrastructure. Its open-source design means it's free to use, and it can help improve collaboration, transparency and efficiency in ML workflows.

If you're looking for a platform that's geared for performance and efficiency, Anyscale is a good choice. Based on the open-source Ray framework, Anyscale offers workload scheduling, cloud flexibility, intelligent instance management and support for a broad range of AI models. It has native integrations with popular integrated development environments and a free tier, so it's a good choice for teams trying to get the most out of their resources and simplify their workflow. Anyscale also has strong security and governance controls, so it's a good fit for enterprise customers.