cinnaroll.ai
Rapid & simple machine learning model deployment. Without Ops overhead. Unified, streamlined way of testing, experimenting, reviewing, selecting, deploying, monitoring and retraining ML models. subtitle
cinnaroll.ai Alternatives
The best cinnaroll.ai alternatives based on verified products, community votes, reviews and other factors.
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/iguazio-alternatives
Iguazio is a platform that allows users to bring their data science to life, and it automates the MLOps with end-to-end machine learning pipelines while transforming AI projects into the real world.
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/databricks-alternatives
Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
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Build powerful web apps, and create your custom AI apps, no code needed!
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/amazon-sagemaker-alternatives
Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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/weights-and-biases-alternatives
Developer tools for deep learning research
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/dataiku-alternatives
Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
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/comet-ml-alternatives
Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
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/microsoft-azure-functions-alternatives
Serverless, also known as FaaS (Function-as-a-Service), is a new approach to application development. FaaS is a form of serverless computing with an infrastructure managed by the provider to upload functions and use them on a pay-per-request basis.
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/kubeflow-alternatives
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated
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/pachyderm-alternatives
Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
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/azure-machine-learning-service-alternatives
Build and deploy machine learning models in a simplified way with Azure Machine Learning service. Make machine learning more accessible with automated capabilities.
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/neptune-ai-alternatives
Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.
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/managed-mlflow-alternatives
Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
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/scikit-learn-alternatives
scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
