Keploy
e2e Testing and Data Mocking
Keploy is an open-source platform for deploying and managing machine learning models as RESTful APIs. It is designed to simplify the process of deploying machine learning models to production, providing a range of features and tools to make the process easier and more efficient. Some of the key features of Keploy include: Model Deployment: Keploy allows you to deploy machine learning models as RESTful APIs, making it easy to integrate your models with other systems and services. Infrastructure Management: Keploy provides a range of tools for managing the infrastructure required to host your machine learning models, including support for Kubernetes and Docker. Workflow Management: Keploy provides a simple and intuitive interface for managing the entire machine learning deployment process, from training and testing to deployment and monitoring. Versioning: Keploy allows you to version your machine learning models, making it easy to keep track of changes and revert to previous versions if necessary. Customizable: Keploy is highly customizable, and it provides a range of tools and APIs for extending its functionality and integrating with other systems. Overall, Keploy is a powerful and flexible platform for deploying and managing machine learning models as RESTful APIs. Its focus on simplifying the deployment process and providing a range of tools and features makes it a great choice for developers looking to bring their machine learning models to production quickly and efficiently.