Flama
A Python framework for building and deploying machine learning APIs with a focus on simplicity and performance.
What is Flama?
Flama is a Python library that establishes a standard framework for developing and deploying APIs, with a special focus on machine learning. It simplifies the entire process of building ML APIs, often to a single line of code, by providing tools for schema validation, dependency injection, and automatic documentation generation. The framework builds on Starlette to ensure high performance and supports REST, GraphQL, and asynchronous services.
Python developers and data scientists who need to deploy machine learning models as production-ready APIs, or teams building performant web services with integrated ML capabilities.
Developers choose Flama for its ridiculously simple deployment of ML APIs, comprehensive feature set including automatic OpenAPI documentation and pagination, and its foundation on the high-performance Starlette framework, making it ideal for asynchronous and scalable services.
Overview
Fire up your models with the flame 🔥
Use Cases
Best For
- Deploying machine learning models as REST or GraphQL APIs with minimal code
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