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What is the best alternative to Starlette?
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FastAPI
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17
Experiences
Pros
15
Cons
1
Specs
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Pro
Dependency injection
It has a simple but powerful dependency injection system, it can be used to handle authentication, per-user rate limiting, authorization controls (e.g. with roles), etc.
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Con
Smaller community
Since FastAPI is relatively new, its community is smaller than Django Rest Framework. But it can grow with time.
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Pro
Standards
It is based on standards: OpenAPI, JSON Schema and OAuth 2.0.
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Pro
Data validation
It validates the data using the types you declared. Even in deeply nested JSON requests.
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Pro
High-performance
It's based on Starlette and Pydantic, so, it's one of the fastest Python frameworks.
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Pro
Editor completion
It is based on Python type declarations, so, editors and tools can give great support. Including type checks and autocompletion everywhere.
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Pro
One of the fastest growing communities
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Pro
Fast is really fast (!)
It's easy to develop API based applications in Python on deadlines for Android and IOS Development.
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Pro
Automatic docs
It generates interactive API documentation automatically from your code.
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Pro
Database independent
It's independent of database or ORM, but compatible with all of them. Including relational databases and NoSQL.
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Pro
Async IO / optional
It's based on Async IO, which gives it high concurrency. But you can use non-async libraries and it runs them appropriately.
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Pro
World class documentation
It has some of the best documentation of any framework.
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Pro
WebSockets
Because it's an async framework, it can handle async-native protocols like WebSockets.
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Pro
OAuth 2.0
It has integrated support for OAuth 2.0. Including declaring required scopes per endpoint. So, you can easily integrate it with external OAuth 2.0 providers or build your own with it.
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Background tasks
Included support for background tasks, thanks to being based on Starlette.
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Pro
Supports GraphQL
Python's graphene library is included as an optional dependency meaning that GraphQL API's are supported out of the box, with no additional tweaking needed.
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Specs
Platforms:
Cross-platform
License:
MIT
Type:
standard and feature rich micro-framework
Initial Release:
2019
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