Litestar: A High-Performance ASGI Framework

An ASGI framework with data validation, ORM support, and authorization primitives

Litestar is a production-ready ASGI framework focused on building APIs. It is the successor to Starlite. The framework provides data validation, dependency injection, first-class ORM integration, authorization primitives, middleware, and a plugin API. The README describes it as powerful, flexible, and opinionated.

Both FastAPI and Litestar build on ASGI and Pydantic, but they make different architectural choices. FastAPI emphasizes minimal overhead and ease of getting started. Litestar includes more infrastructure out of the box, trading some simplicity for more built-in capabilities. Teams often evaluate Litestar against FastAPI for API projects and against Django for applications that would otherwise require a full-stack framework. The README does not provide benchmarks or performance comparisons; if performance is critical, benchmark both on your actual application code.

Type-based validation, dependency injection, and ORM integration

Litestar provides high-performance data validation through typed function signatures. The framework examines route handler type annotations and validates incoming data against them automatically, eliminating the need to write validation code by hand. Dependency injection is built in, allowing route handlers to declare their dependencies as function parameters. Litestar resolves these dependencies before calling the handler, reducing boilerplate and enabling easy testing by swapping dependencies in tests.

First-class ORM integration means Litestar knows how to serialize and deserialize database models natively, supporting SQLAlchemy, Tortoise ORM, Piccolo, and others. Authorization primitives are included in the framework, reducing the need for custom middleware or decorators. Guards and roles can be defined directly on route handlers. A rich plugin API lets you extend Litestar's behavior without modifying core code. Middleware support allows standard HTTP-layer transformation for cross-cutting concerns like logging, compression, or request tracing.

The documentation is extensive, with examples and guides on the official website. The Litestar fullstack repository shows how a complete application looks, including frontend integration and deployment patterns.

Python 3.11+, PyPI install with optional extras for CLI and ORM

Litestar requires Python 3.11 or newer. The package is installed from PyPI as litestar. The core dependencies are anyio (async operations), msgspec (serialization), multidict (multi-value dictionaries), typing-extensions (backported type features), multipart (parsing form data), and sniffio (async framework detection).

Optional dependencies support specific use cases. The cli extra adds click, jsbeautifier, rich, and rich-click for command-line applications. The cryptography extra adds encryption support for security features. Specific ORM packages like sqlalchemy, tortoise-orm, and piccolo have corresponding extras for direct integration.

The Makefile in the repository provides common development tasks. Use uv sync to set up a development environment if your project uses the uv package manager:

uv sync

This command installs the project dependencies and sets up a virtual environment for development. The framework also supports standard pip installation from PyPI.

Python version support and development status

Litestar supports Python 3.11, 3.12, 3.13, and 3.14. The current version in the repository is 3.0.0b0, indicating a beta release, but the pyproject.toml classifier lists it as "Development Status: 5 - Production/Stable". This labeling reflects that the framework is production-ready despite the beta version number.

The last push to the repository was on 2026-09-25, four days ago. Recent releases were v2.24.0 (2026-06-11), v2.23.0 (2026-05-29), and v2.22.0 (2026-05-20). The release cadence is regular, typically every few weeks. The license is MIT, allowing commercial use and modification without restriction. The project maintains a community through Discord, Reddit, and Matrix chat channels.

API-only framework with async-first design excludes templates and synchronous code

Litestar is an ASGI framework for building APIs, not a full-stack web framework. It does not provide server-side rendering or template engines. For traditional server-rendered web applications, frameworks like Django or FastAPI used with Jinja are better choices.

Litestar is async-first and requires understanding of async patterns. If you are building synchronous, CPU-bound applications or applications where async adds more complexity than value, consider simpler frameworks. Litestar also does not claim to be faster than all alternatives; performance comparisons with FastAPI are questions users ask but the README does not answer them with benchmarks. Teams considering Litestar should evaluate whether the built-in features justify the added complexity compared to minimal frameworks.

Editorial conclusion

Litestar is for teams building APIs who value type safety, developer experience, and built-in infrastructure. Use it if your projects require multiple Python versions from 3.11 onward, benefit from a plugin API and first-class ORM integration, or need authorization primitives without external libraries. Skip it if you prefer minimal frameworks, need server-side rendering, or if your applications must support Python 3.10 or earlier. Verify that your deployment environment can support async ASGI applications and that your team is comfortable with the async/await patterns Litestar requires.

Frequently asked questions

Official sources

1. License: MIT
2. litestar-org/litestar on GitHub
3. Project website
4. README
5. Releases