sse-starlette

Install

sse-starlette on PyPI

pip install sse-starlette

uv add sse-starlette

poetry add sse-starlette

Package facts

Evidence: sse_starlette-3.4.8-py3-none-any.whl

About sse-starlette

from the package's own PyPI description — quoted content, verbatim

pip install sse-starlette
uv add sse-starlette

# To run the examples (fastapi, uvicorn, pydantic)
uv add sse-starlette[examples]

# Example 03 also needs the DB extras (sqlalchemy, aiosqlite)
uv add sse-starlette[examples,examples-db]

# Recommended ASGI server
uv add sse-starlette[uvicorn,granian,daphne]

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Provides Server-Sent Events (SSE) streaming for Starlette and FastAPI applications, following the W3C SSE specification with async/await support, automatic client disconnect detection, and graceful shutdown handling.

Installation is straightforward with low friction—the package is pure Python, wheels are available, and it depends only on starlette and anyio. Active maintenance (last release 8 days ago, 846 GitHub stars) and support for Python 3.10–3.13 indicate solid upkeep.

BSD-3-Clause is permissive and imposes minimal restrictions; you may use, modify, and distribute sse-starlette freely in commercial and proprietary projects provided you include the license notice.

pip install sse-starlette

from starlette.applications import Starlette
from starlette.routing import Route
from sse_starlette import EventSourceResponse
import asyncio

async def generate_events():
    for i in range(10):
        yield {"data": f"Event {i}"}
        await asyncio.sleep(1)

async def sse_endpoint(request):
    return EventSourceResponse(generate_events())

app = Starlette(routes=[Route("/events", sse_endpoint)])

Verdict: sse-starlette is a production-ready, actively maintained SSE implementation for Starlette and FastAPI with no known vulnerabilities. Low install friction, permissive licensing, and comprehensive async features (graceful shutdown, multi-threaded support, memory channels) make it a solid choice for real-time streaming in modern Python web applications.

Needs verification

• Whether the package's multi-threaded and multi-loop support is tested in production environments at scale.
• Performance characteristics and memory overhead when streaming to large numbers of concurrent clients.

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