Flask-Limiter
Rate limiting for flask applications
Decision gist · record as of 2026-08-14
Yes. Flask-Limiter is production-stable (Development Status 5), actively maintained, has no known vulnerabilities, and solves a common need with minimal install friction. Use it whenever you need to enforce request quotas on Flask routes—it's the standard tool for this purpose in the Flask ecosystem.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low friction: pure Python wheel with only four runtime dependencies (flask, limits, ordered-set, typing-extensions).
- Actively maintained with a recent release and 1204 GitHub stars.
License · maintenance · safety
MIT (permissive) — MIT license permits use in proprietary and open-source projects with minimal restrictions; attribution required.
last release 2025-12-06 (251 days) · last repo commit 2026-05-10 · 1,204 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 23,352,777 downloads/mo, #949 on PyPI
Alternatives
Verify before relying
pip install Flask-Limiter
from flask import Flask
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
app = Flask(__name__)
limiter = Limiter(get_remote_address, app=app, default_limits=["2 per minute"], storage_uri="memory://")
@app.route("/api")
@limiter.limit("1 per second")
def my_endpoint():
return "response"- Whether the package supports rate limiting strategies beyond fixed-window, moving-window, and sliding-window-counter
- Whether storage backends other than Redis, Memcached, and MongoDB are supported via the limits library
What it is and what it does
Flask-Limiter is a Flask extension that enforces rate limits on HTTP requests to protect your application from abuse or overload. It integrates directly into your Flask app and lets you declare limits at multiple scopes: globally across the application, per blueprint, per route, or on individual endpoints using decorators. You configure it once with a storage backend (in-memory, Redis, Memcached, or MongoDB) and a rate-limiting strategy, then annotate the routes you want to protect.
The package delegates the core rate-limiting logic to the limits library, which handles the actual counting and window management. When a client exceeds their quota, Flask-Limiter returns a 429 Too Many Requests response. You can also exempt specific routes from limits and inspect all configured limits via a command-line interface.
Use it for
- Protect a public API from being hammered by a single client or bot by enforcing per-user request quotas
- Prevent brute-force attacks on login endpoints by limiting authentication attempts per IP address
- Enforce fair-use policies on resource-intensive endpoints like file uploads or report generation
- Distribute request capacity fairly across multiple clients by applying global rate limits to high-traffic routes
- Test rate-limit behavior in development using in-memory storage before deploying with Redis or Memcached
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Flask-Limiter is production-stable (Development Status 5), actively maintained, has no known vulnerabilities, and solves a common need with minimal install friction. Use it whenever you need to enforce request quotas on Flask routes—it's the standard tool for this purpose in the Flask ecosystem.
Install
flask-limiter on PyPI
Before you install
Low friction: pure Python wheel with only four runtime dependencies (flask, limits, ordered-set, typing-extensions). Actively maintained with a recent release and 1204 GitHub stars.
License in practice
MIT license permits use in proprietary and open-source projects with minimal restrictions; attribution required.
Quickstart
pip install Flask-Limiter
from flask import Flask
from flask_limiter import Limiter
from flask_limiter.util import get_remote_address
app = Flask(__name__)
limiter = Limiter(get_remote_address, app=app, default_limits=["2 per minute"], storage_uri="memory://")
@app.route("/api")
@limiter.limit("1 per second")
def my_endpoint():
return "response"Verify before relying
- Whether the package supports rate limiting strategies beyond fixed-window, moving-window, and sliding-window-counter
- Whether storage backends other than Redis, Memcached, and MongoDB are supported via the limits library
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesflasklimitsordered-settyping-extensions |
| Maintenance | Actively maintained 251 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 23,352,777 / month, #949 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: Web EnvironmentFramework :: FlaskIntended Audience :: DevelopersOperating System :: MacOSOperating System :: OS IndependentOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries :: Python Modules |
Evidence: flask_limiter-4.1.1-py3-none-any.whl
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See also slowapi · limits · asynciolimiter · fastapi-limiter · throttled-py · requests-ratelimiter · flask-paginate · asgi-ratelimit · django-ratelimit · ratelim