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Reliability & rate limiting

Retries, exponential backoff, circuit breakers, token buckets, and idempotent handlers.

6 matches

How to Implement a Rate Limiter in Python

A beginner-friendly Python class that tracks call timestamps with a deque to allow or block calls based on a max rate per time period.

rate-limit deque time

Python

import time
from collections import deque


class RateLimiter:
    """Simple rate limiter for beginners."""

    def __init__(self, max_calls: int, period_seconds: float):
        self.max_calls = max_calls
        self.period = period_seconds
        self.calls = deque()

    def allow(self) -> bool:
        """Retur…

16 0 Open

Reliability & rate limiting medium

How to Implement a Sliding Window Log Rate Limiter in Python

Implements a sliding window log rate limiter in Python using a deque of timestamps to enforce a maximum request count within a rolling time window.

rate-limiting sliding-window deque

Python

from collections import deque
from datetime import datetime, timedelta
from time import sleep


class SlidingWindowLog:
    def __init__(self, window_seconds: int, max_requests: int):
        self.window_seconds = window_seconds
        self.max_requests = max_requests
        self.timestamps = deque()

    def allow_…

15 0 Open

Reliability & rate limiting easy

How to implement rate limiting in Python

Build a simple sliding-window rate limiter in Python that enforces a max number of calls per time period and formats data with timestamps.

rate-limiting time sliding-window

Python

import time

class RateLimiter:
    def __init__(self, max_calls, period):
        self.max_calls = max_calls
        self.period = period
        self.calls = []
    
    def allow(self):
        now = time.time()
        # Remove calls older than the period window
        self.calls = [t for t in self.calls if now -…

17 0 Open

Reliability & rate limiting medium

How to implement rate limiting per API key in Python

A simple sliding-window rate limiter that tracks request timestamps per API key and rejects requests exceeding the configured limit.

rate-limiting api time-window

Python

import time

API_RATE_LIMITS = {"api_key_1": 5, "api_key_2": 3}  # max requests per window
WINDOW_SECONDS = 10

class RateLimiter:
    def __init__(self, limits, window):
        self.limits = limits
        self.window = window
        self.requests = {key: [] for key in limits}

    def allow(self, api_key):
       …

13 0 Open

Reliability & rate limiting easy

Rate Limit per User ID in Python with a Dict Mock

Implements a simple sliding window rate limiter using a defaultdict of timestamps per user ID, blocking requests that exceed a max count within a time window.

rate-limiting defaultdict sliding-window

Python

import time
from collections import defaultdict


class RateLimiter:
    def __init__(self, max_requests, window_seconds):
        self.max_requests = max_requests
        self.window_seconds = window_seconds
        self.user_timestamps = defaultdict(list)

    def allow_request(self, user_id):
        now = time.tim…

14 0 Open

Reliability & rate limiting easy

Rate Limiting with a Simple Python RateLimiter Class

A beginner-friendly Python rate limiter that tracks call timestamps and enforces a maximum number of calls within a rolling time window, with a helper to validate positive integers.

rate-limiting time api

Python

import time

class RateLimiter:
    def __init__(self, max_calls, period_seconds):
        self.max_calls = max_calls
        self.period_seconds = period_seconds
        self.calls = []

    def is_allowed(self):
        now = time.time()
        while self.calls and now - self.calls[0] >= self.period_seconds:
      …

13 0 Open

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