API Rate Limiter Calculator – Design Rate Limiting Strategies
Calculate rate limits with token bucket, leaky bucket, and sliding window algorithms for API throttling and protection.
API Rate Limiter Calculator
Calculate and configure rate limiting strategies
lightbulbPopular Use Cases
Configure standard REST API rate limiting (1000 requests/hour)
Handle burst traffic with token bucket algorithm (100/sec with burst)
Manage concurrent database connections and query limits
Match external API limits like Stripe or Twitter (100/sec)
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› About this tool · FAQ
Stop writing rate limiter configs from scratch! Generate comprehensive API rate limiting configurations with multiple algorithms (token bucket, leaky bucket, fixed/sliding window), deployment targets (Redis, Nginx, Cloudflare, AWS), and monitoring setups. Perfect for API development, traffic control, and DDoS protection. Free, works offline, unlimited configurations.
How do I generate rate limiting configurations?
Configure your rate limits (requests per time period), select algorithm (token bucket, leaky bucket, etc.), choose deployment target (Redis, Nginx, AWS), and click Generate. The calculator creates complete implementation code, config files, and monitoring setup instantly.
Is this rate limiter calculator free?
Yes, completely free with unlimited rate limiting configurations. No signup required, no watermarks. Generate configs for any algorithm and deployment target instantly in your browser.
Are configurations uploaded to servers?
No, all rate limiter configuration generation happens locally in your browser. Your API configs and traffic patterns never leave your computer for maximum security.
Which rate limiting algorithm should I choose?
Token bucket is best for APIs that need to handle bursts, leaky bucket for smooth traffic, fixed window for simplicity, sliding window for more accurate limiting, and sliding log for precise control.
How do I handle distributed rate limiting?
Use Redis or similar distributed storage to maintain rate limit counters across multiple servers. The tool generates Redis Lua scripts for atomic operations.
What headers should I include in rate limited responses?
Include X-RateLimit-Limit, X-RateLimit-Remaining, X-RateLimit-Reset, and Retry-After headers to help clients implement proper backoff strategies.
How do I test my rate limiting implementation?
Use the generated testing scenarios to validate normal traffic, burst handling, sustained overload, and recovery behavior.
What monitoring should I implement?
Monitor rate limit hit rates, algorithm performance, request patterns, and set up alerts for unusual traffic or high hit rates.