Visible request capacity
Turns request timestamps and a documented fixed-window limit into used, remaining and utilization values.
Day 036 / APIs / Rate Limits
Rate Limit Visualizer
/ Overview
A dependency-free Python CLI that evaluates sanitized request timestamps against a fixed-window limit and visualizes usage, remaining capacity, status and reset timing.
A rate-limit number alone does not show how close a client is to a fixed-window boundary, when capacity resets or whether the current usage deserves attention. Testing those states against a live provider can also create avoidable requests.
/ Provided servicesClear thinking.
Clear thinking.
Practical delivery.
Deterministic reset timing
Aligns the active window to UTC epoch boundaries and shows the exact reset timestamp and remaining seconds.
Honest modeling boundary
Makes no network request and does not claim to reproduce sliding-window, token-bucket or provider-specific policies.
/ Solution
Rate Limit Visualizer validates a bounded JSON array of timezone-aware timestamps, counts requests inside the active fixed window and reports usage, remaining capacity, reset timing and a compact status bar. It produces readable or JSON output and never contacts an API.
/ Impact
Fixed-window usage calculation
Healthy, warning and blocked states
Reset-boundary countdown
Timezone-aware ISO 8601 input
Readable and JSON reports
Twelve standard-library tests included
Python standard library
Argparse, dataclasses, datetime and JSON provide the dependency-free command-line workflow.
API rate limiting
Models fixed windows, bounded capacity, threshold states and reset timing without touching a live service.
Unittest
Twelve tests cover window membership, boundaries, future dates, statuses, visualization, validation and CLI JSON output.