ratelimits 0.1.4

A simple function decorator that enables rate limiting using fixed window or sliding window strategies.

ratelimiter

A small Python library that provides simple function decorators for rate limiting using either a fixed-window (bursty) or a sliding-window (steady) strategy.

Example — Fixed window (bursty)

from ratelimits import ratelimits
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime as dt

@ratelimits("fixed_window", calls=10, period=20)
def my_task(x):
    print(f"{dt.now()} | task", x)

with ThreadPoolExecutor(max_workers=None) as executor:
    executor.map(my_task, range(20))

Example — Sliding window (steady, evenly spaced)

from ratelimits import ratelimits
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime as dt

@ratelimits(
  type   = "sliding_window", 
  calls  = 10, 
  period = 60,
  debug  = True,
  log_message = lambda args, kwargs: f"Running with args {args} and kwargs {kwargs}"
)
def my_task(x):
    pass

with ThreadPoolExecutor(max_workers=None) as executor:
    executor.map(my_task, range(20))

Parameters Summary

Parameter	Type	Description
calls	int	Maximum number of calls allowed per window.
period	int | float	Duration of the window in seconds.
offset_start / offset_end	(FixedWindow only)	Optional adjustments for the start and end edges of the window.
debug	bool	Enables verbose logging to stdout for debugging and tracing sleep intervals.
log_message	text	Optional print statement to track execution parameters.