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MemoryLimiter

  • Description: In-Memory rate limiter that lives for the lifetime of the project runtime.
Pros:
  • Fastest rate limiter since it lives in Python memory.
  • No extra dependencies.
Cons:
  • It makes the project stateful, meaning the rate limiter internal state is unique for each process running the project. If there are more than 1 process running the project, this rate limiter will fail.
  • Rate limiter state is lost when the process is stopped or restarted.

class MemoryLimiter

Backend: pyot.limiters.memory.MemoryLimiter
Definitions:
  • __init__
    • limiting_share: float = 1