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Awesome GitHub RepositoriesRate Limiting
Mechanisms for controlling request throughput and preventing resource exhaustion.
Distinguishing note: Focuses on concurrency control for system stability.
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- datalab-to/marker
datalab-to/marker
31,757View on GitHubMarker is a comprehensive document processing platform designed to automate the conversion, extraction, and structuring of data from complex files. It functions as an orchestration engine that chains modular processing steps into versioned, reusable pipelines, allowing organizations to standardize document handling and automate repetitive business tasks at scale. The platform distinguishes itself through its support for secure, private infrastructure deployment, enabling users to run containerized services within their own environments to maintain strict data privacy. It features specialized
Enforces throughput caps and request limits to maintain system stability during high-volume processing.
Python
