dbader/schedule

Features

• Job Schedulers - Provides a lightweight utility for automating recurring function calls at fixed intervals.
• Interval Parsing - Provides human-readable timing syntax to define recurring task intervals.
• Task Scheduling - Automates the execution of Python functions using human-readable timing syntax.
• Time-Based Triggers - Uses time-based triggers to execute jobs when the system clock matches the scheduled time.
• Job Scheduling - Enables scheduling of functions at precise times or specific weekdays with timezone support.
• In-Process Task Schedulers - Manages a queue of timed events within the memory space of a single Python process.
• Scheduling Libraries - Provides a lightweight Python library for managing recurring jobs without external dependencies.
• Background Job Schedulers - Automates the execution of repetitive background tasks on a fixed schedule.
• Job Tagging - Supports organizing and managing groups of timed tasks through assigned job tags.
• Workflow Schedulers - Organizes and controls groups of timed tasks using tags, timeouts, and state monitoring.
• Execution Time Limits - Includes capabilities to terminate scheduled tasks via timeout conditions or manual cancellation.
• Job Registries - Maintains a dynamic registry of scheduled functions and metadata for runtime inspection and filtering.
• Event Loops - Runs a continuous single-threaded event loop to sequentially check and execute pending jobs.
• Synchronous Execution Models - Implements a blocking execution model that ensures scheduled tasks run synchronously on the main thread.
• Scheduler State Inspection - Allows tracking of next planned execution times and system idleness to monitor scheduler progress.
• Job Schedulers - Human-friendly job scheduling.
• Notes and Productivity - Job scheduling for humans.

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