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🔄 Workflow Engine
$9.99A DAG-based workflow orchestration engine that lets you define multi-step automation pipelines as Python code. Resolves task dependencies automatically, runs independent tasks in parallel via threading, and tracks run history to a local SQLite database. Think mini-Airflow — without the infrastructure overhead.
What’s Included
- DAG engine (~300 lines) with topological sort and cycle detection
- Parallel task execution using ThreadPoolExecutor from stdlib
- Per-task retry policies with configurable delay and backoff
- Run history persisted to SQLite — query past executions easily
- Context passing between tasks via shared state dict
- CLI trigger and programmatic API both included
- README with workflow definition guide and example pipelines
- MIT License — use in commercial projects
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🔒 Secure checkout via Stripe · Instant digital download · Python 3.10+ stdlib only