# PyWorkflow

## Docs

- [Cancellation](https://docs.pyworkflow.dev/concepts/cancellation.md): Gracefully cancel running or suspended workflows
- [Continue-As-New](https://docs.pyworkflow.dev/concepts/continue-as-new.md): Reset event history by continuing workflows as new executions
- [Events](https://docs.pyworkflow.dev/concepts/events.md): Event sourcing provides durability, auditability, and deterministic replay
- [Fault Tolerance & Auto Recovery](https://docs.pyworkflow.dev/concepts/fault-tolerance.md): How PyWorkflow automatically recovers workflows from worker crashes
- [Hooks](https://docs.pyworkflow.dev/concepts/hooks.md): Pause workflows and wait for external events like approvals, webhooks, or user actions
- [Limitations](https://docs.pyworkflow.dev/concepts/limitations.md): Built-in safeguards and limits to ensure stable workflow execution
- [Schedules](https://docs.pyworkflow.dev/concepts/schedules.md): Automatically execute workflows on a recurring basis using cron, intervals, or calendar-based schedules
- [Sleep](https://docs.pyworkflow.dev/concepts/sleep.md): Pause workflows for any duration without consuming resources
- [Step Context](https://docs.pyworkflow.dev/concepts/step-context.md): Share typed, read-only context data between workflows and distributed steps
- [Steps](https://docs.pyworkflow.dev/concepts/steps.md): Isolated, retryable units of work that form the building blocks of workflows
- [Stream Steps](https://docs.pyworkflow.dev/concepts/stream-steps.md): Reactive, long-lived steps that subscribe to signals on a stream and resume on each arrival
- [Stream Workflows](https://docs.pyworkflow.dev/concepts/stream-workflows.md): Long-lived, reactive workflows built from stream steps that react to signals on a named channel
- [Workflows](https://docs.pyworkflow.dev/concepts/workflows.md): Top-level orchestration functions that coordinate steps and handle business logic
- [Celery Brokers](https://docs.pyworkflow.dev/guides/brokers.md): Configure message brokers for distributed workflow execution with Celery runtime
- [Command Line Interface](https://docs.pyworkflow.dev/guides/cli.md): Manage workflows and runs from the terminal with the PyWorkflow CLI
- [Configuration](https://docs.pyworkflow.dev/guides/configuration.md): Configure PyWorkflow for your application using config files or programmatic setup
- [Introduction](https://docs.pyworkflow.dev/introduction.md): Distributed, durable workflow orchestration for Python
- [Quick Start](https://docs.pyworkflow.dev/quickstart.md): Get up and running with PyWorkflow in under 5 minutes

## OpenAPI Specs

- [openapi](https://docs.pyworkflow.dev/api-reference/openapi.json)

## Optional

- [FlowHunt](https://www.flowhunt.io)
- [GitHub](https://github.com/qualityunit/pyworkflow)
- [Community](https://discord.gg/RN3U7rkNuz)