Temporal vs Windmill

Side-by-side comparison of two AI agent tools

Temporalopen-source

Temporal service

Windmillopen-source

Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.

Metrics

TemporalWindmill
Stars23.4k18.1k
Star velocity /mo675.5614973262033317.80748663101605
Commits (90d)5441.2k
Releases (6m)1010
Overall score0.88591021675580650.8726503315063926

Pros

  • +Automatic failure handling and retry logic eliminates complex error recovery code
  • +Mature, battle-tested technology originally developed at Uber with strong reliability track record
  • +Comprehensive tooling ecosystem including CLI, Web UI, and multi-language SDK support
  • +Multi-language support with automatic UI generation from scripts in Python, TypeScript, Go, Bash, SQL, and more
  • +High performance workflow engine claiming 13x faster execution than Airflow
  • +Self-hostable open-source solution with AGPLv3 license providing full control and customization

Cons

  • -Requires learning workflow-based programming paradigms which can have a steep learning curve
  • -Additional infrastructure complexity requiring Temporal server deployment and maintenance
  • -Overhead for simple applications that don't require durable execution guarantees
  • -AGPLv3 license may restrict some commercial use cases and require careful compliance consideration
  • -Being a comprehensive platform may introduce complexity for simple automation tasks
  • -Self-hosting requires infrastructure management and maintenance overhead

Use Cases

  • •Long-running business processes with multiple steps that need guaranteed completion
  • •Microservice orchestration and coordination across distributed systems
  • •Data processing pipelines requiring automatic retry and failure recovery mechanisms
  • •Building internal APIs and webhooks from existing scripts without additional infrastructure
  • •Creating automated workflows for background jobs and data processing pipelines
  • •Developing low-code internal applications with custom UIs for non-technical team members