Open Source Hatchet Alternatives

Windmill is a versatile, open-source workflow automation platform designed for developers who value flexibility and control. It offers a unique code-first approach, allowing you to create powerful workflows, scripts, and apps using your preferred programming languages.

Key benefits of Windmill include:

• Language Agnostic: Write in Python, Typescript, Go, Bash, or Deno, giving you the freedom to use the best tool for each task.
• Self-Hosted: Deploy Windmill on your own infrastructure, ensuring data privacy and compliance with your organization's security requirements.
• Collaborative Features: Work seamlessly with your team using built-in version control, approvals, and sharing capabilities.
• Resource Management: Easily manage credentials, environment variables, and resources across your workflows.
• Flexible Triggers: Schedule jobs, respond to webhooks, or integrate with external services to automate your processes.
• Visual Flow Editor: Combine scripts visually to create complex workflows, making it easy to understand and modify your automation.
• Extensible: Build custom apps and internal tools on top of your workflows, leveraging Windmill's powerful API and SDK.

Whether you're automating DevOps tasks, creating data pipelines, or building internal tools, Windmill provides the flexibility and power you need to streamline your development processes and boost productivity.

Trigger.dev is a managed platform for running long-running TypeScript tasks in production. It handles the infrastructure so you can write straightforward async code without worrying about timeouts, server provisioning, or queue management.

The core use case is AI workflows and agents. You define tasks that can call LLMs, use tools, process files, or chain multiple steps together. Tasks run with automatic retries, configurable backoff, and full execution logs. If something fails, you can replay individual runs from the dashboard.

Beyond AI, it covers scheduled jobs, media processing, browser automation, email sequences, and ETL pipelines. You can run Python scripts alongside your TypeScript code, add system packages, use FFmpeg for video tasks, or automate browsers with Puppeteer.

Realtime lets you stream task status and LLM responses directly to your frontend as tasks progress, without polling. If you want tracing and observability across LLM calls specifically, tools like OpenLIT or OpenLLMetry cover that layer.

Every run is logged with its inputs, outputs, attempt history, and timing. You can filter runs, apply bulk actions, and set up alerts via email, Slack, or webhooks when tasks fail. Each deploy is versioned atomically, so in-flight tasks aren't disrupted by new code.

Pricing is usage-based. You only pay for actual execution time. It's also Apache 2.0 licensed and self-hostable if you prefer to run it on your own infrastructure. For teams comparing workflow orchestration options, Temporal is a common alternative with a different approach to durability and state.