Pipedream is a workflow automation platform built for developers, connecting thousands of APIs with code-level control, instant triggers and AI-assisted step building.
Pipedream combines the speed of no-code automation with the power of code. Developers build event-driven workflows that trigger on HTTP requests, schedules or events from thousands of integrated apps, then transform data with Node.js or Python steps that can use any npm or PyPI package. Its AI assistant can generate workflow steps from natural language descriptions.
Because workflows run on managed infrastructure with built-in secrets management, versioning and observability, Pipedream is used for everything from ETL jobs to production backend automation. The platform exposes a full API for managing workflows programmatically and offers generous free usage for small workloads.
Pipedream’s platform is built on managed serverless infrastructure with generous included compute per step, so workflows can run Python or Node.js with any package — pandas for transforms, official SDKs for APIs, even ML libraries. Thousands of pre-built triggers and actions cover the SaaS ecosystem, and the workflow builder supports branching, concurrency and error handling. Because workflows are code, teams can version them, review changes and manage them programmatically through Pipedream’s API and CLI.
Pipedream has a free tier with monthly workflow credits and included compute; paid plans scale credits, concurrency, retention and add team and enterprise features.
Developers and technical teams who want automation speed without giving up real code, custom logic and API-level control.
Yes — a generous free tier covers hobby and small production workloads, with paid tiers for scale.
Yes, Pipedream exposes APIs and a CLI to manage workflows, sources and accounts programmatically.
It sits between Zapier-style no-code tools and self-hosted queues: developer-grade logic with zero infrastructure.
Yes — code steps can import any npm or PyPI package, letting workflows use official SDKs, data libraries and other dependencies.
Developers use Pipedream to automate backend processes: syncing data between SaaS APIs, processing webhooks, running scheduled ETL jobs, building internal tools and prototyping integrations quickly. Its code steps handle complex transforms with real packages, and the workflow API supports managing automation as part of engineering practice rather than shadow IT.
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