Gumloop vs Windmill: Which Is Better in 2026?

Gumloop is a no-code platform for building powerful AI-driven automations and workflows on a visual canvas. It lets teams drag and connect nodes to create automations that incorporate AI at their core — scraping and enriching data, processing information, making decisions, generating content and taking actions — making it especially suited to the data-heavy, operations-focused work that benefits enormously from intelligent automation. It sits at the intersection of traditional workflow automation and the new world of AI agents, accessible to non-developers.

On Gumloop's canvas, you build flows by combining building blocks: data sources, web scraping, AI steps that reason or generate, transformations, integrations and outputs. Because AI is a first-class part of the workflow rather than an add-on, you can create automations that go beyond rigid if-this-then-that logic — flows that read and understand content, summarize or classify data, make context-aware decisions, and handle the kind of "fuzzy" tasks that previously required a human. This is powerful for operations, research, sales and marketing teams who deal with lots of unstructured data and repetitive analytical work.

Gumloop is designed to be approachable for non-technical users while remaining capable enough for serious use, with a clean visual interface, ready-made templates and integrations with the tools teams rely on. This makes it a favorite for automating processes like lead enrichment, content workflows, data collection and analysis, and other operational tasks where AI can do the heavy lifting. As businesses look to apply AI to streamline their operations, no-code platforms that make building AI automations and agentic workflows accessible are increasingly valuable. For teams that want to harness AI to automate their data-heavy and operational work — without writing code — Gumloop offers a flexible, powerful and genuinely modern platform that brings the capabilities of AI agents within reach of everyday business users.

Windmill is an open-source developer platform that turns scripts into production-grade workflows, scheduled jobs, APIs and internal tools — combining the flexibility of code with the convenience of a low-code platform. It's aimed at developers and technical teams who want to automate processes and build internal applications without the limitations of pure no-code tools or the overhead of building everything from scratch. You write logic in real languages (Python, TypeScript, Go, Bash, SQL and more), and Windmill handles turning that into scalable, reliable automation.

The platform's versatility is its strength. From individual scripts, Windmill lets you build multi-step workflows with a visual flow editor, schedule jobs with cron, expose logic as APIs and webhooks, and create internal app UIs and admin tools on top of your code. This means a single platform can replace a patchwork of automation tools, internal tooling frameworks and job schedulers, all while keeping your business logic in maintainable, version-controllable code rather than locked inside a proprietary visual builder. It handles execution, dependencies, secrets, permissions and observability so you don't have to.

Being open source, Windmill can be self-hosted for full control, privacy and cost efficiency — appealing strongly to teams that want to own their automation infrastructure — with a cloud option available too. It's designed for performance and scale, and supports collaboration so teams can build and share scripts, flows and apps. This makes it a powerful fit for engineering, data and operations teams that need to automate workflows, run scheduled jobs, and build internal tools quickly while retaining the power and maintainability of code. For developers who find no-code automation too limiting but don't want to build and operate their own automation stack from zero, Windmill offers a flexible, open and genuinely powerful platform that bridges the gap.