Best Free & Open Source Alternatives to Make

n8n (short for "nodemation") is an open-source workflow automation tool that lets you connect apps, APIs, and services to automate tasks. It features a visual, drag-and-drop interface and supports over 400 integrations out of the box.

You can create custom workflows that handle data transfers, trigger actions, and process logic using built-in nodes or your own JavaScript code. n8n can be self-hosted for full control over data and privacy, or used via their cloud offering.

Whether you're a developer or a non-technical user, n8n helps automate repetitive tasks and build complex workflows without writing a lot of code.

Flowise is an open-source, low-code/no-code platform for building AI agents and LLM-powered workflows through a visual, drag-and-drop interface. It combines a Node.js backend with a React frontend, organized in a modular mono-repository. The core modules include:

• Server – the Node.js API layer
• UI – built with React and responsible for the visual flow builder
• Components – third-party integration nodes
• API Documentation – auto-generated Swagger interface
  (github.com)

Key Capabilities & Modules

Flowise offers several visual builders tailored to different complexity levels:

• Assistant – beginner-friendly agents capable of following instructions, using tools, and retrieving content from uploaded files (RAG features)
• Chatflow – for building flexible chatbots and single-agent workflows using advanced techniques like graph-based RAG, rerankers, and retrievers
• Agentflow – a superset of the above, enabling multi-agent orchestrations, complex branching, loops, and hierarchical logic flows

Core features include:

• A visual builder with branching, looping, custom code, and logic routing
• Integration support for 100+ tools, vector databases, memories, and external services
• Observability via execution logs, visual debugging, and external log streaming
• Deployment options for self-hosted setups, air-gapped environments, and “Flowise Cloud” hosted solutions
• API, SDK, CLI support (including JavaScript/Python SDKs)
• Embedded chat widgets, template marketplace, reusable components
• Enterprise features like RBAC, SSO, encrypted credentials, rate limiting—and scalability for high throughput workloads

Development, Deployment & Hosting

Apache Airflow is a platform for programmatically authoring, scheduling, and monitoring data workflows. Pipelines are defined as Python code, giving teams the full flexibility of a programming language to create dynamic, parametrised workflows without the constraints of XML or graphical configuration tools. A built-in web interface provides real-time visibility into task status, logs, and execution history.

Key capabilities include a rich library of operators for integrating with major cloud providers (AWS, GCP, Azure) and third-party services, a modular message-queue architecture that allows worker capacity to scale horizontally, Jinja templating for dynamic pipeline parameters, and support for custom operators when the built-in integrations do not cover a use case.

Airflow is designed for data engineers, machine learning teams, and platform engineers who need a reliable, transparent, and highly extensible system for orchestrating complex multi-step pipelines — from ETL jobs and ML model training to infrastructure provisioning and scheduled reporting.

Kestra is an open-source orchestration and scheduling platform for building data pipelines, DevOps workflows, and business automation at scale. Workflows are defined in YAML (or via the built-in visual editor), and Kestra provides a rich plugin ecosystem with over 500 integrations covering databases, cloud providers, messaging systems, APIs, and scripting languages.

The platform supports both event-driven triggers and cron-based scheduling, with features like parallel task execution, dynamic inputs, error handling, retries, and sub-workflows. A real-time execution dashboard and detailed logs make it easy to monitor and debug complex pipelines. Kestra is designed for high availability and can scale horizontally for enterprise workloads.

Compared to Zapier or Make, Kestra is a developer and data-engineering tool: pipelines are code-first, version-controlled, and built for reliability rather than ease of use by non-technical users. It is self-hostable via Docker or Kubernetes and offers an enterprise cloud tier for teams that need managed infrastructure.

Trigger.dev is an open-source workflow orchestration platform built for developers who want to define automation in code, not in visual GUI editors. You write TypeScript tasks — background jobs, scheduled crons, event-driven pipelines, or long-running AI agents — and Trigger.dev handles the execution infrastructure: retries, timeouts, concurrency limits, real-time logging, and a dashboard for monitoring runs.

It integrates natively with Next.js, Remix, and other Node.js frameworks via an SDK, so you can trigger workflows directly from your API routes or webhooks. The platform also supports durable execution — if a task is interrupted mid-run, it resumes from where it left off rather than restarting from scratch. This makes it particularly well-suited for AI agent pipelines that call slow LLM APIs or perform multi-step operations.

Compared to Zapier or Make, Trigger.dev is squarely developer-first: workflows live in your codebase, are version-controlled, and are tested like any other code. It is self-hostable via Docker and also available as a managed cloud service.

Automatisch is a workflow automation platform that lets teams automate business processes without writing code, functioning as a self-hostable alternative to Zapier. Through a visual interface, users connect popular services — including GitHub, Discord, Firebase, PostgreSQL, Twilio, Typeform, and more — and define trigger-based workflows that run automatically.

Because Automatisch runs on your own infrastructure, all data stays within your environment. This makes it a strong fit for organisations in healthcare, finance, or other regulated industries that cannot rely on third-party cloud automation services. GDPR compliance is built in by design.

Automatisch is aimed at businesses and technical teams that want the productivity benefits of automation without vendor lock-in or the data-sovereignty concerns that come with hosted SaaS platforms.

Automa is a browser extension for Chrome and Firefox that lets you automate repetitive browser tasks by building visual workflows. You connect blocks — click, fill form, extract data, loop, condition, wait — in a drag-and-drop canvas, and Automa executes them in sequence. No code required, though JavaScript blocks are available for power users.

Use cases range from auto-filling forms and scraping data from websites, to scheduling recurring tasks and chaining multi-step workflows. Workflows can be triggered manually, on a schedule, or via keyboard shortcut. Extracted data can be exported to CSV, Google Sheets, or sent to a webhook.

Compared to Zapier or Make, Automa focuses specifically on browser-based automation — it lives in the browser, not on a server, so it can interact with any website you can open, including those without public APIs. For personal productivity and light web scraping without spinning up a headless browser service, Automa covers a lot of ground with minimal setup.