Langflow vs n8n
Comparing two open source alternatives to Make and Zapier. Use the comparison below to decide which one fits your needs.
Langflow
MITVisually build and deploy AI agents and workflows in Python, with built-in API and MCP servers. MIT-licensed and backed by DataStax.
n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Side-by-side comparison
| Langflow | n8n | |
|---|---|---|
| License | MIT | — |
| Self-hostable | Yes | Yes |
| GitHub Stars | 155,490 | 206,930 |
| Forks | 10,203 | 61,051 |
| Open Issues | 1,148 | 1,174 |
| Last Commit | Oct 11, 2026 | Oct 10, 2026 |
| First Released | Feb 8, 2023 | Jun 22, 2019 |
| Categories | ||
| Tags |
GitHub stars over time
GitHub stars over time
Similar open source alternatives
Kestra
Event-driven workflow orchestration platform with a YAML-based pipeline DSL, 500+ plugins, and a built-in UI editor.
Zapier
Sim
Sim is an open-source workspace to build, deploy, and orchestrate AI agents and agentic workflows. Visually connect LLMs, tools, and data sources without giving up control.
Lindy AI
Flowise
Open source, drag-and-drop builder for AI agents and LLM workflows. Now archived (EOL Aug 2026) — the Apache 2.0 code lives on for forks and self-hosters.
Make
Trigger.dev
Open-source platform for building and deploying reliable background jobs, scheduled tasks, and AI workflows in TypeScript.
Zapier
Tale
Open-source workspace where teams and AI agents plan tasks, run them in sandboxes, and review results together.
Lindy AI
Apache Airflow
Apache Airflow is a platform to programmatically author, schedule, and monitor complex workflows. Build pipelines as code and orchestrate your data jobs with rich observability.
Zapier