--- title: "activepieces vs trigger.dev" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/activepieces-activepieces-vs-triggerdotdev-trigger-dev" tools: ["activepieces-activepieces", "triggerdotdev-trigger-dev"] --- # activepieces vs trigger.dev *GraphCanon updated Aug 20, 2026* ## Verdict Pick activepieces if activePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs; pick trigger.dev if trigger.dev provides both cloud-managed and self-hosting options for deploying AI agents and workflows, with its platform built using TypeScript. [activepieces](https://www.activepieces.com) reports 24k GitHub stars, 4.1k forks, and 476 open issues, last pushed Aug 19, 2026. [trigger.dev](https://trigger.dev/changelog) has 16k stars, 1.4k forks, and 440 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [activepieces's repository](https://github.com/activepieces/activepieces) and [trigger.dev's repository](https://github.com/triggerdotdev/trigger.dev). | | [activepieces](/tools/activepieces-activepieces.md) | [trigger.dev](/tools/triggerdotdev-trigger-dev.md) | | --- | --- | --- | | Tagline | AI Agents & MCPs & AI Workflow Automation | Build and deploy fully-managed AI agents and workflows | | Stars | 23,903 | 16,070 | | Forks | 4,061 | 1,411 | | Open issues | 476 | 440 | | Language | TypeScript | TypeScript | | Adopt for | ActivePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs. | Trigger.dev provides both cloud-managed and self-hosting options for deploying AI agents and workflows, with its platform built using TypeScript. | | Persona | - | - | | Runtime | - | - | | License | ActivePieces offers its Community Edition under the MIT license promoting free and open distribution. However, enterprise features come with a Commercial License which restricts usage based on terms | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [activepieces](/tools/activepieces-activepieces.md) | [trigger.dev](/tools/triggerdotdev-trigger-dev.md) | | --- | --- | --- | | Open issues (now) | 476 | 440 | | Stars delta | +562 (30d) | +375 (30d) | | Open issues delta | +42 (30d) | +40 (30d) | | Full report | [trust report](/tools/activepieces-activepieces/trust.md) | [trust report](/tools/triggerdotdev-trigger-dev/trust.md) | ## Decision facts: activepieces - **Pricing:** commercial - The pricing details are not fully disclosed in the repository but can be accessed through their official site. - **Requirements:** While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required - **Adopt for:** ActivePieces is an open-source platform for building and managing AI-powered workflows and agents through MCP (Microservices Control Plane) servers, enabling advanced automation tailored to complex needs. - **License detail:** ActivePieces offers its Community Edition under the MIT license promoting free and open distribution. However, enterprise features come with a Commercial License which restricts usage based on terms ## Decision facts: trigger.dev - **Requirements:** Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge. - **Adopt for:** Trigger.dev provides both cloud-managed and self-hosting options for deploying AI agents and workflows, with its platform built using TypeScript. ## Choose when ### Choose activepieces if… - License: activepieces is Other, trigger.dev is Apache-2.0. - Pricing: The pricing details are not fully disclosed in the repository but can be accessed through their official site.. - Requirements: While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required. - Tags unique to activepieces: ai-agent, ai-agents-framework, mcp-server, n8n-alternative. - activepieces ships Docker support for self-hosted deployment. - - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents. ### Choose trigger.dev if… - License: trigger.dev is Apache-2.0, activepieces is Other. - Requirements: Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge.. - Tags unique to trigger.dev: ai-agents, automation, background-jobs, orchestration. - - **Custom Workflows**: If you need to implement complex, custom orchestrations involving different AI tasks that are well-defined and require scalability without managing infrastructure. ## When NOT to use activepieces - - If the project's scale is limited, as ActivePieces is designed with extensive scalability (up to ~400 MCP servers) potentially offering more firepower than necessary for small tasks. - - When absolute no-code solutions are preferred, since while ActivePieces aims at simplifying AI workflow automation, it does require some coding knowledge in TypeScript. ## When NOT to use trigger.dev - - **Minimal AI Workloads**: If your AI usage is minimal or sporadic, you might find the overhead of setting up tasks using the SDK to be unnecessary complexity. - - **Cloud Agnosticism**: Preferring a solution that abstracts away cloud-specific configurations, as Trigger.dev’s focus on cloud-managed services and self-hosting options may require more manual work - - **Non-TypeScript Ecosystems**: If your project is predominantly in languages other than TypeScript or JavaScript, the available tooling through SDK might not align closely with existing workflows. ## Common questions ### What is the difference between activepieces and trigger.dev? activepieces: AI Agents & MCPs & AI Workflow Automation. trigger.dev: Build and deploy fully-managed AI agents and workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose activepieces over trigger.dev? Choose activepieces over trigger.dev when License: activepieces is Other, trigger.dev is Apache-2.0; Pricing: The pricing details are not fully disclosed in the repository but can be accessed through their official site.; Requirements: While specific system requirements aren’t detailed, its capabilities suggest a substantial hardware investment for larger implementations. Docker isn't required; Tags unique to activepieces: ai-agent, ai-agents-framework, mcp-server, n8n-alternative; activepieces ships Docker support for self-hosted deployment; - You need a robust solution for managing up to ~400 MCP servers dedicated for AI agents. ### When should I choose trigger.dev over activepieces? Choose trigger.dev over activepieces when License: trigger.dev is Apache-2.0, activepieces is Other; Requirements: Min 4 GB RAM; Requires Docker; Self-hosting options are provided, but require Docker Compose or Kubernetes setup knowledge.; Tags unique to trigger.dev: ai-agents, automation, background-jobs, orchestration; - **Custom Workflows**: If you need to implement complex, custom orchestrations involving different AI tasks that are well-defined and require scalability without managing infrastructure. ### When should I avoid activepieces? - If the project's scale is limited, as ActivePieces is designed with extensive scalability (up to ~400 MCP servers) potentially offering more firepower than necessary for small tasks. - When absolute no-code solutions are preferred, since while ActivePieces aims at simplifying AI workflow automation, it does require some coding knowledge in TypeScript. ### When should I avoid trigger.dev? - **Minimal AI Workloads**: If your AI usage is minimal or sporadic, you might find the overhead of setting up tasks using the SDK to be unnecessary complexity. - **Cloud Agnosticism**: Preferring a solution that abstracts away cloud-specific configurations, as Trigger.dev’s focus on cloud-managed services and self-hosting options may require more manual work - **Non-TypeScript Ecosystems**: If your project is predominantly in languages other than TypeScript or JavaScript, the available tooling through SDK might not align closely with existing workflows. ### Is activepieces or trigger.dev more popular on GitHub? activepieces has more GitHub stars (23,903 vs 16,070). Stars measure visibility, not whether either tool fits your constraints. ### Are activepieces and trigger.dev open source? Yes - both are open-source projects on GitHub (activepieces: Other, trigger.dev: Apache-2.0). ### Where can I find alternatives to activepieces or trigger.dev? GraphCanon lists graph-backed alternatives at [activepieces alternatives](/tools/activepieces-activepieces/alternatives) and [trigger.dev alternatives](/tools/triggerdotdev-trigger-dev/alternatives) ([activepieces markdown twin](/tools/activepieces-activepieces/alternatives.md), [trigger.dev markdown twin](/tools/triggerdotdev-trigger-dev/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/activepieces-activepieces-vs-triggerdotdev-trigger-dev.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, activepieces or trigger.dev? activepieces: Very active. trigger.dev: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for activepieces and trigger.dev? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [activepieces trust report](/tools/activepieces-activepieces/trust); [trigger.dev trust report](/tools/triggerdotdev-trigger-dev/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=activepieces-activepieces`](/api/graphcanon/graph?tool=activepieces-activepieces) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_