How do their growth rates compare?

Activepieces has a month-over-month growth rate of +1.5%; Dagster has -18.5%.

How does pricing compare?

Activepieces: Freemium. Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure. Dagster: Free Trial, Paid, Contact for Pricing. Freemium and open source. The core orchestration framework is free and self-hostable under an open-source licence, and there is a free entry tier for Dagster+. Paid team and business plans scale with usage, while enterprise deployments — branch deployments, hybrid compute, governance and SSO — are quoted through sales.

What are alternatives to Activepieces and Dagster?

Other tools in related categories include Zapier, n8n, MindStudio, Dify, Labelbox.

Activepieces vs Dagster — Traffic (258.55K vs 105.56K), Pricing & Verdict

Open AI Tools

Activepieces vs Dagster — Traffic (258.55K vs 105.56K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Activepieces	Dagster
Official Domain	activepieces.com	dagster.io
Pricing Model	Freemium	Free Trial, Paid, Contact for Pricing
Monthly Visits	258.55K (258,553)	105.56K (105,563)
MoM Traffic Delta	+3.87K (+1.5%)	-24K (-18.5%)
Primary Market & Share	🇺🇸 United States (14.1%)	🇨🇳 China (19.6%)
Direct Visits / mo	111.33K	25.74K
User Rating	4.6	4.4
Supported Platforms	Website	Website

Activepieces

Open-source AI automation that unifies agents, flows and 770+ app integrations

AI agents from plain language

Describe a task in everyday words and the agent determines the steps, chooses tools from your connected apps and MCP servers, and pauses for approval on sensitive actions.

Visual flow builder with inline TypeScript

Build automations on a canvas with branching, retries, waitpoints, subflows and error handling, then write inline TypeScript for the steps that need real code.

770+ open-source app connectors

Every piece is MIT-licensed and community-built, covering the apps you already run, with an HTTP piece for any REST or GraphQL endpoint with auth and pagination handled.

Chat, Tables and knowledge base

Draft flows by chatting, store structured data in Tables that flows and agents can read and write, and keep internal documents searchable by every agent.

Strengths & Pros

+Open-source core with MIT-licensed pieces and a genuinely self-hostable build
+Strong blend of AI agents, a visual builder and inline TypeScript
+Enterprise-grade controls including SSO, roles, secret managers and audit streaming
+Large connector library plus an HTTP piece for anything not covered