How do their growth rates compare?

Activepieces has a month-over-month growth rate of +1.5%; Superlog has -75.2%.

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. Superlog: Freemium, Paid, Contact for Pricing, Free. Free tier at $0/month including a $5 one-time Superlog AI grant and 2 cloud machine hours. Pro is $100/month (50 machine hours, up to 3 concurrent machines), Team is $200/month (unlimited seats, 500 machine hours, up to 10 machines, shared workspaces), and Enterprise is custom with SSO/SAML, audit logs, and a support SLA. Telemetry is billed per event: every plan includes 1M spans, 5M logs, and 10M metric points monthly, then $0.60 per million spans, $0.50 per million logs, and $0.20 per million metric points, with 30-day retention.

What are alternatives to Activepieces and Superlog?

Other tools in related categories include Cursor, Datadog, Zapier, n8n, Command Code.

Activepieces vs Superlog — Traffic (258.55K vs 1.31K), Pricing & Verdict

Open AI Tools

Activepieces vs Superlog — Traffic (258.55K vs 1.31K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Activepieces	Superlog
Official Domain	activepieces.com	superlog.sh
Pricing Model	Freemium	Freemium, Paid, Contact for Pricing, Free
Monthly Visits	258.55K (258,553)	1.31K (1,313)
MoM Traffic Delta	+3.87K (+1.5%)	-3.98K (-75.2%)
Primary Market & Share	🇺🇸 United States (14.1%)	🌐 Global (—)
Direct Visits / mo	111.33K	507
User Rating	4.6	4.3
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