# Activepieces vs Tines

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Tines records 273,260 monthly visits with +24.4% growth and Freemium, Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Tines](https://openaitools.app/tool/tines) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://tines.com |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Workflow, No-Code&Low-Code, AI Agent, AI Copilot |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 258,553 | 273,260 |
| MoM Growth Rate | +1.5% | +24.4% |
| Primary Market | United States | United States |
| Direct Visits | 111,328 | 164,559 |
| Review Score | 4.6 | 4.7 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Activepieces

Activepieces is an AI-first automation platform built around the idea that a team's agents and its people should share one workspace. At the center are AI agents: you describe a job in plain words and the agent works out the steps, the order and which tools to open across your connected apps and any MCP server you point it at. Sensitive steps can be gated behind human approval, so money, customer and production actions stay under control.

Underneath the agent layer sits a mature workflow engine with a visual builder. Chat can draft most of a flow, while branching, retries, waitpoints, subflows, error handling and human approvals handle the hard cases. Where a step needs real logic, you can drop into inline TypeScript and keep the rest visual. Chat, Tables (a lightweight structured data layer), a knowledge base and an MCP server round out the platform so agents and teammates operate on the same data.

The project is open source at its core, with hundreds of contributors maintaining MIT-licensed app pieces, and it deploys flexibly: Activepieces Cloud, your own Docker or Kubernetes infrastructure, or a fully air-gapped install. Enterprise controls include projects and access roles, SSO via Okta or Entra, secret managers such as HashiCorp Vault, audit logs streamed to your SIEM, and bring-your-own AI model keys from Anthropic, OpenAI, AWS Bedrock or Google Gemini.

**Pricing & Plans:** 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.

- **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.
- **Enterprise deployment and governance:** Run on the managed cloud, your Docker/Kubernetes stack or air-gapped, with projects, SSO, role-based access, secret managers, audit logs and bring-your-own AI keys.

**Strengths:** 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

**Limitations:** The breadth of agents, tables, flows and MCP features can overwhelm new users; Some advanced enterprise capabilities are reserved for paid and self-managed plans; Self-hosting means you own upgrades, scaling and reliability

[Profile (Markdown)](https://openaitools.app/tool/activepieces.md)

## Tines

Tines began as a workflow automation platform beloved by security operations teams, and it has grown into something broader: a governed environment where any department can turn an idea into working software. Rather than scattering scripts, RPA bots and half-finished automations across the business, Tines gives everyone a shared workspace with the guardrails IT needs, so more people can build without creating new blind spots.

The current generation of the product centers on AI. A coding harness lets builders describe an outcome and then iterate on it with an assistant, while agents can act autonomously inside workflows and interact with people when a decision is needed. Tines deliberately treats AI as something to trust less rather than more: models run in isolated execution with scoped credentials, and every model, tool and piece of infrastructure remains the customer's choice, including bringing your own model and keeping ownership of your code.

Operationally, Tines covers the full lifecycle. Storyboards provide a visual builder for complex logic, Workbench acts as an AI copilot inside the platform, Cases adds integrated incident and case management, and Monitoring surfaces what is live, who is accountable and where performance is drifting. The platform is used across IT, security, finance, people, RevOps, legal and public sector teams, with named customers including Coinbase, Databricks, Reddit, Snowflake, Dropbox, Canva and Sophos.

**Pricing & Plans:** Tines offers a free edition for experimentation (unlimited users, spaces and connectors, three live workflows and a one-time $50 AI allowance) plus paid editions with unlimited workflows, flexible deployment options and bring-your-own-model support. Paid pricing is quoted by the sales team, and flexible hosting options are available on request.

- **Visual Storyboard builder:** Assemble complex logic from drag-and-drop actions, branches and loops, connecting hundreds of prebuilt integrations and public or private HTTP requests without writing a full application.
- **AI agents and coding harness:** Describe the software you want in natural language and refine it with an AI assistant, then let agents run autonomously inside workflows and hand off to a human when a judgment call is required.
- **Governed credentials and permissions:** Secrets stay protected and scoped, execution is isolated, and IT defines who can build, deploy and access what, so enabling more builders does not create new exposure.
- **Workbench AI copilot:** Get assistance inside the platform for building, troubleshooting and improving workflows, backed by the choice of model and infrastructure that fits your organization.
- **Cases, monitoring and continuous improvement:** Integrated case and incident management sits alongside dashboards that show what is running, who owns it and where value is created; Tines also proposes tested fixes for software that needs to improve.

**Strengths:** One governed environment instead of scattered scripts, bots and shadow automations; Strong fit for security-minded enterprises that need credentials, permissions and audit visibility; Generous free edition for prototyping, with unlimited users, spaces and connectors; Any model, any infrastructure, and you keep ownership of the code you build

**Limitations:** Paid pricing is quote-based, so budgeting requires talking to sales; The breadth of the platform means a real learning curve for new builders; Advanced capabilities such as agent autonomy and cases are best suited to organizations with defined governance processes; Enterprise-grade features can feel heavyweight for very small teams

[Profile (Markdown)](https://openaitools.app/tool/tines.md)

## Frequently Asked Questions

### How do Activepieces and Tines compare in monthly traffic?

Activepieces has 258,553 monthly visits, while Tines has 273,260. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Activepieces has a month-over-month growth rate of +1.5%; Tines has +24.4%.

### 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. Tines: Freemium, Contact for Pricing. Tines offers a free edition for experimentation (unlimited users, spaces and connectors, three live workflows and a one-time $50 AI allowance) plus paid editions with unlimited workflows, flexible deployment options and bring-your-own-model support. Paid pricing is quoted by the sales team, and flexible hosting options are available on request.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Extensive app integration library for general automations, but less tailored specifically for advanced enterprise AI agent orchestration. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Powerful open-source workflow automation with robust self-hosting options, but requires more technical setup than Tines. | [.md](https://openaitools.app/tool/n8n.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Enables quick visual creation of custom AI agents, though heavier enterprise workflow governance is less comprehensive. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Excellent open-source canvas for building RAG pipelines and LLM apps, though less focused on rigorous enterprise security operations. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Intuitive no-code platform combining web scraping and AI agents, though enterprise compliance controls are less robust. | [.md](https://openaitools.app/tool/gumloop.md) |
| 7 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Specializes in building multi-agent workforces easily, but lacks the deep infrastructure-level security governance of Tines. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 8 | [FlowHunt](https://openaitools.app/tool/flowhunt-io) | 186,190 | 0% | Free Trial, Paid | Specializes in building conversational chatbots and agentic pipelines visually, but lacks broad traditional connector depth. | [.md](https://openaitools.app/tool/flowhunt-io.md) |
| 9 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Strong multi-channel publishing capabilities for AI agents, but less comprehensive for multi-step backend data pipelines. | [.md](https://openaitools.app/tool/coze.md) |
| 10 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Enterprise agentic AI platform for service, workforce and process automation | [.md](https://openaitools.app/tool/kore-ai.md) |

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Source: https://openaitools.app/compare/activepieces-vs-tines

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)
