# Activepieces vs Ballet

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Ballet records 0 monthly visits with -100% growth and Freemium pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Ballet](https://openaitools.app/tool/ballet) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://www.ballet.dev |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Workflow |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 258,553 | 0 |
| MoM Growth Rate | +1.5% | -100% |
| Primary Market | United States | Global |
| Direct Visits | 111,328 | 0 |
| Review Score | 4.6 | 4.2 |
| 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)

## Ballet

Ballet targets the teams that spend their days moving data between CRM, support, billing and communication tools. Instead of mapping fields by hand or buying a separate connector for every system, an operator writes a short description of the process — for example, drafting a closed-won handover from the last sales call and posting it to the account owner. Ballet turns that description into a multi-step playbook with triggers, integration calls, AI drafting steps and human approval gates.

The platform supports connectors for services such as Salesforce, HubSpot, Gong, Slack, Zendesk and Notion, and can also call MCP servers or any API. When a service has no existing connector, Ballet writes the integration as part of the build, which removes one of the biggest blockers for automation programmes. Runs can be triggered on demand, on a schedule or from a webhook, and can also be invoked from the Chrome extension, the Claude connector or the Slack agent so work starts where the user already is.

A distinguishing design choice is the split between fixed rules and AI. Steps that must be exact run as deterministic code, while model-driven steps are reserved for judgement-heavy work like summarising a call or drafting a reply. Every run is logged with what each step read, what it changed, and how long it took, which gives operations teams an audit trail they can trust. Ballet also includes a reporting layer that answers ad-hoc customer questions across multiple systems without a separate BI project.

**Pricing & Plans:** Ballet offers a free trial and a demo-led sales process, with an Enterprise tier for larger organisations. Consumption is metered in credits, where each playbook run consumes credits based on the steps involved. Consult the vendor's pricing page for current plan details.

- **Natural-language playbook composer:** Describe a workflow in everyday language and Ballet returns an editable, step-by-step plan with triggers, inputs and approvals before anything goes live.
- **Deep integration coverage:** Ships connectors for CRM, support, billing and messaging tools, and can write a custom integration for services that have no connector or only an API.
- **Rules plus AI, deliberately separated:** Deterministic steps handle work that must be exact, while AI steps handle judgement calls such as drafting from a transcript or summarising a thread.
- **Run anywhere, with full audit trail:** Trigger runs from schedules, webhooks, Chrome, Claude or Slack, and inspect exactly what each step read, changed and how long it took.
- **Built-in reporting layer:** Ask cross-system questions in plain English and get a shareable report assembled from CRM, call, support and billing data.

**Strengths:** Workflows are described in plain English, so business teams can build automations without writing code; Handles services that have no pre-built connector by generating the integration during the build; Fixed rules and AI steps are clearly separated, making behaviour predictable across repeated runs; Runs can be launched from Chrome, Claude or Slack, so automation stays close to daily work

**Limitations:** Pricing is quote-oriented for larger teams, so cost is harder to estimate up front than per-seat tools; The platform is aimed at multi-system operations work, which is overkill for simple single-app automations; Value depends on connecting several business systems first, which requires an initial setup effort

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while Ballet has 0. 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%; Ballet has -100%.

### 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. Ballet: Freemium. Ballet offers a free trial and a demo-led sales process, with an Enterprise tier for larger organisations. Consumption is metered in credits, where each playbook run consumes credits based on the steps involved. Consult the vendor's pricing page for current plan details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Streamlined interface for deploying custom AI agents, but less flexible for traditional data integration pipelines. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 4 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Stronger focus on RAG knowledge bases and LLM application development, but less general business automation. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 5 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 6 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | A secure environment where teams build, deploy and govern AI agents, apps and automations | [.md](https://openaitools.app/tool/tines.md) |
| 7 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | No-code AI agents and agent teams for real business workflows | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 8 | [Moxo](https://openaitools.app/tool/moxo) | 187,716 | -24% | Contact Sales | Human-AI workflow automation for business operations | [.md](https://openaitools.app/tool/moxo.md) |
| 9 | [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) |
| 10 | [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) |

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

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