# Activepieces vs YepCode

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. YepCode records 13,298 monthly visits with +24.3% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [YepCode](https://openaitools.app/tool/yepcode) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://yepcode.io |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Developer Tools, AI API, AI Agent, AI Workflow |
| Pricing Model | Freemium | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 258,553 | 13,298 |
| MoM Growth Rate | +1.5% | +24.3% |
| Primary Market | United States | United States |
| Direct Visits | 111,328 | 5,199 |
| 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)

## YepCode

YepCode targets developers who need real integrations rather than drag-and-drop automation. Instead of chaining pre-built connectors, you write Node.js or Python code that calls any API, database or cloud service, and YepCode handles the runtime: isolated sandboxes with CPU and memory limits, on-demand dependency installation from NPM and PyPI, encrypted secrets, structured logs and an audit trail of every change. Processes run against versions and aliases, so you can push, test and promote changes predictably.

The platform is equally usable as a service. Every process can be triggered on demand, on a cron schedule, from a webhook, via a form, or programmatically through the REST API and the YepCode SDK and CLI. Teams typically reach for it when they have outgrown Zapier or Make but do not want to stand up and maintain their own job-running infrastructure. The vendor reports that early teams cut time-to-deploy substantially compared with building the plumbing themselves.

Because each execution is isolated and auditable, YepCode is a common wrapper for AI-generated code: a model can propose a script, and the platform runs it with scoped credentials and full logging. The MCP server pushes this further, exposing any process as a tool an LLM agent can call, plus a built-in run_code tool for direct execution. Compliance features include SOC 2 and GDPR alignment, on-premise or private-cloud deployment, identity provider federation and external log and metrics streaming. Note that the site currently states YepCode is not taking on new customers.

**Pricing & Plans:** Freemium plus paid tiers and enterprise pricing. The free Developer plan includes 50K Yeps (seconds of execution), 300 executions per day, 30-second maximum runtime, one concurrent execution and a single team member. Starter and Growth are usage-based monthly plans at 15M and 150M Yeps with longer runtimes and more concurrency. Enterprise is quoted per company with customizable sandboxes, full on-premise deployment and custom SLAs. Yeps do not roll over between months.

- **Code-first integrations:** Write Node.js or Python in the web editor, the CLI or your IDE, push changes, version them with aliases and sync with a Git repository.
- **Secure isolated sandboxes:** Each process runs in an isolated container with strict boundaries; secrets are encrypted, access is logged and every change is auditable.
- **Automatic dependency management:** Import any NPM or PyPI package directly - the platform installs dependencies on demand, so there is no environment setup to maintain.
- **Multiple execution triggers:** Trigger processes on demand, on a cron schedule, from a form or webhook, or programmatically through the REST API and SDK.
- **MCP server for AI agents:** Any process can be published as an MCP tool, and a built-in run_code tool lets agents execute code safely against your systems.
- **Enterprise-grade controls:** SOC 2 and GDPR compliant, with on-premise or private-cloud deployment, identity provider integration, external log streaming and custom SLAs.

**Strengths:** Lets developers use any API, database or service with real code instead of rigid connectors; Dependencies, secrets, logs and audit trails are handled by the platform; Multiple trigger types cover on-demand, scheduled, webhook and API runs; MCP server exposes processes as tools for LLM agents

**Limitations:** Not accepting new customers at this time, which blocks new signups; Unlimited concurrency and audit modules sit on higher-priced tiers; Yeps are execution seconds and do not roll over month to month; On-premise deployments require the Enterprise plan

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while YepCode has 13,298. 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%; YepCode has +24.3%.

### 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. YepCode: Freemium, Paid, Contact for Pricing. Freemium plus paid tiers and enterprise pricing. The free Developer plan includes 50K Yeps (seconds of execution), 300 executions per day, 30-second maximum runtime, one concurrent execution and a single team member. Starter and Growth are usage-based monthly plans at 15M and 150M Yeps with longer runtimes and more concurrency. Enterprise is quoted per company with customizable sandboxes, full on-premise deployment and custom SLAs. Yeps do not roll over between months.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.md](https://openaitools.app/tool/apify.md) |
| 6 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 7 | [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) |
| 8 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.md) |
| 9 | [Convex](https://openaitools.app/tool/convex) | 390,417 | -18.7% | Freemium, Paid | Reactive TypeScript backend with database, functions and AI gateway | [.md](https://openaitools.app/tool/convex.md) |
| 10 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations. | [.md](https://openaitools.app/tool/gumloop.md) |

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

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