Activepieces vs Dify
In short
Activepieces vs Dify: both are productivity tools on Scriptiii AI Tools. Activepieces pricing: Free. Free to use. (reported by the maker) Dify pricing: Freemium. Free tier with paid upgrades. (reported by the maker) Both have 0 upvotes.
- Activepieces
- Free. Free to use. (reported by the maker)
- Dify
- Freemium. Free tier with paid upgrades. (reported by the maker)
- Upvotes
- 0 vs 0
| Field | Activepieces | Dify |
|---|---|---|
| Page | Activepieces | Dify |
| Pricing (maker-reported) | Free. Free to use. | Freemium. Free tier with paid upgrades. |
| Upvotes | 0 | 0 |
| Best for | ai-agents, tool, workflow-automation | ai-agents, tool, workflow-automation |
| Tagline | Open-source workflow automation platform with AI agents and MCP support. | Platform for building agentic workflows and RAG pipelines, self-hosted or in the cloud. |
| Website | Visit Activepieces | Visit Dify |
Pricing and pricing details come from the maker's submission. They are not independently verified.
Activepieces
An open source replacement for Zapier
DocumentationΒ Β Β πͺοΈΒ Β Β Create a PieceΒ Β Β πΒ Β Β DeployΒ Β Β π₯Β Β Β Join Discord
π€― Welcome to Activepieces
All-in-one AI automation designed to be extensible through a type-safe pieces framework written in TypeScript.
When you contribute pieces to Activepieces they become automatically available as MCP servers that you can use with LLMs through Claude Desktop, Cursor or Windsurf!
π₯ Why Activepieces is Different:
- π Loved by Everyone: Intuitive interface and great experience for both technical and non-technical users with a quick learning curve.
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π Open Ecosystem: All pieces are open source and available on npmjs.com, 60% of the pieces are contributed by the community.
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π οΈ Largest open source MCP toolkit: All our pieces (280+) are available as MCP that you can use with LLMs on Claude Desktop, Cursor or Windsurf.
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π οΈ Pieces are written in Typescript: Pieces are npm packages in TypeScript, offering full customization with the best developer experience, including hot reloading for local piece development on your machine. π
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π€ AI-First: Native AI pieces let you experiment with various providers, or create your own agents using our AI SDK to help you build flows inside the builder.
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π’ Enterprise-Ready: Developers set up the tools, and anyone in the organization can use the no-code builder. Full customization from branding to control.
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π Secure by Design: Self-hosted and network-gapped for maximum security and control over your data.
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π§ Human in the Loop: Delay execution for a period of time or require approval. These are just pieces built on top of the piece framework, and you can build many pieces like that. π¨
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π» Human Input Interfaces: Built-in support for human input triggers like "Chat Interface" π¬ and "Form Interface" π
π οΈ Builder Features:
- Loops
- Branches
- Auto Retries
- HTTP
- Code with NPM
- ASK AI in Code Piece (Non technical user can clean data without knowing to code)
- Flows are fully versioned.
- Languages Translations
- Customizable Templates
- 200+ Pieces, check https://www.activepieces.com/pieces
We release updates frequently. Check the product changelog for the latest features.
π Create Your Own Piece
Activepieces supports integrations with Google Sheets, OpenAI, Discord, RSS, and over 200 other services. Check out the full list of supported integrations, which is constantly expanding thanks to our community's contributions.
As an open ecosystem, all integration source code is accessible in our repository. These integrations are versioned and published directly to npmjs.com upon contribution.
You can easily create your own integration using our TypeScript framework. For detailed instructions, please refer to our Contributor's Guide.
License
Activepieces' Community Edition is released as open source under the MIT license and enterprise features are released under Commercial License
Read more about the feature comparison here https://www.activepieces.com/pricing
π Join Our Community
π Contributions
We welcome contributions big or small and in different directions. The best way to do this is to check this document and we are always up to talk on our Discord Server.
π Translations
Not into coding but still interested in contributing? Come join our Discord and visit https://www.activepieces.com/docs/about/i18n for more information.
𦫠Contributors
![[NULL] Dev](https://avatars.githubusercontent.com/u/66683380?v=4?s=100)
This project follows the all-contributors specification.
Contributions of any kind are welcome!
Dify
Dify Cloud Β· Self-hosting Β· Documentation Β· Dify edition overview
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Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features:
Quick start
Before installing Dify, make sure your machine meets the following minimum system requirements:
- CPU >= 2 Core
- RAM >= 4 GiB
The easiest way to start the Dify server is through Docker Compose. Install Docker with a running daemon, Docker Compose v2.35.0 or later, and OpenSSL.
For a new deployment, run the following commands from the repository root. For an existing deployment, preserve your .env and follow the upgrade guidance.
cd docker
cp .env.example .env
openssl rand -hex 32
Open .env and set DIFY_AGENT_LOCAL_SANDBOX_AUTH_TOKEN to the generated value. Keep the default COMPOSE_PROFILES value for the bundled services. Service defaults load automatically; no additional configuration files are required.
From the same docker directory, start the services:
docker compose up -d
docker compose ps --all
Once the services are running, open http://localhost/install to complete the initial setup. The one-time init_permissions service is expected to exit with code 0.
For optional settings and service overrides, see the Docker deployment guide.
Seeking help
Please refer to our FAQ if you encounter problems setting up Dify. Reach out to the community and us if you are still having issues.
If you'd like to contribute to Dify or do additional development, refer to our guide to deploying from source code
Key features
1. Workflow:
Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
2. Comprehensive model support:
Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found here.
3. Prompt IDE:
Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.
4. RAG Pipeline:
Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
5. Agent: Autonomous agents with a sandbox of their own: they run commands, install software, and handle files to get open-ended tasks done. Describe the agent you want and it builds itself. Give it skills, connect tools from Dify Marketplace, MCP servers, or your own APIs, and put it to work as a chat app or as a step in any workflow.
6. LLMOps:
Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
7. Backend-as-a-Service:
All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
Using Dify
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Cloud
We host Dify Cloud so you can try Dify without managing a server. See the pricing page for current plans and usage allowances. If you run into issues, contact our Cloud support team. -
Self-hosting Dify Community Edition
Quickly get Dify running in your environment with this starter guide.
Use our documentation for further references and more in-depth instructions. -
Dify Enterprise
For organizations requiring self-hosting, SSO, RBAC Security and Enterprise Support SLAs, please fill out this form to speak to a solution representative.
Staying ahead
Star Dify on GitHub and be instantly notified of new releases.
Advanced Setup
For custom configuration, observability, and deployment options, see Advanced Setup.
Contributing
Dify welcomes contributions of all kinds:
- Code: Read the Contribution Guide, then browse good first issues.
- Ideas and feedback: Start or join a GitHub Discussion.
- Translations: Follow the internationalization guide to add or update a locale.
- Community: Share the apps you build, help other users, and spread the word about Dify.
Contributors
Community & contact
Choose the channel that best fits your question:
- GitHub Discussions: Get help, share feedback, and propose ideas.
- GitHub Issues: Report reproducible bugs and track engineering work. Read the Contribution Guide before opening one.
- Discord: Chat in real time, share your apps, and connect with other Dify users.
- X: Follow Dify for release news and project updates.
Star History
Security disclosure
Report vulnerabilities privately through GitHub Security Advisories, following our security policy. Do not disclose them in public issues, discussions, or pull requests.
License
This repository is licensed under the Dify Open Source License, based on Apache 2.0 with additional conditions.
Questions
- How do Activepieces and Dify differ on price?
- Activepieces is Free. Free to use. (reported by the maker) Dify is Freemium. Free tier with paid upgrades. (reported by the maker)
- Which has more upvotes, Activepieces or Dify?
- Both have 0 upvotes.
- What does each maker say Activepieces and Dify are for?
- Activepieces: Open-source workflow automation platform with AI agents and MCP support. Dify: Platform for building agentic workflows and RAG pipelines, self-hosted or in the cloud.
Activepieces alternativesΒ·Dify alternativesΒ·All productivity tools