Activepieces vs Langflow
In short
Activepieces vs Langflow: both are productivity tools on Scriptiii AI Tools. Activepieces pricing: Free. Free to use. (reported by the maker) Langflow pricing: Free. Free to use. (reported by the maker) Both have 0 upvotes.
- Activepieces
- Free. Free to use. (reported by the maker)
- Langflow
- Free. Free to use. (reported by the maker)
- Upvotes
- 0 vs 0
| Field | Activepieces | Langflow |
|---|---|---|
| Page | Activepieces | Langflow |
| Pricing (maker-reported) | Free. Free to use. | Free. Free to use. |
| 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. | Low-code visual builder for AI agents and RAG workflows. |
| Website | Visit Activepieces | Visit Langflow |
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!
Langflow
Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.
β¨ Highlight features
- Visual builder interface to quickly get started and iterate.
- Source code access lets you customize any component using Python.
- Interactive playground to immediately test and refine your flows with step-by-step control.
- Multi-agent orchestration with conversation management and retrieval.
- Deploy as an API or export as JSON for Python apps.
- Deploy as an MCP server and turn your flows into tools for MCP clients.
- Observability with LangSmith, LangFuse and other integrations.
- Enterprise-ready security and scalability.
π₯οΈ Langflow Desktop
Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually.
Available for Windows and macOS.
π₯ Download Langflow Desktop
β‘οΈ Quickstart
Install locally (recommended)
Requires Python 3.10β3.14 and uv (recommended package manager).
Install
From a fresh directory, run:
uv pip install langflow -U
The latest Langflow package is installed.
For more information, see Install and run the Langflow OSS Python package.
Run
Official release packages and tagged source archives disable automatic login by default. Set LANGFLOW_SUPERUSER_PASSWORD before starting Langflow, then sign in with the username langflow (or your configured LANGFLOW_SUPERUSER). Development branches retain automatic login by default. See authentication configuration.
To start Langflow, run:
uv run langflow run
Langflow starts at http://127.0.0.1:7860.
That's it! You're ready to build with Langflow! π
π¦ Other install options
Run from source
If you've cloned this repository and want to contribute, run this command from the repository root:
make run_cli
For more information, see DEVELOPMENT.md.
Docker
Set and export a strong password before starting the container (Bash):
read -rsp "Langflow administrator password: " LANGFLOW_SUPERUSER_PASSWORD; echo
export LANGFLOW_SUPERUSER_PASSWORD
docker run -p 7860:7860 -e LANGFLOW_SUPERUSER_PASSWORD langflowai/langflow:latest
Langflow is available at http://localhost:7860/. Sign in as langflow with the password you entered. Official Docker images require authentication by default.
If you already have an auto-login installation, follow the upgrade instructions before switching defaults.
For configuration options, see the Docker deployment guide.
π‘οΈ Security
For security information, see our Security Policy.
π Deployment
Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.
β Stay up-to-date
Star Langflow on GitHub to be instantly notified of new releases.
π Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.
β€οΈ Contributors
Questions
- Do Activepieces and Langflow list the same price?
- Both listings report Free. Free to use. Pricing is reported by the maker and is not independently verified.
- Which has more upvotes, Activepieces or Langflow?
- Both have 0 upvotes.
- What does each maker say Activepieces and Langflow are for?
- Activepieces: Open-source workflow automation platform with AI agents and MCP support. Langflow: Low-code visual builder for AI agents and RAG workflows.
Activepieces alternativesΒ·Langflow alternativesΒ·All productivity tools