--- title: "langflow vs RasaGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langflow-ai-langflow-vs-paulpierre-rasagpt" tools: ["langflow-ai-langflow", "paulpierre-rasagpt"] --- # langflow vs RasaGPT *GraphCanon updated Aug 8, 2026* ## Verdict Pick langflow if langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems; pick RasaGPT if rasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex. [langflow](http://www.langflow.org) reports 153k GitHub stars, 9.7k forks, and 972 open issues, last pushed Aug 2, 2026. [RasaGPT](https://rasagpt.dev) has 2.5k stars, 250 forks, and 57 open issues, last pushed Nov 12, 2025. Figures are from public GitHub metadata via [langflow's repository](https://github.com/langflow-ai/langflow) and [RasaGPT's repository](https://github.com/paulpierre/RasaGPT). | | [langflow](/tools/langflow-ai-langflow.md) | [RasaGPT](/tools/paulpierre-rasagpt.md) | | --- | --- | --- | | Tagline | Tool for building and deploying AI-powered agents and workflows | First headless LLM chatbot platform built on top of Rasa and Langchain | | Stars | 152,744 | 2,464 | | Forks | 9,747 | 250 | | Open issues | 972 | 57 | | Language | Python | Python | | Adopt for | Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems. | RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Model Training | AI Agents, Inference & Serving, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langflow](/tools/langflow-ai-langflow.md) | [RasaGPT](/tools/paulpierre-rasagpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 268d | | Open issues (now) | 972 | 57 | | Owner type | Organization | User | | Full report | [trust report](/tools/langflow-ai-langflow/trust.md) | [trust report](/tools/paulpierre-rasagpt/trust.md) | ## Shared compatibility - **Python**: [langflow](/tools/langflow-ai-langflow.md) - Python runtime; [RasaGPT](/tools/paulpierre-rasagpt.md) - Python runtime ## Decision facts: langflow - **Pricing:** freemium - Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings. - **Adopt for:** Langflow is a Python-based tool for building and deploying AI workflows using large language models and agent systems. ## Decision facts: RasaGPT - **Adopt for:** RasaGPT is a pioneering headless chatbot platform that merges Rasa with technologies like FastAPI, Langchain, and LlamaIndex. ## Choose when ### Choose langflow if… - Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.. - Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.. - Tags unique to langflow: agents, chatgpt, generative-ai, large language models. - Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool. ### Choose RasaGPT if… - Tags unique to RasaGPT: ai, chatbot, fastapi, langchain. - Also covers Inference & Serving. - RasaGPT ships Docker support for self-hosted deployment. - When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem. ## When NOT to use langflow - Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. - Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality. ## When NOT to use RasaGPT - For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions. - Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture. ## Common questions ### What is the difference between langflow and RasaGPT? langflow: Tool for building and deploying AI-powered agents and workflows. RasaGPT: First headless LLM chatbot platform built on top of Rasa and Langchain. See the comparison table for live GitHub stats and shared categories. ### When should I choose langflow over RasaGPT? Choose langflow over RasaGPT when Pricing: Open-source under MIT license with community and commercial options available; the OSS version is free to use at your own risk.; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.10–3.14, the recommended uv package manager is beneficial but not explicitly required for installation.; Docker can be used to start a Langflow container with default settings.; Tags unique to langflow: agents, chatgpt, generative-ai, large language models; Use Langflow if you are working with Python versions from 3.10 to 3.14, as these versions are specifically supported for seamless operation of the tool. ### When should I choose RasaGPT over langflow? Choose RasaGPT over langflow when Tags unique to RasaGPT: ai, chatbot, fastapi, langchain; Also covers Inference & Serving; RasaGPT ships Docker support for self-hosted deployment; When you need a robust framework for developing conversational AI solutions and are already familiar with Rasa's ecosystem. ### When should I avoid langflow? Do not use Langflow if your Python environment does not align with version constraints between 3.10 and 3.14. Langflow may not be the best fit if you are seeking a platform that operates without any language model integration, as it fundamentally relies on such models for its functionality. ### When should I avoid RasaGPT? For users preferring platforms that require less technical setup, particularly without needing Docker or specific Python versions. Avoid if development is focused on non-headless chatbot applications that don't leverage the Rasa framework's architecture. ### Is langflow or RasaGPT more popular on GitHub? langflow has more GitHub stars (152,744 vs 2,464). Stars measure visibility, not whether either tool fits your constraints. ### Are langflow and RasaGPT open source? Yes - both are open-source projects on GitHub (langflow: MIT, RasaGPT: MIT). ### Where can I find alternatives to langflow or RasaGPT? GraphCanon lists graph-backed alternatives at [langflow alternatives](/tools/langflow-ai-langflow/alternatives) and [RasaGPT alternatives](/tools/paulpierre-rasagpt/alternatives) ([langflow markdown twin](/tools/langflow-ai-langflow/alternatives.md), [RasaGPT markdown twin](/tools/paulpierre-rasagpt/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/langflow-ai-langflow-vs-paulpierre-rasagpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langflow or RasaGPT? langflow: Very active. RasaGPT: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for langflow and RasaGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langflow trust report](/tools/langflow-ai-langflow/trust); [RasaGPT trust report](/tools/paulpierre-rasagpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langflow-ai-langflow`](/api/graphcanon/graph?tool=langflow-ai-langflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_