FastGPT vs langflow

Common questions

What is the difference between FastGPT and langflow?

FastGPT: A knowledge-based platform built on LLMs for developing and deploying complex question-answering systems. langflow: Tool for building and deploying AI-powered agents and workflows. See the comparison table for live GitHub stats and shared categories.

When should I choose FastGPT over langflow?

Choose FastGPT over langflow when FastGPT is primarily TypeScript; langflow is Python; License: FastGPT is Other, langflow is MIT; LangFlow and FastGPT both provide platforms for building and deploying AI-powered agents and workflows, but they may have different approaches or features; Tags unique to FastGPT: agent, claude, deepseek, llm; Also covers Data & Retrieval, LLM Frameworks; You prioritize ease of setup and configuration for advanced AI applications.

When should I choose langflow over FastGPT?

Choose langflow over FastGPT when langflow is primarily Python; FastGPT is TypeScript; License: langflow is MIT, FastGPT is Other; 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.; LangFlow and FastGPT both provide platforms for building and deploying AI-powered agents and workflows, but they may have different approaches or features; Tags unique to langflow: agents, chatgpt, generative-ai, large language models; Also covers Model Training; 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 avoid FastGPT?

If your needs extend beyond question-answering to other AI applications that require extensive customization which FastGPT does not natively support. When the level of customization for specific data processors or RAG methods is more critical than out-of-the-box functionality. Your use case requires a broader array of model integration, as FastGPT currently specializes in certain frameworks and may lack the depth needed for highly specialized models.

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.

Is FastGPT or langflow more popular on GitHub?

langflow has more GitHub stars (152,744 vs 29,366). Stars measure visibility, not whether either tool fits your constraints.

Are FastGPT and langflow open source?

Yes - both are open-source projects on GitHub (FastGPT: Other, langflow: MIT).

Where can I find alternatives to FastGPT or langflow?

GraphCanon lists graph-backed alternatives at FastGPT alternatives and langflow alternatives (FastGPT markdown twin, langflow markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, FastGPT or langflow?

FastGPT: Very active. langflow: Very active. 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 FastGPT and langflow?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: FastGPT trust report; langflow trust report.