langflow vs mastra

Common questions

What is the difference between langflow and mastra?

langflow: A tool for building and deploying AI-powered agents and workflows. mastra: Modern TypeScript framework for AI-powered applications and agents. See the comparison table for live GitHub stats and shared categories.

When should I choose langflow over mastra?

Choose langflow over mastra when langflow is primarily Python; mastra is TypeScript; License: langflow is MIT, mastra is Other; Mastra and LangFlow both provide frameworks for building AI-powered applications and agents, though they may have different strengths or approaches such as TypeScript compatibility in Mastra; Tags unique to langflow: chatgpt, generative-ai, large-language-models, multiagent; When you need to develop AI agents and workflows that can integrate with large language models, as Langflow supports this integration directly.

When should I choose mastra over langflow?

Choose mastra over langflow when mastra is primarily TypeScript; langflow is Python; License: mastra is Other, langflow is MIT; Pricing: The core framework is free and open-source under Apache License 2.0, but enterprise features require a valid enterprise license for production use.; Requirements: Requires TypeScript and Node.js for development.; Mastra and LangFlow both provide frameworks for building AI-powered applications and agents, though they may have different strengths or approaches such as TypeScript compatibility in Mastra; Tags unique to mastra: ai, chatbots, evals, javascript; When you need a TypeScript framework that supports AI functionalities such as chatbots, evaluations, and text-to-speech.

When should I avoid langflow?

If your project does not require the use of large language models or multiagent systems, as Langflow's strengths lie in these areas. When you are working in an environment that does not support Python 3.10–3.14, as Langflow requires this specific version range. If you are looking for a tool that does not require the use of the uv package manager, as Langflow recommends uv for installation and running.

When should I avoid mastra?

If your project strictly requires an entirely open-source solution without any proprietary enterprise components. When you prefer frameworks that do not differentiate between open-source and enterprise features, as Mastra has distinct enterprise features that require a separate license.

Is langflow or mastra more popular on GitHub?

langflow has more GitHub stars (154,963 vs 28,149). Stars measure visibility, not whether either tool fits your constraints.

Are langflow and mastra open source?

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

Where can I find alternatives to langflow or mastra?

GraphCanon lists graph-backed alternatives at langflow alternatives and mastra alternatives (langflow markdown twin, mastra 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, langflow or mastra?

langflow: Very active. mastra: 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 langflow and mastra?

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