langflow vs mastra

Common questions

What is the difference between langflow and mastra?

langflow: 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; 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.; 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; 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 choose mastra over langflow?

Choose mastra over langflow when mastra is primarily TypeScript; langflow is Python; License: mastra is Other, langflow is MIT; Pricing: Free for open-source Apache-licensed portions; Mastra Enterprise License subscription required for full feature access.; Requirements: Project must be developed in TypeScript.; JavaScript and TypeScript ecosystems (Node.js, NextJS) are prerequisites for leveraging Mastra's integrations fully.; 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; Also covers Evaluation & Observability, LLM Frameworks, Speech & Audio; You should use Mastra when you are developing AI-driven applications or bots that require integration with technologies such as text-to-speech (TTS) or complex chatbot functionalities.

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 mastra?

Mastra may not be suitable if your application does not require TypeScript and prefers simpler setup or non-TypeScript environments. Avoid using Mastra if enterprise-level features or a dual-license model do not align with your project’s requirements or budget, especially when cost-free, fully open-source alternatives exist that If you are working on smaller projects where the overhead of a comprehensive framework like Mastra overwhelms the available resources or the scope of work is minimal, consider lighter-weight solutions

Is langflow or mastra more popular on GitHub?

langflow has more GitHub stars (152,744 vs 27,229). 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.