Langflow vs Mastra
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Langflow suits teams needing open-source access, python focus, and 153,543 GitHub stars in current listing data. Mastra suits teams needing open-source access, typescript focus, and 27,357 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.
What this comparison weighs
- Pricing and free-tier availability
- License model and deployment fit
- GitHub adoption and contributor depth
- Catalog tags, integrations, and supported workflows
| Metric | Langflow | Mastra |
|---|---|---|
| GitHub Stars | 153.5K | 27.4K |
| Contributors | 351 | 465 |
| Last Commit | Aug 22, 2026 | Aug 22, 2026 |
| Open Issues | 968 | 523 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Langflow if you need
- • Langflow stands out for Python workflows that are not listed for Mastra.
- • Langflow is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
- • Langflow shows broader GitHub adoption with 153,543 stars versus 27,357 for Mastra.
Choose Mastra if you need
- • Mastra stands out for Typescript workflows that are not listed for Langflow.
- • Mastra is the stronger pick when Workflows matters because that capability is listed only on its profile.
- • Mastra has a larger visible contributor base (465 vs 351).
Meaningful differences
- • Workflow emphasis: Langflow highlights Python, while Mastra highlights Typescript.
- • GitHub adoption: Langflow shows 153,543 stars versus 27,357 for Mastra.
- • Contributor count: Langflow lists 351 contributors and Mastra lists 465.
Shared capabilities
- • Rag
- • Multi Agent
- • Open Source
Shared Tags
Only in Langflow
Only in Mastra
Limitations and evidence
- • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
- • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
- • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.
About Langflow
Langflow is a visual framework for building multi-agent and RAG applications. Its drag-and-drop interface lets you create complex agent workflows without code, while still allowing Python customization. Supports all major LLM providers, vector stores, and tools. Export flows as APIs with one click. The most popular visual agent builder.
View full listingAbout Mastra
Mastra is a TypeScript-first framework for building AI agents, workflows, and RAG pipelines. It provides a unified interface for connecting to LLMs, managing tools, and orchestrating multi-step agent workflows with built-in observability. Mastra emphasizes developer experience with type-safe APIs, local development tools, and seamless deployment to serverless environments.
View full listing