Langflow vs Rasa
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Langflow suits teams needing open-source access, visual builder focus, and 153,543 GitHub stars in current listing data. Rasa suits teams needing freemium $35, conversational ai focus, and 21,301 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 | Rasa |
|---|---|---|
| GitHub Stars | 153.5K | 21.3K |
| Contributors | 351 | 298 |
| Last Commit | Aug 22, 2026 | Jul 24, 2026 |
| Open Issues | 968 | 153 |
| License | open-source | open-source |
| Pricing | open-source | freemium |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Choose Langflow if you need
- • 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 21,301 for Rasa.
- • Langflow has a larger visible contributor base (351 vs 298).
Choose Rasa if you need
- • Rasa is the stronger pick when Conversational Ai matters because that capability is listed only on its profile.
- • Rasa is the cleaner fit if you specifically need Conversational Ai workflows from the catalog tags.
Meaningful differences
- • Pricing model: Langflow is listed as open-source, while Rasa is listed as freemium from From $35K/yr (Enterprise).
- • GitHub adoption: Langflow shows 153,543 stars versus 21,301 for Rasa.
- • Contributor count: Langflow lists 351 contributors and Rasa lists 298.
Shared capabilities
- • Python
- • Open Source
Shared Tags
Only in Langflow
Only in Rasa
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 Rasa
Rasa is an open-source conversational AI framework for building enterprise-grade virtual assistants and chatbots. It provides NLU, dialogue management, and LLM integration with full on-premise deployment support. Rasa focuses on regulated industries that need data privacy, compliance, and control over their AI infrastructure.
View full listing