Rasa vs Semantic Kernel
Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.
Direct Answer
Rasa suits teams needing freemium $35, conversational ai focus, and 21,301 GitHub stars in current listing data. Semantic Kernel suits teams needing open-source access, csharp focus, and 28,477 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 | Rasa | Semantic Kernel |
|---|---|---|
| GitHub Stars | 21.3K | 28.5K |
| Contributors | 298 | 400 |
| Last Commit | Jul 24, 2026 | Aug 21, 2026 |
| Open Issues | 153 | 250 |
| License | open-source | open-source |
| Pricing | freemium | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
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.
Choose Semantic Kernel if you need
- • Semantic Kernel stands out for Csharp workflows that are not listed for Rasa.
- • Semantic Kernel is the stronger pick when Multi Agent matters because that capability is listed only on its profile.
- • Semantic Kernel shows broader GitHub adoption with 28,477 stars versus 21,301 for Rasa.
Meaningful differences
- • Pricing model: Rasa is listed as freemium from From $35K/yr (Enterprise), while Semantic Kernel is listed as open-source.
- • Workflow emphasis: Rasa highlights Python, while Semantic Kernel highlights Csharp.
- • GitHub adoption: Rasa shows 21,301 stars versus 28,477 for Semantic Kernel.
- • Contributor count: Rasa lists 298 contributors and Semantic Kernel lists 400.
Shared capabilities
- • Enterprise
- • Python
- • Open Source
Shared Tags
Only in Rasa
Only in Semantic Kernel
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.
Source links
About 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 listingAbout Semantic Kernel
Semantic Kernel is Microsoft's open-source SDK for building AI agents and integrating LLMs into enterprise applications. It supports C#, Python, and Java with a plugin architecture for extending agent capabilities. Semantic Kernel provides planning, memory, and function-calling abstractions that work with OpenAI, Azure OpenAI, and Hugging Face models.
View full listing