Langflow vs Semantic Kernel
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. 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 | Langflow | Semantic Kernel |
|---|---|---|
| GitHub Stars | 153.5K | 28.5K |
| Contributors | 351 | 400 |
| Last Commit | Aug 22, 2026 | Aug 21, 2026 |
| Open Issues | 968 | 250 |
| 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 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 28,477 for Semantic Kernel.
- • Langflow is the cleaner fit if you specifically need Visual Builder workflows from the catalog tags.
Choose Semantic Kernel if you need
- • Semantic Kernel stands out for Csharp workflows that are not listed for Langflow.
- • Semantic Kernel is the stronger pick when Plugins matters because that capability is listed only on its profile.
- • Semantic Kernel has a larger visible contributor base (400 vs 351).
Meaningful differences
- • Workflow emphasis: Langflow highlights Python, while Semantic Kernel highlights Csharp.
- • GitHub adoption: Langflow shows 153,543 stars versus 28,477 for Semantic Kernel.
- • Contributor count: Langflow lists 351 contributors and Semantic Kernel lists 400.
Shared capabilities
- • Multi Agent
- • Python
- • Open Source
Shared Tags
Only in Langflow
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 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 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