transformers vs semantic-kernel
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| transformers | semantic-kernel | |
|---|---|---|
| Tagline | 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models | Build intelligent AI agents and multi-agent systems with this enterprise-ready orchestration framework |
| Stars | 162k | 28k |
| Forks | 34k | 4.7k |
| Open issues | 2.5k | 261 |
| Language | Python | C# |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, Model Training, LLM Frameworks | AI Agents |
transformers
Repo hosts a Python library and framework for NLP, text, audio, vision, multimodal AI model creation, training and inference using PyTorch.
Python
semantic-kernel
Semantic Kernel is a model-agnostic SDK for building, orchestrating, and deploying AI agents and multi-agent systems. It supports multiple language platforms including Python, .NET, and Java.
C#