huangjia2019/langchain-in-action
Practical LangChain patterns and implementations for real-world LLM applications. 极客时间：LangChain实战课 - 这是LangChain框架早期设计的一系列重点模块的直接而清晰的示例和讲解。随着LangChain的快速演进，有些代码需要安装新的版本进行迭代。希望大家在快速浏览课程概念（仍有价值）的同时，自行学习LangChain最新的代码和进展。
Star & Fork Trend (32 data points)
Multi-Source Signals
Growth Velocity
huangjia2019/langchain-in-action has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | langchain-in-action | train-deepseek-r1 | miyagi | InferLLM |
|---|---|---|---|---|
| Stars | 750 | 750 | 751 | 751 |
| Forks | 255 | 121 | 255 | 95 |
| Weekly Growth | +0 | +1 | -1 | +0 |
| Language | Python | Jupyter Notebook | Jupyter Notebook | C++ |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | NOASSERTION | Apache-2.0 |
Capability Radar vs train-deepseek-r1
Last code push 668 days ago.
Fork-to-star ratio: 34.0%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.