by whylabs · Agent Tool · ★ 976
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🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀
| Stars | 976 |
| Forks | 71 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 43.3/100 |
| Open Issues | 36 |
| Last Updated | 2024-11-22 |
| Created | 2023-04-26 |
| Est. Tokens | ~351k |
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langkit is 🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance m. It is categorized as a Agent Tool with 976 GitHub stars.
langkit is primarily written in Jupyter Notebook. It covers topics such as large-language-models, machine-learning, nlg.
You can find installation instructions and usage details in the langkit GitHub repository at github.com/whylabs/langkit. The project has 976 stars and 71 forks, indicating an active community.
langkit is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to langkit on Agent Skills Hub include spacy-llm, free-ai-resources-x, prompttools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.