predikit 📈 Project Traffic Detailed breakdown of downloads by version, region, and platform: Table of Contents Install 30-second example Core API Cookbook Contributing License Turn any trained scikit-learn or XGBoost model into an LLM-callable tool — auto-generated JSON schemas, typed I/O, zero boilerplate. Install 30-second example Core API Group multiple tools for bulk export: Field naming rule Your Pydantic schema field names must exactly match the column names the model was trained on. predikit maps inputs to features by name, not position.
| Stars | 417 |
| Forks | 135 |
| Language | Python |
| Category | LLM 插件 |
| License | MIT |
| Quality Score | 67.8666333239024/100 |
| Open Issues | 30 |
| Last Updated | 2026-08-17 |
| Created | 2026-05-25 |
| Platforms | python |
| Est. Tokens | ~4k |
Explore other popular llm 插件 tools:
predikit is pypi-predikit: Turn any sklearn/XGBoost model into an LLM-callable tool. Framework-agnostic. It is categorized as a LLM 插件 with 417 GitHub stars.
predikit is primarily written in Python. It covers topics such as agents, langchain, llm.
You can find installation instructions and usage details in the predikit GitHub repository at github.com/Tejas-TA/predikit. The project has 417 stars and 135 forks, indicating an active community.
predikit is released under the MIT license, making it free to use and modify according to the license terms.