by KLR-Pattern · MCP Server · ★ 325
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Pydantic Resolve Clean Architecture for Python — define business entities, declare relationships, let the framework assemble your data. 中文版 Requirements: Python 3.10+, Pydantic v2 The Missing Layer Most FastAPI projects follow the same pattern: define SQLAlchemy ORM models first, then create Pydantic schemas that mirror them. This "ORM-First" approach is so common that many developers have never questioned it. But as projects grow, it creates systemic problems: Multi-source data is har
| Stars | 325 |
| Forks | 13 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.8453271461268/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-30 |
| Created | 2023-03-07 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
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pydantic-resolve is a Pythonic clean architecture implementation framework.
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pydantic-resolve is pydantic-resolve is a progressive data assembly framework which follows the stye of clean architecture. It is categorized as a MCP Server with 325 GitHub stars.
pydantic-resolve is primarily written in Python. It covers topics such as bff, fastapi, fullstack.
You can find installation instructions and usage details in the pydantic-resolve GitHub repository at github.com/KLR-Pattern/pydantic-resolve. The project has 325 stars and 13 forks, indicating an active community.
pydantic-resolve is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pydantic-resolve on Agent Skills Hub include pydantic-resolve, pydantic-deepagents, omnicoreagent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.