{"categories":[{"label":"Application Frameworks","url":"https://skillfed.io/packages/category/software-development-libraries-application-frameworks/3"}],"enrichment":{"capability":"Provides a `BaseCollectionModel` class that wraps collections of pydantic models with validation, serialization, and type safety.","skillfed_tags":["pydantic-extension","data-validation","serialization"],"use_cases":["Validate and type-check a list of API response objects before processing them in your application.","Wrap CSV or JSON imports in a collection model to ensure all records conform to a schema before persisting.","Nest a collection of models as a field in a parent pydantic model for hierarchical data validation.","Serialize a batch of model instances to JSON with automatic datetime and custom type handling.","Enforce strict type safety when appending items to a collection to catch invalid assignments early."],"what_it_does":"pydantic-collections wraps a list of pydantic models in a `BaseCollectionModel` class that applies validation, serialization, and type checking to the entire collection. It acts as a container that enforces that all items conform to a specified pydantic model schema, supporting both strict and lenient assignment modes. The class inherits from pydantic's `BaseModel`, so collections can be nested as fields in other models and serialized to JSON or dictionaries using pydantic's standard methods.\n\nThe package is designed for workflows where you need to load, validate, and serialize batches of structured data\u2014such as API responses containing arrays of objects, CSV imports, or database result sets. It reduces boilerplate by letting you define a collection type once and reuse it across your codebase. However, the repository is archived and abandoned, with no active maintenance since mid-2026, which may pose a risk if you rely on future compatibility with newer pydantic versions or need bug fixes.","worth_installing":"Yes, if you are using pydantic v1.x or early v2.x and need a lightweight, low-friction way to validate and serialize collections of models. No, if you require active maintenance or plan to upgrade pydantic significantly in the near future\u2014the package is archived and abandoned, with no recent updates. Consider whether pydantic's native list validation (e.g., `list[MyModel]`) or a simple wrapper function meets your needs instead."},"id":"pydantic-collections","links":{"html":"https://skillfed.io/packages/pydantic-collections","md":"https://skillfed.io/packages/pydantic-collections.md","pypi":"https://pypi.org/project/pydantic-collections/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2024-07-09","license_spdx":null,"license_treatment":"permissive","name":"pydantic-collections","python_support":"unspecified","summary":"Collections of pydantic models"},"popularity":{"monthly_downloads":552306,"position":6043,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.6.0"}