An ORM framework based on disk caching
cushy-storage is an ORM framework based on disk caching that allows you to easily perform CRUD operations on your custom data through ORM. On the other hand, cushy-storage saves you the effort of devising a data storage standard. Dictionary-like operations can reduce a lot of development costs. If you have a need for local file data operations, this framework can facilitate local data storage with ease.
- Supports ORM storage, basic data storage, and custom data storage, compatible with all data types
- Supports ORM framework-level object operations, enabling easy CRUD operations on object-level data
- Basic data storage operations are as simple as dict read and write, very convenient
- Easily perform local disk storage of data (basic data types, custom data types)
- Eliminates the need for direct file handling
- Provides multiple serialization options
- Offers various data compression methods
- Official documentation on github-pages
- Current development plan
- Contribution/Developer's manual
- Frequently Asked Questions
- pypi repository
pip install cushy-storage -UThe use of cushy-storage is mainly divided into four parts: CushyOrmCache, CushyDict, BaseDict, disk_cache. For more detailed information, please read the relevant documentation.
- CushyORMCache Object storage based on the ORM framework, which allows for very convenient CRUD operations on object-level data.
- CushyDict: An enhanced version of
BaseDict, storing various types of data, including basic data types and custom data types. - BaseDict: Stores basic binary data.
- disk_cache: Function data caching.
If you want to contribute to this project, you can submit a PR or issue. I am happy to see more people get involved and improve it.