We are excited to announce that Beanie is transitioning from solo development to a team-based approach! This move will help us enhance the project with new features and more collaborative development.
At this moment we are establishing a board of members that will decide all the future steps of the project. We are looking for contributors and maintainers to join the board.
If you are interested in contributing or want to stay updated, please join our Discord channel. We're looking forward to your ideas and contributions!
Let’s make Beanie better, together!
Beanie - is an asynchronous Python object-document mapper (ODM) for MongoDB. Data models are based on Pydantic.
When using Beanie each database collection has a corresponding Document that
is used to interact with that collection. In addition to retrieving data,
Beanie allows you to add, update, or delete documents from the collection as
well.
Beanie saves you time by removing boilerplate code, and it helps you focus on the parts of your app that actually matter.
Data and schema migrations are supported by Beanie out of the box.
There is a synchronous version of Beanie ODM - Bunnet
pip install beaniepoetry add beanieFor more installation options (eg: aws, gcp, srv ...) you can look in the getting started
importasynciofromtypingimportOptionalfrompymongoimportAsyncMongoClientfrompydanticimportBaseModelfrombeanieimportDocument, Indexed, init_beanieclassCategory(BaseModel):
name: strdescription: strclassProduct(Document):
name: str# You can use normal types just like in pydanticdescription: Optional[str] =Noneprice: Indexed(float) # You can also specify that a field should correspond to an indexcategory: Category# You can include pydantic models as well# This is an asynchronous example, so we will access it from an async functionasyncdefexample():
# Beanie uses PyMongo async client under the hoodclient=AsyncMongoClient("mongodb://user:pass@host:27017")
# Initialize beanie with the Product document classawaitinit_beanie(database=client.db_name, document_models=[Product])
chocolate=Category(name="Chocolate", description="A preparation of roasted and ground cacao seeds.")
# Beanie documents work just like pydantic modelstonybar=Product(name="Tony's", price=5.95, category=chocolate)
# And can be inserted into the databaseawaittonybar.insert() # You can find documents with pythonic syntaxproduct=awaitProduct.find_one(Product.price<10)
# And update themawaitproduct.set({Product.name:"Gold bar"})
if__name__=="__main__":
asyncio.run(example())- Doc - Tutorial, API documentation, and development guidelines.
- fastapi-cosmos-beanie - FastAPI + Beanie ODM + Azure Cosmos Demo Application by Anthony Shaw
- fastapi-beanie-jwt - Sample FastAPI server with JWT auth and Beanie ODM by Michael duPont
- Shortify - URL shortener RESTful API (FastAPI + Beanie ODM + JWT & OAuth2) by Iliya Hosseini
- LCCN Predictor - Leetcode contest rating predictor (FastAPI + Beanie ODM + React) by L. Bao
- Announcing Beanie - MongoDB ODM
- Build a Cocktail API with Beanie and MongoDB
- MongoDB indexes with Beanie
- Beanie Projections. Reducing network and database load.
- Beanie 1.0 - Query Builder
- Beanie 1.8 - Relations, Cache, Actions and more!
- GitHub - GitHub page of the project
- Changelog - list of all the valuable changes
- Discord - ask your questions, share
ideas or just say
Hello!!
Supported by JetBrains
