Web backend data modeling libraries are software packages that developers use to define and manipulate data models in their web applications. These libraries provide pre-built tools and functions to create and modify data structures such as tables, fields, and relationships, as well as to validate and transform data before it is stored in a database or other data store. By using a data modeling library, developers can ensure that their web application is consistent and structured in a way that makes sense for the data it handles. Data modeling libraries can be integrated with popular web frameworks such as Django, Flask, and Ruby on Rails, and can be customized to meet the specific needs of each application. Overall, data modeling libraries are a valuable resource for developers building web applications that require a clear and consistent data structure.
Top 10 web backend Data modeling libraries for defining and manipulating data models, their popularity, URL, and description
1. SQLAlchemy (https://www.sqlalchemy.org/): SQLAlchemy is a Python library that provides a powerful set of tools for data modeling and manipulation. It allows developers to define and manipulate data models in an intuitive, declarative manner, making it easy to work with databases of any size or complexity.
2. MongoEngine (http://mongoengine.org/): MongoEngine is an Object-Document Mapper (ODM) for working with MongoDB from Python applications. It provides a simple way to define and manipulate data models in an intuitive, declarative manner, making it easy to work with large datasets stored in MongoDB databases.
3. Django ORM (https://docs.djangoproject.com/en/3.0/topics/db/models/): Django ORM is the official Object Relational Mapper provided by the Django web framework for working with relational databases such as PostgreSQL and MySQL from Python applications using the Model-View-Controller pattern. It provides a simple way to define and manipulate data models in an intuitive, declarative manner, making it easy to work with large datasets stored in relational databases.
4. PyMySQL (https://pymysql.readthedocs.io/): PyMySQL is a pure-Python MySQL client library that implements the Python Database API v2 specification. It allows developers to interact directly with MySQL servers from within their own applications without having to use external libraries or frameworks such as Django ORM or SQLAlchemy.
5. Peewee (http://docs.peewee-orm.com/): Peewee is an object-relational mapper written entirely in Python that makes it easy for developers to interact directly with their database without having to use external libraries or frameworks such as Django ORM or SQLAlchemy.
6. PonyORM(https://ponyorm.com/): PonyORM is an object-relational mapper written entirely in Python that makes it easy for developers to interact directly with their database without having to use external libraries or frameworks such as Django ORM or SQLAlchemy.
7. Elixir(https://pypi.org/project/Elixir/): Elixir is a lightweight Object Relational Mapper written entirely in Python which makes it easier for developers who are familiar with traditional object-oriented programming languages like Java and C# but want access the power of modern database systems like PostgreSQL, MySQL, Oracle, etc., without having learned complex query languages like SQL.
8. Storm (https://github.com/moves-rwth/stormpy): Storm is an open-source object-relational mapper written entirely in python which simplifies working on complex database projects by providing powerful features like automatic table creation, schema migration, query building, etc., while still allowing you access all of your underlying database’s features through its clean API interface
9. SqlObject (http://sqlobject.org/): SqlObject is another popular open-source object-relational mapper written entirely in python which simplifies working on complex database projects by providing powerful features like automatic table creation, schema migration, query building, etc., while still allowing you access all of your underlying database’s features through its clean API interface
10. Dejavu (https://github.com/worldveil/dejavu) Dejavuis yet another popular open-source object-relational mapper written entirely in python which simplifies working on complex database projects by providing powerful features like automatic table creation schema migration query building etc while still allowing you access to all of your underlying databases features through its clean API interface