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Flask vs TypeORM: What are the differences?
Introduction
In this article, we will discuss the key differences between Flask and TypeORM. Flask is a micro web framework written in Python, while TypeORM is an Object Relational Mapping (ORM) tool for TypeScript and JavaScript.
Database Support: Flask does not have built-in support for databases. It can work with any database by using third-party libraries or extensions. On the other hand, TypeORM has built-in support for various databases including MySQL, PostgreSQL, SQLite, and Microsoft SQL Server. It provides a consistent API to interact with different databases.
Language: Flask is written in Python, which is a popular general-purpose programming language known for its simplicity and readability. TypeORM, on the other hand, is written in TypeScript, which is a language that provides optional static typing for JavaScript and adds additional features to the language.
Querying: Flask uses SQL and SQLAlchemy for querying databases. SQLAlchemy is a powerful SQL toolkit and Object-Relational Mapping (ORM) library for Python. TypeORM, on the other hand, provides a query builder API that allows developers to write database queries using TypeScript or JavaScript syntax, which can be more familiar to developers who are already working with these languages.
Active Record vs Data Mapper: Flask follows the Active Record pattern, where the models themselves encapsulate the logic for persisting and loading data from the database. TypeORM follows the Data Mapper pattern, where separate mapper classes are responsible for handling the database interaction, while the entities focus on the business logic.
Validation and Constraints: Flask does not provide built-in validation and constraint handling for database operations. Developers need to manually validate the data and handle constraints. TypeORM provides support for validation and constraint handling, allowing developers to define constraints such as unique values, minimum and maximum length, and required fields, which are automatically enforced by the framework.
Integration with Frameworks: Flask is a web framework that can be easily integrated with other Python frameworks and libraries. It can work seamlessly with tools like Jinja templates, WTForms for form validation, and many other Python packages. TypeORM, on the other hand, is primarily focused on database operations and does not provide extensive integration with web frameworks. It can be used alongside any JavaScript or TypeScript web framework.
In summary, Flask is a Python web framework with flexibility in choosing the database and extensive integration with other Python packages, while TypeORM is a TypeScript and JavaScript ORM tool with built-in database support, validation, and constraint handling, but with limited integration with web frameworks.
My journey to developing REST APIs started with Flask Restful, and I've found it to be enough for the needs of my project back then. Now that I've started investing more time on personal projects, I've yet to decide if I should move to use Django for writing REST APIs. I often see job posts looking for Python+Django developers, but it's usually for full-stack developers. I'm primarily interested in Data Engineering, so most of my web projects are back end.
Should I continue with what I know (Flask) or move on to Django?
If you want to be a Web developer with knowledge in another frontend and NoSql technology, maybe continue with Flask. However, if you want to create very fast solutions to grow up with a new business and merge these with data analysis and other tools, Django is the answer. Basically read more about the service architecture where you feel more comfortable, Microservice or Monolithic, but please will not married with any because they solve issues to different contexts.
Which is the best Python framework for microservices?
We are using Nameko for building microservices in Python. The things we really like are dependency injection and the ease with which one can expose endpoints via RPC over RabbitMQ. We are planning to try a tool that helps us write polyglot microservices and nameko is not super compatible with it. Also, we are a bit worried about the not so good community support from nameko and looking for a python alternate to write microservices.
Bottle is much less bloated and fast. Its built-in templating system is one of the fastest as it compiles the templates in bytecode. Also Bottle has no depenencies, preventing dependency bloat.
I have just started learning Python 3 weeks ago. I want to create a REST API using python. The API will be used to save form data in an Oracle database. The front end is using AngularJS 8 with Angular Material. In python, there are so many frameworks to develop REST APIs.
I am looking for some suggestions which REST framework to choose?
Here are some features I am looking for:
Easy integration and unit testing, like in Angular. We just want to run a command.
Code packaging, like in java maven project we can build and package. I am looking for something which I can push in as an artifact and deploy whole code as a package.
Support for swagger/ OpenAPI
Support for JSON Web Token
Support for test case coverage report
Framework can have features included or can be available by extension. Also, you can suggest a framework other than the ones I have mentioned.
For starters flask provides a beautiful and easy way to create REST APIs. Also its supported by excellent beginner docs as well as a very active community. Another good thing with Flask is its widely available list of plugins which allow you to build as you go. Its also good in performance and can scale to a quite decent level. However, if you are sure your project is going to be fairly big, it would be better to start with Django as it provides a lot of features out of the box and is extremely stable in performance. Both these frameworks have support for Swagger, JWT, Coverage Report although you have to install plugins for them. Deploying both of these are fairly simple and there is huge documentation available. Django has one of the best documentations I have come across. I hope I was able to answer your queries.
Pros of Flask
- For it flexibility10
- Flexibilty and easy to use9
- Flask8
- User friendly7
- Secured6
- Unopinionated5
- Secure2
- Customizable1
- Simple to use1
- Powerful1
- Rapid development1
- Beautiful code1
- Easy to develop and maintain applications1
- Easy to setup and get it going1
- Easy to use1
- Documentation1
- Python1
- Minimal1
- Lightweight1
- Easy to get started1
- Orm1
- Not JS1
- Perfect for small to large projects with superb docs.1
- Easy to integrate1
- Speed1
- Get started quickly1
- Open source0
- Well designed0
- Flexibilty0
- Productive0
- Awesome0
- Expressive0
- Love it0
Pros of TypeORM
- Typescript30
- Supports MySQL, PostgreSQL, MariaDB, SQLite, MS SQL Ser12
- Easy setup9
- Cons of TypeORM9
- Promise Based7
- Works in NodeJS, Browser, Ionic, Cordova and Electron p7
- Support MySQL & MariaDB, PostgreSQL, MSSQL, Sqlite6
- Support MongoDB1
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Cons of Flask
- Not JS10
- Context7
- Not fast5
- Don't has many module as in spring1
Cons of TypeORM
- Completely abandoned by its creator5
- Too complex for what it does3
- Doesn't really support native javascript2
- Not proper/real type safety1
- Cannot use query on any relation1