Skip to main content

Differences between OAuth and JWT in Django




OAuth(Open Authorization) and JWT(Json web token) are both standards for authorization and authentication. OAuth is suitable for delegating user authorization, accessing third-party applications, and session management. 

OAuth allows third-party services such as Facebook and Google to use end-user account information without exposing the user’s account credentials to a third party.

JWT is suitable for stateless applications, API authentication, and server-to-server authorization. A JWT contains a JSON object with information that needs to be shared. Additionally, each JWT is cryptographically signed, so that clients or malicious parties cannot modify JSON content


When to Use JWT vs. OAuth:

Use JWT When:

1. You're building a stateless authentication system, such as a RESTful API.

2. You want a lightweight and straightforward authentication mechanism.

3. You have full control over both the client and the server.

4. You don't need to delegate access to third-party applications.


Use OAuth When:

1. You need to allow third-party applications to access user resources without sharing credentials.

2. You're integrating with external services or platforms that support OAuth.

3. You want to implement delegated authorization for users.

4. You're building a complex web application where fine-grained access control is necessary.


Implementation of JWT


Here's a basic code example demonstrating JWT authentication in Django using djangorestframework-simplejwt



implementation of Oauth


implementing OAuth authentication in Django using the django-oauth-toolkit library


https://django-oauth-toolkit.readthedocs.io/en/latest/rest-framework/getting_started.html
















Comments

Post a Comment

Popular posts from this blog

Implementing Advance Query Optimization in Django ORM

 Django's ORM makes database interactions seamless, allowing developers to write queries in Python without raw SQL. However, as applications scale, inefficient queries can slow down performance, leading to high latency and database load.  This guide explores advanced query optimization techniques in Django ORM to go beyond basic CRUD (Create, Read, Update, Delete) operations and improve efficiency.  1. Use QuerySet Caching to Avoid Repeated Queries Using cache reduces redundant queries for frequently accessed data. Caching helps reduce repeated database hits. 2. Avoid .count() on Large Datasets Using .count() on large tables can be expensive Inefficient way: Optimized way ( .exists() is Faster) 3. Use Indexes for Faster Lookups Indexes speed up queries on frequently filtered fields. Add db_index=True for frequently queried fields: 4. Optimize Bulk Inserts and Updated Performing operations on multiple records one by one is inefficient. Use bulk_create() for mass insert...
Post a Comment
Read more

Django pk vs id

 Django pk VS id If you don’t specify primary_key=True for any fields in your model, Django will automatically add an IntegerField to hold the primary key, so you don’t need to set primary_key=True on any of your fields unless you want to override the default primary-key behavior. The primary key field is read-only. If you change the value of the primary key on an existing object and then save it, a new object will be created alongside the old one Example: class UserProfile ( models . Model ): name = models . CharField ( max_length = 500 ) email = models . EmailField ( primary_key = True ) def __str__ ( self ): return self . name suppose we have this model. In this model we have make email field as primary key. now django default primary key id field will be gone. It'll remove from database. we can not query as   UserProfile.objects.get(id=1) after make email as primary key this query will throw an error.  Now we have to use pk  Us...
Post a Comment
Read more

Django select_related and prefetch_related

  Difference between select_related and prefetch_related Reducing SQL queries is one of the first steps when optimizing a Django project. There are two powerful methods included in the Django ORM to help us that can boost performance by creating a single more complex QuerySet rather than multiple, smaller queries. In this project we will understand about  select_related and prefetch_related.  Django use these two orm method to reduce sql queries in database based on different scenario.  select_related Lets assume  this two model we have.  class Author ( models . Model ): name = models . CharField ( max_length = 200 ) def __str__ ( self ): return self . name class Courses ( models . Model ): name = models . CharField ( max_length = 200 ) author = models . ForeignKey ( Author , on_delete = models . CASCADE , related_name = 'courses' ) def __str__ ( self ): return self . name Here we have two mode. ...
Post a Comment
Read more