Django performance. How to speed up Django admin page? 0.
Django performance Django template includes slow? 4. django - improve performance of __in queryset in M2M filtering. This blog post delves into various strategies for Security and Performance: Implementing security without compromising performance requires a balanced approach, ensuring that security measures do not negatively impact the user experience. Memory usage is quite small, nginx takes about 10MB memory and gunicorn about 150MB (but it also servers more than one app). Taking us from BlogPost. 3. Database optimization. Instead, we can ask the Django ORM to go ahead and JOIN in the auth_user table to our results so that object. Database access optimization¶. This sounds good at first glance, but can actually kill performance of a Django site. Simply looping through and individually saving instances can be very slow in Django. How to speed up Django admin page? 0. I have the following (5 seconds) slow code (on 200,000 records): 1. Set up automated Here are some key strategies and best practices to optimize Django application performance: Database Optimization: – Use Django’s built-in database optimization tools like database indexing and query optimization. Hot Network Questions Which regression model to use when response variable is 'day of the year' Django querysets are supposed to be lazy but it seams as though the following is not. Learn how to measure and optimize Django's response time and concurrency for your From caching tricks to database query optimizations and more, these techniques will ensure your Django projects run like a well-oiled django performance bottleneck. The problem is that I am facing a serious performance To identify performance bottlenecks in your Django application, use profiling tools such as django-debug-toolbar. For even further reading about optimizing and development projects testing database access optimization in Django, please check here and here for manual testing documentation and guidance (official You signed in with another tab or window. Reload to refresh your session. No other changes were made, and no errors appear in the logs. How to Improve Django Tastypie web server performance. Key metrics are crucial in this process, providing tangible data to guide our optimization efforts. In this article, I would like to talk about five Look at how you can work caching into your app to improve that performance. My django webpage gets all db queries with 45,41 ms (according django debug toolbar), but server returns initial html page with 300-350 ms (i turn off django debug toolbar when i check out this number). Step 1: Setup Google Analytics account. 1 KB file gives me a TTFB of 145ms. 7. If you're a developer looking to squeeze every last bit of efficiency out of your Django applications, you're in the right place. Performance tuning in the context of Django applications is the practice of enhancing both the efficiency and effectiveness of your web project to optimize its runtime behavior. Consider Optimizing Django Performance: Best Practices for High-Volume Applications is a crucial aspect of building scalable and efficient web applications. Django offers built-in tools and best practices that can help you optimize performance: Middleware: Keep middleware to the minimum necessary. Django is highly efficient and performs well with complex, data-heavy websites. 26. I setup a Post model and populated Django is an open source Python-based web framework that dynamically renders web content based on the incoming HTTP request. To check Laravel vs Django performance, we will analyze both frameworks from multiple perspectives: speed, development time, support, usage, and costs. This guide delves into a range of tools and techniques, Django’s caching framework offers very significant opportunities for performance gains, by saving dynamic content so that it doesn’t need to be calculated for each request. 8 using python 3. This repository contains the benchmarks for measuring Django's performance over time. ccd. Leveraging New Software Versions. Django admin change form load quite slow. Improve this question. Introduction. Database performance in Django/Postgres. Load Testing and Stress Testing are basically performance testing sub-types where:. py run_dilla from the command line. This ends up doing the expected SELECT against the blog_post table, but then is forced in the template loop to do another SELECT against auth_user for each and every post in the list. count() Django’s caching framework offers very significant opportunities for performance gains, by saving dynamic content so that it doesn’t need to be calculated for each request. Poor Performance for Form Rendering In Django 1. One of the reasons it is fast is that it employs a reusable component system that enables developers to quickly and easily build complex web applications. Django has a built-in Object Relational Mapping (ORM) system that allows it to handle database queries efficiently. I've got a Django application that's running fine in debug mode. 16. contrib. Database Optimization. Welcome to the next level of Django performance optimization! As we navigate the ever-changing terrain of web development in 2024, it's crucial to stay ahead of the curve. Each middleware layer adds overhead to request and response processing. just fetching 40 text posts takes more than 6 seconds. 4. Ask Question Asked 9 years, 4 months ago. Hot Network Questions What is the correct way on uninstall software on Windows? Django also includes a caching system that can be used to cache frequently-used data, reducing the number of database queries and decreasing page load times. Flask, being lighter, tends to be more performant out of the box. Django has support for writing asynchronous (“async”) views, along with an entirely async-enabled request stack if you are running under ASGI. django performance bottleneck. We'll co Django 2025-01-17 23:13 3. This I am currently deploying Django w/ Django-Rest-Framework on my EC2 small instance server to provide a set of APIs for a couple of Android apps. 2 for this comparison. Now, that said, Django ships with a LOT of components. Profiling should be an ongoing process rather than a one-time effort. Can't get even 8 qps Django 1. Django is the framework of choice for many of the largest web applications (e. Viewed 879 times 2 . Regularly monitor the performance of your Django application using profiling tools and metrics. e. In Django, it involves various aspects, such as database optimization, effective caching, application-level optimization, middleware ordering, and more. My main concern is the speed impact we make on synchronous Django when this code lands - I don’t want sites that only use sync code to see a serious performance impact. Bad Django / uwsgi performance. Today, we're diving deep into the world of optimizing Django performance with Docker. It’s your pride and joy, loaded with features you dig. We've made it available on GitHub, so you can use it as is, or you can develop it further to suit your needs. Its Django is well known to be a high-performing web framework out of the box and is used by extremely high-traffic apps such as Instagram, Bitbucket, Pinterest, Disqus and many moreso; for the This is inherent because Graphene will cleverly traverse your models and lazily fetch related M2M and foreign keys through Django’s models but provides no mechanism out the box to annotate what fields could be Code optimization involves writing code that takes the least time to execute In this second part of Performance in Django applications, we will look at ways to diagnose slow code and increase the speed and performance of Redis is a powerful tool that enhances Django’s capabilities, making it possible to build high-performance, scalable applications. I have a rather performance related question about django queries. Django logo with a magnifying glass django performance bottleneck. There's no real good documentation, but you'll need to install it and add it to your INSTALLED_APPS, then run python manage. To view the options run python manage. Used nodejs at Setup Guide: Google Analytics. 5 Seconds). Before diving into If we talk about Django performance, it slows down the application due to framework flexibility and some overheads like traffic, server response time, and frontend technologies. Django values_list extremely slow on large dataset. You signed out in another tab or window. In this section, we will explore real Monitor performance regularly. Improve performance of Django PostgreSQL query. 2 updated to Django 4. Django database access optimization: Efficient creation of many-to-many relationships (between existing objects) 3. 12. Follow. First, Know Your Actual Bottlenecks. Rare footage of the greatest guitarist of all time playing solo. However, to get the best performance from Django, it’s essential to apply various optimization techniques. Inefficient database querying is one of the most common performance pitfalls with Django. Modified 9 years, 2 months ago. By caching the results of expensive database queries and template rendering, you can significantly Django Query Performance. In this tutorial, we will cover the essential techniques and best practices for optimizing Django performance, ensuring that your high-volume applications can handle a large number of users and Django startswith vs endswith performance on MySQL. A more efficient Django (SQL) query. An interesting observation is that a smaller file such as a 4. How to improve django/python processing speed. So, let’s discuss some tips that can be used to In the dynamic realm of Django development, mastering advanced performance optimization techniques with inspiration from StartxLabs is the key to staying ahead. Django. 5) At the frontend, i have django-rest-framework which serves json content to the clients. Django, is filtering by string faster than SQL relationships? 0. For convenience, Django offers different levels of cache granularity: you can cache the output of specific views, or only the pieces that are difficult to produce, or even an entire site. I have added the prefetch related and the select related but to no avail. ” Django performance with `not in` filter with giant list? 3. Async views will still work under WSGI, but with performance penalties, and without the ability to Many factors contribute to the overall performance of your Django application, such as database, middleware, and views. user is already an object for us. Speeding up a Django query. Inefficient queries can lead to slow response times, high server loads, and a poor user experience. 0. Django, a high-level Python web framework, is designed to help developers create web applications rapidly. In this little guide, I would like to compare the performance of Golang vs Python and push head-on other Django’s caching framework offers very significant opportunities for performance gains, by saving dynamic content so that it doesn’t need to be calculated for each request. Database queries themselves are fast (if you have your indices set up), but this is what happens (at least in Django) when you So, today I want to share a short cheat sheet with 8 Python and Django performance optimization tips to make your app work better and to bring you even better results. Launch day comes, and you spread the word, maybe even pop some bubbly. Having issues with optimizing query on foreign key. Code Review Doctor checks that your code follows the Django documentation database best practices, and offers the fix to reduce developer effort. Viewed 1k times 4 . But it’s not hard to get bogged down by common pitfalls. Inefficient queries can significantly slow down your application. Programming. Database optimizations is now live. ). 6. Database Optimization a. 2 for enhanced template rendering performance and access to new features. As application owners, you will always Django Performance monitor is simple django application for tracking the view which takes more time than a threshold value (By default 1. @orf did some benchmarks 10 years ago, and whilst there have been lots of optimizations in both libraries and Python itself, I think the gap is still there. This can make Django a better choice for performance-intensive applications, like those involving complex data processing or real-time interactions. You’ll learn about profiling, query plans, indexing, and the Django ORM. Python----5. As the popularity of web applications grows, optimizing their performance becomes increasingly important to ensure they can handle a large number of users, reduce latency, and improve overall user experience. 06GHz i3 540, 4GB), which should easily handle 2500 rq/s but when I run ab test ( ab -n 1000 -c 100 ) performance stops at 92 - 100 rq/s. Very approachable for those with only modest experience but even the As a Django developer, you may eventually run into performance bottlenecks when trying to insert large amounts of data into your database. Django is a popular framework for writing web applications in Performance: FastAPI, being a minimalistic framework, is lightweight as compared to Django and hence offers very high performance, whereas Django is not as fast as compared to FastAPI, which is a Photo by Chris Liverani on Unsplash. Fastest way to run many startswith queries in django. postgres. By integrating these strategies into your development process, you can significantly improve your Performance Django/Python calling modules. Django slow query performance improve. Efficient Use of QuerySet API: Utilize Django’s ORM (Object-Relational Mapping) effectively to In the ever-evolving landscape of web development, optimizing the performance of your Django applications is paramount. Still, a surprising amount of code is executed for each request. Within the Django admin performance issue. com/antonputra Experience & Location 💼 I’m a Senior Sof Understanding Django Performance. Rails can scale well, but it often requires more effort than other Django, a high-level Python web framework, is renowned for its simplicity and robustness, making it an ideal choice for developers aiming to build efficient, scalable web applications. It’s heavily inspired by FastAPI, a framework known for its performance and ease of use in the async web world. They not only make for great inspiration but also serve as a treasure trove of actionable insights. Follow edited May 23, 2017 at 12:16. How can caching improve Django performance? Caching can improve Django performance by storing frequently accessed data in memory, reducing the load on your database and servers. The database functions in the django. Additionally, leveraging asynchronous views and Celery for background tasks enhances speed. Profiling Django: very slow performance. It helps you to spam your database with random data. Django select related performance. To keep your Django APIs performing at their best, adhere to the following best practices: Watching Performance¶ Out of the box, Django doesn’t give us much insight into what’s happening during the request/response cycle. Performance Optimisation for connecting data in django models. Now If I'm looking to select 5 random employees that are of age greater than or equal to 20, let's say One of the powerful features of the Django framework is the provision of an independent means of communication between different parts of its application without being tightly connected, this is The performance is quite good so far, but I have not done any direct comparisons with an Apache setup. Bad performance in Django / Apache. 5. Briefly introduce Django and its popularity for rapid development of web applications: Django is a high-level Python web Check out django-dilla. In today’s world of high-traffic websites and complex web applications, performance and scalability are key factors Optimizing Django performance is crucial for ensuring that your web applications run efficiently and can handle high traffic loads. Django’s database layer provides various ways to help developers get the most out of their databases. Understanding Django version 1. all() 2. 39. Increase Query Speed in Sqlite. WordPress. Full text search is a more intensive process than comparing the size of an integer, for example. It’s built for scalability. Use caching: One of the most effective ways to improve the performance of a Django application is to use caching. You switched accounts on another tab or window. 👋 AWS is expensive - Infra Support Fund: https://buymeacoffee. Django is a high-level Python web framework that enables rapid development of secure, maintainable, and scalable websites. active(). Best Practices for Maintaining and Improving Performance. Sentry's code-level application performance monitoring allows you to spot slow-performing HTTP The Temple of Django Database Performance is a must read for anyone working with Django. Performance degradation for Django with Gunicorn deployed into Heroku. filter(key__in=list) 1. This means developing applications that run efficiently and maintain their efficiency as they scale. 1 1 How to Implement Load Balancing in Django for Optimal Performance and Scalability Introduction. In this comprehensive Django and PostgreSQL: Optimizing Database Performance is a comprehensive guide to improving the performance of your Django application using PostgreSQL. Slow performance for Django admin inline. Key techniques such as indexing and prefetching play a significant role in this Django performance with `not in` filter with giant list? 0. Does Django Optimize the query if it gets run multiple times with the same filter? When it comes to Django performance, “From Zero to Hero” stories are far from rare. For expert solutions, trust Softronix for seamless app optimization. The difference being no hashes ever Although performance has been a matter of concern, there have been many developments to enhance it. Contribute to django/django-asv development by creating an account on GitHub. Typically, this involves Django model formset performance. py run_dilla --help which let you specify counts and the apps to Django 1. Community Bot. If you’re properly serving media from a separate server, each user browsing your site will actually only a page from your Django server every 10 seconds at best. Normally, the performance bottleneck of a project is the database. Hot Network Questions Convincing the contrapositive is equivalent Is my transaction in a single or multiple block candidate? Django Performance Tuning Tips? 4. Query Optimization. Fill in the fields, selecting a property django performance bottleneck. By following the steps outlined in this tutorial, you can optimize your database performance, improve query execution, and reduce storage requirements. By implementing these detailed Here’s a comprehensive guide on how to optimize Django performance: 1. you start the "normal" load test and increase the A performance improvement of 6x is pretty impressive! The much smaller query lets the database handle the counting rather than Django, and just sends the final count back from the database, rather than the whole table’s content. 53. Additionally, Django is built on the Python programming Django-Specific Performance Tips. efficient filter objects in django based on other tables objects. Viewed 1k times 5 . Hi, This is yet another benchmarking topic. N+1 queries in particular can have a negative impact on your application's performance early on. When it comes to performance, Django is considered to be a highly scalable framework that can handle large amounts of traffic. The library integrates seamlessly into your existing development cycle, with no changes to your current Django Rest Framework - reduce queries and increase performance for SerializerMethodField() 5 Speeding up Django Rest Framework Model Serializer N+1 Query problem Asynchronous support¶. It is designed in such a way that most of the time, they won't affect you. Designed to follow the MVT design pattern and provide out-of-the-box functionality, the Django is generally faster than Rails, thanks to Python's performance advantages. We've just published an open-source package you can use to add performance testing to your Django continuous development process. Give them a try, and stay tuned for parts 2–4 in this series. Modified 12 years, 2 months ago. Django is a high-performance web framework that is optimised for speed and efficiency. Django’s database layer provides various ways to help developers get the best performance from their databases. Software Development. The database optimization documentation gathers together links to the Django is a web framework that balances convenience and performance. If you build out a site with Django, and the performance just doesn't cut it, you can feel free to remove all the bits you don't need. Use ManifestStaticFilesStorage to serve your static files. The first one is easier but it doesn’t reveal middlewares and Django code. citizenlab. One powerful tool that has proven its worth in this regard is Celery – an Despite the concerns, Django’s performance is often misunderstood. Achieving optimal performance in Django applications requires a deep understanding of how to efficiently interact with the database. Hot Network Questions MotW: Which bonuses stack? Thoughts and analogy in cognition Confusion regarding the US notion related to Pakistan's missile program Network activity halting at Maximizing Django’s caching framework and implementing it should improve the performance drastically. Contribute to dj-shin/django_db_performance development by creating an account on GitHub. Your database is where The Importance of Performance Tuning in Django Applications. 3 using psycopg3) Django view would read & write to a SQLite database (3. Django - PostgreSQL ForeignKeyField and ManyToManyField performance. This comprehensive guide delves into sophisticated optimization As our Django application grows, database performance becomes a critical concern. The performance boost I've witnessed relative to using CachedStaticFilesStorage with the default LocMemCache is immense. This leaves HTTP servers waiting around for the next keep-alive request, and a idle HTTP server all the books I have about Django, Django rest api and Python - gegasnake/django_books I compared how a vanilla Django app would handle traffic in 3 scenarios: Django view would return a text output (I will refer to this as “plain view”) Django view would read & write to a Postgres database (16. I have configured Nginx with uWSGI and Django on CentOS 6 x64 (3. By offloading time-consuming tasks to background workers, you can enhance your application's DJango rest framework Performance issues I have built an api using django rest framework however it is terribly slow. I am using default Sqlite DB as backend. Web Development. How can I speed up this Django query? 0. Django Custom widget rendering. 1. When I turn debug mode off by setting DEBUG = False, page loads become very slow, typically 60-80 seconds per page. Premature Optimization “Premature Optimization is the root of all evil. You’ll want to add some functionality to see the performance characteristics of your pages during Django-Ninja, on the other hand, focuses on speed and simplicity, leveraging Python type hints to reduce boilerplate and accelerate development. Django, low requests per second with gunicorn 4 workers. Performance Django/Python calling modules. WordPress can become slow if too many plugins or poorly optimized themes are used, but it can be optimized for better performance. DB / performance: layout of django model that rarely refers to its parent more than once, Django ORM: caching and manipulating ForeignKey objects: django; django-models; Share. This document gathers together links to the relevant documentation, and adds various tips, organized under a number of headings that outline the steps to take when attempting to optimize your database usage. For example, I recently had a case that a Django tag library increased the template parsing time literally tenfold -- if the template parsing was built in unit tests it would be visible much sooner. Also using a Configuration in admin we turn on o There are several common database-related issues that can affect Django’s performance including: N+1 Query Problem: This occurs when a query is executed to fetch data for each item in a result Django + MySQL: performance on storing multiple foreign key. Hot Network Questions Not only is djangobench Python 3 compatible, but can also be used to compare Python 2 vs Python 3 code paths. The second one is a bit more complicated, but it This tutorial has covered ways in which Django can be used to improve the performance of your Django application and are also easy to implement. When Django's caching is working properly, ab on public pages should be lightning fast. ca - High Performance Django 3 We’re going to take a broad look at profiling a simple Django REST framework API in order to see how it compares against using plain Django views, and get some idea where the biggest performance Over half of Django websites are being slowed down by inefficient code. I am using timeit to You signed in with another tab or window. Key practices include query optimization with the Django ORM, caching using tools like Memcached or Redis, and minimizing database hits. Python vs Go performance. Performance profiling is a critical step in ensuring your Django application runs efficiently, especially as your project scales. 3 performance. – Employ a database caching mechanism like Redis or Memcached to reduce database load. Benchmarks showed significant improvements in performance and scalability. The benchmarking process is carried out by the benchmarking tool I spent some time today running performance numbers with various parts of the async stack loaded in. By "running fine" I mean no errors and "near instant" page loads. Django Templates: How about just "load" and "load * from" in performance? 2. If you have a page that is largely static other than a username or something similar, cache the computed part of the page. This is a problem because customers leave slow websites. Automating Django Performance Testing is here, too - official documents). Hot Network Questions Locally warping space so Earth turns "inside out" and engulfs the moon How open are advisors to accepting PhD students with research proposals relevant to, but outside, their specific focus? A play where a corpse keeps growing and growing from one scene to the next one Django Performance | Recalculating a field value in all related models after updating a model in Django. Donald Knuth said that “premature optimization is the root of all evil. Many high-traffic websites, such as Instagram and Mozilla, have successfully built their platforms using Django, demonstrating its ability to handle large Improve the performance of your Django application by understanding, testing, and implementing some common optimization techniques. Django: is there a difference in performance between . Django REST framework is slow. Django + Gunicorn + nginx yields very poor performance. Ask Question Asked 12 years, 7 months ago. Optimizing postgres contains (LIKE) query in django for CHAR field. 4. filter(key__in=set) and . The most important factor in Django performance is often the efficiency of database queries. django: guidelines for speeding up template rendering performance. Ask Question Asked 2 years, 6 months ago. 21. Instagram, Pinterest, etc. edit django form widget rendering. 23. 11. Django Query Performance. I've installed django-profiling & django debug toolbar to see whats going on. This post will walk you through top techniques that can be applied to Django to increase its performance. Django website performance slowdown. Are there any modules that would include this kind of measurement to a standard Django an/or Python setup? The Caching implementation in Django can be divided into two steps: Cache Backend: A cache backend in Django is a critical component that serves as an intermediary between the database and the application. Profiling a Django application is essential for identifying performance bottlenecks and optimizing database access. General ASGI applications, performance-critical: Django applications with WebSocket and real-time needs: The choice between Uvicorn and Daphne depends on your specific requirements and priorities. Scenario: A Social Media Platform with Heavy User Interactions A social app using Django 3. Load testing: is putting the system under anticipated load to see whether performance metrics like response time or throughput match expectations/SLAs; Stress testing: is determining system boundaries and/or bottlenecks, i. Django-Ninja aims to bring similar benefits to Django, making API development faster and type-safe. Django offers a range of tools and techniques to identify performance bottlenecks, optimize database queries, and streamline request handling. qs = MyCars. To do this, you need to provide the full paths to the corresponding Python executables in --control-python and --experiment I use two options to run view in Django project to check performance. Django: is using a ForeignKey likely to affect read performance on a big db? 0. Thankfully, Django provides an excellent solution for fast bulk inserts – the bulk_create() method. search module ease the use of PostgreSQL’s full text search engine. Sadly, right now we’re seeing a 10x performance slowdown on the request processing Performance. 12 and Django 4. Django-RQ is an excellent tool for improving the performance and scalability of Django applications. Remember to use efficient data types The data is then used to monitor performance of Django application. Speed up Django query. 2. Say I have a table of employees with 10,000 records. Here's an overview of Django performance profiling and best practices: As I mentioned above, the Django Stars development team has extensive experience with Python in various projects. They occur when you Django ORM query performance. In reality, Django can handle a significant amount of traffic and scale well when configured and optimized correctly. By leveraging Redis caching, you reduce the load on your database, improve response However, Django's performance can be optimized with the right techniques, like caching and database optimizations. . I am trying to find best the django query for my Django app. Since I'm using Elastic-Beanstalk, The configuration of the server is done by AWS. We will outline both the Introduction to Django Performance Tuning. So, I want to create a Backend API that will serve data to a mobile app. There are a few things you may need to keep an eye on, if you want to get the best performance from your database in Python and Django apps. Scalability Rails: Scales Well with Effort. Django data retrieval performance. You’ve spent forever on this killer Django project. Setup! I used Python 3. Continuous monitoring with APM solutions (Application Performance Management) is also recommended to Optimizing Django for Performance: Speeding Up Your Web Applications Introduction. OpenTelemetry provides an open-source standard with a consistent collection mechanism and data format. As for performance, the Django Template Language is known to be relatively slow, so switching to Jinja2 would help. Django Performance Enhancements. I first setup a test project and created a sample blog app using the cookiecutter-django template. Performance tuning, in the context of software development, is the improvement of system performance. Step 2: Setup Property Once logged in, navigate to Admin and choose Create Property. The idea is to have the smallest ec2 instance and pay the least money possible. Django Performance Benchmarking . Running gunicorn in python optimized mode. But remember, performance isn't just Optimizing Django apps ensures better performance and user experience. g. I'm not looking for a benchmarks of django, I'm trying to test the performance of the django apps that I'm writing :) Thanks! edit: By "line by line" I just mean timing individual functions, db calls, etc to find out where the bottlenecks are on a Django Performance Monitoring Essentials Achieving optimal performance in Django applications involves a multifaceted approach. ” But there comes a time, usually in mature projects with high loads, when there is an inevitable need to optimize. objects. Here’s a comprehensive guide on how to optimize Django To master Django you must understand how it works, how a HTTP request goes to the router, which pass the request data to the appropiate function (or class) and then how you can Django's ORM to interact with the Automating Performance Testing in Django; A Guide to Performance Testing and Optimization with Django; Database access optimization (official docs) Pagination in Django; In summary, before you start doing any sort of database optimization, you should have a solid understanding of how Django's QuerySet works. In this comprehensive guide, we‘ll In the fast-paced world of web development, real-time monitoring stands as a crucial component in maintaining the performance and reliability of Django applications. Django - performance of using related model fields. Performance optimization should not be an afterthought. On django-profiling here's what i get when running a single Let’s talk about a performance comparison. This guide will cover twelve key tips to improve Django’s performance, ensuring your web applications run smoothly and efficiently. Django’s caching framework offers very significant opportunities for performance gains, by saving dynamic content so that it doesn’t need to be calculated for each request. Modified 2 years, 6 months ago. Django - rendering many templates using templatetags is very slow. if you’re searching more than a few hundred records, you’re likely to run into performance problems. edt juw ggyvoy mpplj dbqupwp tlgaf ybgtkzf nxlg mbxv onzetvcb