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Django vs Tornado: What are the differences?
Introduction
In this article, we will explore the key differences between Django and Tornado, two popular web development frameworks.
Performance: Tornado is known for its asynchronous, non-blocking I/O capabilities, making it highly performant and suitable for handling large numbers of concurrent connections. On the other hand, Django follows a synchronous approach, which may result in decreased performance when dealing with high traffic loads.
Scalability: Tornado's asynchronous nature allows it to easily scale to handle thousands of connections, making it ideal for applications that require high scalability. Django, while suitable for small to medium-sized projects, may require additional configuration and setup to achieve similar scalability.
Built-in Features: Django is a batteries-included framework, offering a wide range of built-in features and tools for rapid development, such as an ORM, authentication system, admin interface, and more. Tornado, on the other hand, provides a lightweight core with minimal built-in functionality, allowing developers to choose and integrate the desired components themselves.
Development Approach: Django follows a conventional, monolithic approach, where a single codebase handles both the application logic and the server functionality. Tornado, however, is a microframework that focuses primarily on request handling, leaving the application logic responsibilities to the developer. This gives Tornado greater flexibility and allows for easy integration with other libraries and frameworks.
Community and Documentation: Django has a large and active community, with extensive documentation and a wide range of third-party libraries and packages available. Tornado, being a relatively newer framework, has a smaller community and fewer resources available. This may result in more limited support and a smaller ecosystem of complementary tools.
Learning Curve: Django follows the "batteries-included" philosophy, which can make it easier for beginners to get started and quickly build web applications. Tornado, being a more lightweight and low-level framework, has a steeper learning curve, requiring a deeper understanding of concepts such as asynchronous programming and event-driven architecture.
In summary, Django is a feature-rich framework suited for rapid development with a large community, while Tornado offers high performance and scalability with a more lightweight and flexible approach to web development.
So currently I have experience in Node.js, but just to expand my stack knowledge and for getting backend developer roles, I thought of learning another backend-related language/framework. I have heard about Django, Golang, and Spring. I am mostly trying for backend API roles, and far as I've heard, Django REST framework can be a pain to work with. I've heard there are issues with Golang for package management (like how recently the Gorilla web toolkit is archived) and as for Spring, it's a vast ecosystem to learn so not sure if it's worth investing in. I would like to know which tool/framework to learn, which can help me get high-paying jobs and has a lot of scopes, and also which is great for making REST APIs. Any other tool that can do the job better than these three is also welcome!
Try thats, is really lightweight and little bit similar like node, before you jump on djanggo stuff, hopefully it's helpful https://fastapi.tiangolo.com/
I'm really interested in building minimalistic web products with extra stuff like Stripe, MongoDB, solidity, WebAssembly and three.js.
Want to choose my backend lang but am unable to choose, my requirement is:
- fast dev
- minimal
- easy to learn
- good for saas
- huge community
- scalable
- fast and interactive
- good job market (not important)
If you want an ’easy-to-learn’ and ‘fast dev’ environment I would go with React.js, Node.js, and Firebase. This is probably one of the easiest tech stacks to develop and offers great scalability without creating a complicated database structure. Furthermore, it’s almost hard to develop a react application that isn’t lightning fast.
Should I continue learning Django or take this Spring opportunity? I have been coding in python for about 2 years. I am currently learning Django and I am enjoying it. I also have some knowledge of data science libraries (Pandas, NumPy, scikit-learn, PyTorch). I am currently enhancing my web development and software engineering skills and may shift later into data science since I came from a medical background. The issue is that I am offered now a very trustworthy 9 months program teaching Java/Spring. The graduates of this program work directly in well know tech companies. Although I have been planning to continue with my Python, the other opportunity makes me hesitant since it will put me to work in a specific roadmap with deadlines and mentors. I also found on glassdoor that Spring jobs are way more than Django. Should I apply for this program or continue my journey?
I would recommend you change and get the easy path, but there's no easy path. When you are working in something like development you have to learn every day, stick with a specific niche, learn from others to apply to yours, and improve to be a specialist. If Spring and Java are technologies you're not enjoying, why are you going to waste your time with them? If you check the market, the higher salaries are in the specialization. For example, I was sticking with Erlang and Elixir in high volume, high availability, and concurrent systems. Don't check the number of works about Python, Java, or whatever else, you only need one job, and you have no idea about the quality of these. Most of the demanding jobs for Java, Python, and PHP are usually not covered because they request a lot and pay too less. Believe me, there are not a lot of Erlang and Elixir jobs and I always found one. And finally, don't expect too much from big companies, they are all glamorous from the outside, but they are usually a deception when you start working for them.
Hi Mohamed, I love Django for its "batteries included" philosophy, meaning that you get the backend for free and a lot of stuff for database abstraction. But often you just need some kind of webserver backend logic and Django is oversized for that purpose. In that case I go with Flask which has a modular approach so that you need to gather the parts yourself that you need. If you come from a Python background I think there is a lot to explore with Python for the web and it very well into the data science landscape.
Hi everyone! I'm starting a personal project that I've been postponing for a little while and I need a bit of advice. I thought that it will be a bit of a challenge but I figure the best way to learn is by doing!
The plan is to build an app with loads of automation build in for reporting which would make it very easy to perform tasks, The plan is to build something similar to an HR app using microservice architecture, separating services e.g. employee data, payroll (including calculations based on easily entered info like tax %), employee services (vacation, sick day allowance booking and tabulation) and automated reporting on a pre-defined schedule (bi-weekly, monthly).
I am considering Django (as I currently know a bit of Python) and Symfony (as a friend who is a developer recommended it) but I am well aware there are other (and probably better) tools out there for the job (like maybe ExpressJS/Node.js for the backend and React/Vue.js for the front).
Background:
I have got knowledge as a DevOps, Site Reliability and Cloud engineer so once the app is built I'm very comfortable taking it to deployment.
Thank you all for your help and responses.
Hi. I guess it all depends on what your goal is. If you wanna make fast prototyping Django or ExpressJNodeJS might be really good candidates. You can write your services quickly and easily by using anyone of them. Maybe we can also put Laravel in the same category.
Symfony is also another application framework that comes with many reusable components. It provides great flexibility with the configuration and dependency management solutions. So that you can inject or override anything, anytime without doing something hack-ish. You don't have to depend on any components that come with the framework and, replace them with whatever you prefer unless encounter any integration issues. I can say that Laravel also provides most of the Symfony futures as it uses its components under the hood. However, my personal experience with Laravel was not so good because it made me feel like I use a modernized version of Codeigniter. But anyway. :) So if I have to choose one of them, I would choose Symfony.
From the backend perspective, all of those have some pros and cons. For example, If strict type declaration is important for you and you don't like code magics like monkey patching etc., maybe Python and NodeJS might not be good candidates and maybe you could choose Symfony/php. However, in this case, you'll be missed out on the most powerful future of NodeJS which is non-blocking io. if you plan to do IO-intensive works, I think it would be a big loss.
So, maybe I can recommend you to have a look at typescript + NestJS also. https://nestjs.com/ The futures that NestJS provides might be a good balance between the strengths of Symfony and NodeJS.
As I'm backend dev., I haven't work too many frontend projects but from my personal experience, I loved ReactJS more than Vue although Vue was simpler. Maybe a front-end developer can give us more helpful details about those.
Hope it helps.
I am wondering which language would you guys suggest learning if productivity & "future-proofing" is the focus?
I have now 2 years of experience with React Native & Firebase and 3 years of experience with Next.js and ExpressJS. As I like the idea of separating backend & frontend I think as a solo developer the MVC approach will get you way further and overall I started second guessing the whole js ecosystem and its quality.
What I am currently considering the most is Django, even if I am giving up major productivity I think the opportunities Python offers with AI/ML & scrapping are way superior then Rails. I would like to know how much productivity would get lost by deciding on Django.
Python is simple to read. Easy to use and import libraries. It is widely used in many different application domains. It is very easy to learn compared to other languages.
Considering your background is in front end technology; why not try some other language that can help you become more well rounded? Besides, there are always more and more python jobs.
Django is very easy to learn. If you use Django, I recommend the Django-Rest-Framework. This will save you a lot of time. But you need to understand some Python first. I think Python is as simple as: interpreted, dynamically typed language where you use lists and dictionaries a lot.
I need advice. Am currently building a real estate marketplace mobile app using Flutter for frontend. I am not sure which backend solution to use, and thinking of using Firebase, Django or Laravel for backend and MongoDB/MariaDB for the database. I want to build an API backend and then use RESTful API calls for the frontend.
I think you should first choose either a database or server side programming language then you can streamline your other choices based on that, but I think if you are building a big project then going with django + firebase / mongodb would be a good choice else choose laravel + firebase.
Hi all. I want to rewrite my system. I was a complete newbie 4 years ago and have developed a comprehensive business / finance web application that has been running successfully for 3 years (I am a business person and not a developer primarily although it seems I have become a developer). Front-end is written in native PHP (no framework) and jQuery with backend and where many processes run in MySQL. Hosted on Linux and also sends emails with attachments etc. The system logic is great and the business has grown and the system is creaking and needs to be modernised. I feel I would stick with MySql as DB and update / use Django / Spring or Laravel (because its php which I understand). To me, PHP feels old fashioned. I don't mind learning new things and also I want to set the system up that it can be easily migrated to Android/iOS app with SQLite. I would probably employ an experienced developer while also doing some myself. Please provide advice -- from my research it seems Spring/Java is the way to go ... not sure. Thanks
PhP might be old fashionned but Laravel is really great. I've tried nodeJs backend with express, python with flask and a little bit of serverless, and quite frankly, laravel was by far the best in my opinion. It has a lot of official packages that speeds up development (from authentification to serverless deployement), it also uses Eloquent ORM that support Mysql databases. Finally it works great with VueJs for the front end development.
I recommend ExpressJS or NestJS as BackEnd and React as Front-End and PostgreSQL as the database. The reason is as follows. First of all, since it is a financial system, various services will exist, and each service must be well connected and combined with each other. The organic combination of small services that work very well is the foundation of a great system. For this, it is best to use Node.js based, and I think ExpressJS or NestJS is the best choice. We recommend choosing React or Vue as the FrontEnd. PostgreSQL is currently the best performing database. These three combinations have many examples, and their superiority has been confirmed by my implementation in many projects already. If you are interested in my advice and have any questions, please feel free to contact me.
On my end for me it's better to choose Laravel. It has very good documentation and easy to code. The framework supports MVC and you can create either monolithic or API only. The community is also big. If you combined a Domain Driven Development (DDD) and Test Driven Development (TDD) on Laravel then it will be a superb.
Since you are using PHP more natural is Python - it can handle high traffic - Python is very effective in coding. Python is superset of Java and C++ - True Object Oriented and have very clear syntax (Spring is hard to learn and debug - you can be confused many times). It is human readable you can code 2-4 times faster with small speed sacrifice. Jinja2 is more faster/flexible Django - whatever Django is better with ORM. Flask is just proposal - many other options of web servers.
Hi everyone, I have a new venture project, we do frontend development mainly with Tailwind CSS, JavaScript, CSS, HTML, and React. This project will run on a cloud platform and it will be a web platform with data analysis. At Backend, we can't decide which technology to continue with. We will necessarily use Python for data analysis and algorithms, but should the backend be written with Django or C# .NET, can I get your suggestions within the cloud platform? Price performance is our priority.
If you are already committed to Python for the data analysis then it would make sense to use Django for the framework and stick with Python throughout. In general the fewer technologies you use (unless there is real justification) will improve process and long term costs.
All things being equal the fact you would not have less (likely no) licensing costs with a Python based solution will overall reduce your long term costs.
If you will be doing data analysis and complex algorithms Django is best suited for this because of it' maturity and the huge communities providing lots of Python libraries for data analysis and more.
Hi everyone! I'm starting a personal project that I've been postponing for a little while and I'm starting with the backend first.
It's an app that needs to query open APIs (It could go up to a hundred APIs) and do filtering and other manipulations onto the data and then store it in my own database. So basically, the end result medium/long term is a lot of data!
Besides filtering/storing data from other APIs, the API will interact with my client application. I should note that the client app attempts to give real-time information.
Question: I would want to launch the API within 6 months as I'm also planning to make it available for other devs through platforms like RapidAPI. With all being said, my question is twofold:
Which backend framework would allow me to do these operations with the best response time possible?
Which framework would be the easiest to deal with deployment on AWS?
Background:
I have a background in Spring since I'm using it at work, I have none in Rails and Django but I don't mind trying something new as long as the learning curve isn't crazy. I know python but not Ruby. Beginner on AWS and choose that one after some research.
Thank you very much, sorry it was a bit long. Cheers
The most relevant part is the central architecture more than the specific backend. For me, it makes sense to go for an event-driven solution. In this case, an event is emitted on every new data, and one or more listeners react to it. In AWS, you can easily get this by storing your data in DynamoDB, which is pretty fast, and have as many lambdas working on the received data (here you can find more details). This way, you keep your worker(s) busy fetching data while others consolidate it. I wouldn't get too crazy on the lambdas, and I'd start with one as there will be only one client by your description. My only concern is how similar the APIs you're consuming are. Depending on that, it may be easier to have different lambdas by target API. My only note on the backend language is that if you want low latency, I'd discard Python and Ruby and choose Go (I know that is not in the list, but given that you're open to learning a new language, you could give it a try). It is easy to learn, has excellent performance, and is the only Lamdba runtime with an X (1.X) in the supported language, making it a great choice.
Hi, I am a professional accountant, not a computer programmer but I know programming concept and love it, in past have learned VB.Net in the year 2008. I want to use my accounting experience in programming by developing Web-Based ERP/Accounting Software integrated with to eCommerce platform. I want to develop ERP and eCommerce for a particular industry which can be used by 100+ companies. I am not very sure which programming language and framework I should use for the project. I found that Python-Django is the most powerful platform/framework to build any kind of application. Sometimes I am thinking about ASP.NET because I have learned little .Net concept. Now I want to invest my time and money in something which is very robust and helps to develop my project. So, I am very much confused between ASP.Net or Django. Please could anybody advise me which framework would be ideally good to develop this project which will carry for coming many years... Many thanks for your suggestions and advice.
If you already have some knowledge in C# you can go with ASP.NET Core MVC and continue your learning path (if you liked the language in the first place). but both solution will allow you to build an ERP/eCommerce project.
There is not too much difference between Django and ASP.Net Core MVC both follow the same design principles for building application, they both flexible, provide a lot of library, have a great community support..
The downside (thats my opinion) with ASP.Net Core you are going to follow the Microsoft philosophy of doing thing and you will mostly by tight to there products lineup. Instead of Django where you'll have more freedom.
If your concern is - Robustness: both are valid choice - Long Term Support: Go ASP.Net why? Because the project is maintained by Microsoft the chance that the project go unmaintained is low. Django is more Open Source we never know when it will stop be maintained.
The best I can give you, it's to try both and make your own opinion. Build a Proof of Concept and see by yourself.
If you are starting from scratch, I would recommend Express.js as a backend web framework. It is faster and more flexible than Django. Express makes it easy to build web applications offering numerous benefits such as efficiency and quicker development times. Some features that are worth mentioning: middlewares, templating, routing, and debugging.
The most important element that is missing the stack is the database. A Web-Based ERP/Accounting Software require a powerful Relational Database to comply with ACID princliples (Atomicity, Consistency, Isolation and Durability). By atomicity, we mean that that database is able to perform the transactions in an atomic manner. A transaction is just a single unit of work, which can either be one query, or multiple queries. Let's say that we have two accounts. And we need to transfer $100 from account one to account two. Now this transfer is just one transaction, but it is going to consist of three different steps. The first step is checking if the account one does have $100. The second would be upgrading the amount of account one to be $900. And the third would be taking this $100 and making the balance and account two be $200. If the database does support atomic transactions, if one of these three steps fail, the whole transaction should fail. This is what atomicity is.
Consistency means that the database should help in achieving the correct data state, adding certain constraints. We can add a constraint on the amount column that it can never be negative, and the database must make sure that this constraint must always be followed.
Then, we have isolation, which is mainly about the concurrency control. Let's say that we have an account which has $1,000, and there are two persons A and B trying to get the money out of this account. So $1,000 and $100. If we let both of these transaction happen at the same time, this would result in the reduction of $1,100. So the balance will result in the negative $100. Isolation prevents this to happen.
Finally, durability means that once a transaction is committed, the data must be written to the non volatile memory or the storage. So that even if the crash happens or something wrong happens with the database, the data must be there and not be corrupted.
In terms of relational database my recomendation is using Postgres. Postgres is an object-relational database, while MySQL is a purely relational database. This means that Postgres includes features like table inheritance and function overloading. Postgres also adheres more closely to SQL standards.
I found that Python-Django is the most powerful platform/framework to build any kind of application. It's not. Even you change "Python-Django" to something else, it still will not be a valid statement. Each tool/service/language/framework has advantages and disadvantages and should be considered in each case separately.
Next, Python is a scripting language, C# is a typed one. For serious projects in most cases typed languages are the better choice.
Finally, if you have some .NET experience, ASP.NET Core looks obvious choice.
ASP.NET will work better in a windows environment. Django probably works better in a Unix environment. I feel like there are a lot more hosting options for Django on Unix (digitalocean, Heroku, Linode, AWS, ...).
So, I think Django.
However, I like Unix and python better, so I'm biased.
Graphul is an Express inspired web framework using a powerful extractor system. Designed to improve, speed, and scale your microservices with a friendly syntax, Graphul is built with Rust. that means Graphul gets memory safety, reliability, concurrency, and performance for free. helping to save money on infrastructure.
A developer and project manager from our team X says the following about our use of Rails at i22:
"We use Rails to build stable and flexible backend systems. Rails is extremely good for managing data structures and quickly setting up new systems. It is the perfect base for most use cases."
I asked the same Team X member why the team prefers to work with Ruby on Rails, rather than Python and Django:
"Because Python is a scripting language and from my point of view not suitable for building stable web services. Python is for me rather good for scripts and fast small tools. Not for stable business applications. And if I want it fast I prefer Go."
I inherited a large Python Django application as part of a corporate re-structure. After careful analysis, working with the new team, we decided to break the monolith into a microservices architecture. While doing so, we managed to port some of those microservices into Spring boot. Better performance and widely available expertise within my current team made me make this decision.
We’re a new startup so we need to be able to deliver quick changes as we find our product market fit. We’ve also got to ensure that we’re moving money safely, and keeping perfect records. The technologies we’ve chosen mix mature but well maintained frameworks like Django, with modern web-first and api-first front ends like GraphQL, NextJS, and Chakra. We use a little Golang sparingly in our backend to ensure that when we interact with financial services, we do so with statically compiled, strongly typed, and strictly limited and reviewed code.
You can read all about it in our linked blog post.
This website was originally written in Yii as PHP was my main language back then. After learning Django, I realized just how quickly you could build a web app with less lines. So I migrated my website to Django in a week or two and managed to cut down the lines of code by half. Some of the lines saving came from the models, the views, and the expressiveness of Python. Django requires like config for the models and they provide many generic views that abstracts away common patterns.
I am planning to develop project management system SAAS based. Can any one help me with selection of platforms from Django or Laravel and for database MongoDB or Firebase/Firestore or MySql? On front end I am going to use Quasar Framework (VueJS). Note : project will be Webapp, Mobile app and desktop app.
We will use Django
to set up our backend and Django REST Framework
(DRF) for our API creation. The easiness of performing development tasks (eg. user authentication, URL routing, and schema migration) attracts our attention. Also, Django with PostgreSQL provides many benefits:
1. Some data types in Django will only work with PostgreSQL;
2. Django offers django.contrib.postgres to operate on PostgreSQL;
3. Django supports many features of PostgreSQL.
Moreover, Django is compatible with Redis.
I have used both the tools . Both of them are super awesome , very reliable and their learning curve is also super easy. But, the reason I choose Ruby on Rails over Django is the fact that the dependency injection is super easy in Rails than Django. What I mean is the fact that, Django requires a lot of import statement to do a lot of work, which remembering is not so easy and even after that you may need to write a lot of code. But Ruby on Rails uses gem to add addition feature or dependency in the project. Which requires just copying the gem statement from github and pasting it in the Gemfile, then running bundle install(these days just bundle works super fine). And there you are with the new feature in your app. You can see this with the example of Authentication, where in Django you require several steps like adding class based views and many more, but in rails it's just as easy as installing the 'devise' gem . And if you want to make it beautiful use bootstrap_template gem to make it look prettier. Now with Rails 6 , Rails is a total developer's fervent friend because it has come up with features like Action Mail and Action Text.
i find python quite resourceful. given the bulk of libraries that python has and the trends of the tech i find django which runs on python to be the framework of choice to the upcoming web services and application. Laravel on the other hand which is powered by PHP is also quite resourceful and great for startups and common web applications.
Since I came from python I had two choices: #django or #flask. It felt like it was a better idea to go for #django considering I was building a blogging platform, this is kind of what #django was made for. On the other hand, #rails seems to be a fantastic framework to get things done. Although I do not regret any of my time spent on developing with #django I want to give #rails a try some day in the future for the sake of curiosity.
Pros of Django
- Rapid development673
- Open source488
- Great community425
- Easy to learn379
- Mvc277
- Beautiful code232
- Elegant223
- Free207
- Great packages203
- Great libraries194
- Comes with auth and crud admin panel80
- Restful79
- Powerful78
- Great documentation76
- Great for web72
- Python57
- Great orm43
- Great for api41
- All included32
- Fast29
- Web Apps25
- Clean23
- Easy setup23
- Used by top startups21
- Sexy19
- ORM19
- The Django community15
- Allows for very rapid development with great libraries14
- Convention over configuration14
- King of backend world11
- Full stack10
- Great MVC and templating engine10
- Mvt8
- Fast prototyping8
- Its elegant and practical7
- Easy to develop end to end AI Models7
- Batteries included7
- Cross-Platform6
- Very quick to get something up and running6
- Have not found anything that it can't do6
- Zero code burden to change databases5
- Great peformance5
- Python community5
- Easy Structure , useful inbuilt library5
- Easy to use4
- Map4
- Easy to change database manager4
- Full-Text Search4
- Just the right level of abstraction4
- Many libraries4
- Modular4
- Easy4
- Scaffold3
- Node js1
- Built in common security1
- Great default admin panel1
- Scalable1
- Gigante ta1
- Cons1
- Fastapi1
- Rails0
Pros of Tornado
- Open source37
- So fast31
- Great for microservices architecture27
- Websockets20
- Simple17
- Asynchronous14
- Python11
- Lightweight7
- Handles well persistent connexions3
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Cons of Django
- Underpowered templating26
- Autoreload restarts whole server22
- Underpowered ORM22
- URL dispatcher ignores HTTP method15
- Internal subcomponents coupling10
- Not nodejs8
- Configuration hell8
- Admin7
- Not as clean and nice documentation like Laravel5
- Python4
- Not typed3
- Bloated admin panel included3
- Overwhelming folder structure2
- InEffective Multithreading2
- Not type safe1
Cons of Tornado
- Event loop is complicated2