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Django VS Saturn Cloud

Compare Django VS Saturn Cloud and see what are their differences

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Django logo Django

The Web framework for perfectionists with deadlines

Saturn Cloud logo Saturn Cloud

ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.
  • Django Landing page
    Landing page //
    2018-09-30
  • Saturn Cloud Homepage
    Homepage //
    2024-03-11

Saturn Cloud is an award-winning ML platform with 75,000+ users, including NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. It is an all-in-one solution for data science & ML development, deployment, and data pipelines in the cloud. Users can spin up a notebook with 4TB of RAM, add a GPU, connect to a distributed cluster of workers, build large language models, and more in a completely hosted environment.

Data scientists and analysts work best using the tools they want to use. You can use your preferred languages, IDEs, and machine-learning libraries in Saturn Cloud. We offer full Git integration, shared custom images, and secure credential storage, making scaling and building your team in the cloud easy. We support the entire machine learning lifecycle from experimentation to production with features like jobs and deployments. These features and built-in tools are easily shareable within teams, so time is saved and work is reproducible.

Django features and specs

  • Rapid Development
    Django allows developers to swiftly create web applications with its 'batteries-included' philosophy, providing built-in features and tools out-of-the-box.
  • Scalability
    Django is designed to help developers scale applications. It supports a pluggable architecture, making it easy to grow an application organically.
  • Security
    Django includes various security features like protection against SQL injection, cross-site scripting, cross-site request forgery, and more, promoting the creation of secure web applications.
  • ORM (Object-Relational Mapping)
    Django’s powerful ORM simplifies database manipulation by allowing developers to interact with the database using Python code instead of SQL queries.
  • Comprehensive Documentation
    Django offers detailed and extensive documentation, aiding developers in effectively understanding and utilizing its features.
  • Community Support
    With a large and active community, Django benefits from numerous third-party packages, plugins, and extensive support forums.

Possible disadvantages of Django

  • Steep Learning Curve
    For beginners, Django’s complex features and components can be challenging to grasp, leading to a steep learning curve.
  • Monolithic Framework
    Django’s monolithic structure can limit flexibility, potentially resulting in over-engineered solutions for simpler, smaller projects.
  • Template Language Limitations
    Django’s template language, while useful, is less powerful compared to alternatives like Jinja2, limiting functionality in complex frontend requirements.
  • Heavyweight
    Django's comprehensive feature set can result in high overhead, making it less ideal for lightweight applications or microservices.
  • Opinionated Framework
    Django follows a ‘Django way’ of doing things, which can be restrictive for developers who prefer less constrained, highly customized coding practices.
  • Lack of Asynchronicity
    Django’s built-in functionalities do not fully support asynchronous programming, which can be a limitation for handling real-time applications and processes requiring concurrency.

Saturn Cloud features and specs

  • Scalability
    Saturn Cloud allows users to scale their computational resources up or down easily, which is beneficial for handling varying workloads.
  • Managed Environment
    It provides a managed environment for data science projects, meaning users can focus more on their data analysis without worrying about infrastructure maintenance.
  • Collaborative Features
    Tools like Jupyter notebooks and dashboards can be shared among team members, fostering better collaboration.
  • Integration with Popular Tools
    Saturn Cloud integrates well with popular data science libraries and platforms such as Dask, PyTorch, and TensorFlow.
  • Cost-Effectiveness
    It often provides a more cost-effective solution compared to setting up and maintaining an on-premise infrastructure.

Possible disadvantages of Saturn Cloud

  • Learning Curve
    New users may face a learning curve to understand and utilize all the features effectively.
  • Dependency on Internet Connectivity
    Since it's a cloud-based service, access is heavily reliant on internet connectivity, which can be a limitation in areas with poor connection.
  • Pricing Complexity
    Understanding the pricing model can be challenging, as costs may vary based on usage and resource allocation.
  • Vendor Lock-in
    Using Saturn Cloud or any cloud platform can potentially lead to vendor lock-in, making it difficult to switch providers without significant cost or effort.

Django videos

+ Add

Python Django

Saturn Cloud videos

+ Add

Getting Started with Saturn Cloud

More videos:

  • Review - SATURN CLOUD || ECLIPSE || BLENDERS EYEWEAR || UNBOXING
  • Review - Saturn Cloud: Overview

Category Popularity

0-100% (relative to Django and Saturn Cloud)

Django

Saturn Cloud

Web Frameworks
100 100%
Web Frameworks
0% 0
Office & Productivity
0 0%
Office & Productivity
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using Django and Saturn Cloud. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Django and Saturn Cloud

Django Reviews

The 20 Best Laravel Alternatives for Web Development
The first of these Laravel alternatives is Django. Django’s like that one-stop shop where you grab everything you need for a full-blown web project, all off one shelf. It’s the big-brained Python framework that anticipates your moves, keeping you steps ahead with a crazy stack of built-in features.
Source: tms-outsource.com
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
25 Python Frameworks to Master
You won’t go wrong by choosing Django for your next web project. It’s a powerful web framework that provides everything you need to build fast and reliable websites. And if you need any additional features — say, the ability to create a REST API to use with modern frontend frameworks like React or Angular — you can use extensions like Django REST framework.
Source: kinsta.com
3 Web Frameworks to Use With Python
myproject/ is the directory that contains the configuration and settings for the Django project__init__.py is an empty script that tells Python that this directory should be treated as a Python packageasgi.py is a script that defines ASGI application (Asynchronous Server Gateway Interface) for serving this project. ASGI is a specification for building asynchronous web...
Source: www.stratascratch.com
Top 10 Phoenix Framework Alternatives
Phoenix borrows heavily from other frameworks built on the Model-View-Controller (MVC) architecture, like Rails and Django, providing a large part of everything you need to develop a web app out of the box, albeit in a less “batteries included” manner.
Source: blog.back4app.com

Saturn Cloud Reviews

  1. Guest
    Great UI and great Prices

    I have used many alternative platform but nothing comes close to this

  2. Filip
    One of the best cloud based solutions for data science projects

    Smooth and bug free experience. There are ready data science images with pre loaded packages for most common scenarios, making you focus on the project/problem and leave the infrastructure part to Saturn Cloud.

    👍 Pros:    Easy jupyter setup with boot scripts|Dask support|Easy to spin cluster for model training or grid search|Great and minimalistic ui
    👎 Cons:    Access to cheaper spot instances needed
  3. Anh Q Nguyen
    · Student at University ·
    Amazing computes

    True story, way better than just sweating Colab. The best and cheapest compute services there is.

    👍 Pros:    Cheap price|Easy to use|Can use terminal
The Best ML Notebooks And Infrastructure Tools For Data Scientists
Saturn Cloud hosts Jupyter Notebooks and has seamless management capabilities for Python environments on the cloud. You can start a project by creating a Jupyter notebook and selecting the disk space and your machine’s size. The configurations meet the requirements for most of the practical data science projects. Automatic version control, customisable environments, and a...
Source: analyticsindiamag.com

Social recommendations and mentions

Based on our record, Django should be more popular than Saturn Cloud. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Django mentions (15)

  • Emails Setup in Django Using AWS
    Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / 10 months ago
  • Top 10 Backend Frameworks in 2022
    Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / over 2 years ago
  • Boss wants me to make a student management system
    This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so I’d recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 3 years ago
  • What's django equivalent to ruby gems? Django beginner here
    The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: almost 3 years ago
  • What's django equivalent to ruby gems? Django beginner here
    Im teaching myself to build a backend SaaS. Can you build it just as fast as with RoR and gems? Is it all on the documentation on djangoproject.com? Just learning how to use it atm, any good tutorials as well? Source: almost 3 years ago
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Saturn Cloud mentions (7)

  • How I suffered my first burnout as software developer
    After the MLOps tooling evaluation, our focus shifted to data engineering. Some teams in the company were already using tools like Dask and xarray to manage and process their datasets. The architect was determined to build a data lake for the organization. The vision was to make xarray datasets accessible via Intake, using a Dask-capable computing platform. For the compute platform, we explored services like... - Source: dev.to / 5 months ago
  • Where to run computationally intensive analyses?
    Not 100% sure of your intention, but if you work with python, and you're familiar with (or can spend the time learning) dask, and willing to pay, you can consider coiled.io or saturncloud.io that offer managed dask that you can scale and use GPUs etc (again, not sure if applicable to your use case). Source: over 2 years ago
  • free-for.dev
    SaturnCloud - Data science cloud environment, that allows to run Jupyter notebooks and Dask clusters. 30 hours free computation and 3 hours of Dask per month. - Source: dev.to / over 2 years ago
  • [P] Serverless Jupyter Labs with GPUs, CPUs and high-speed storage
    I think your site looks good and I have used the type of service you offer, but there are 2 potential problems. As SheepherderPatient51 said,Google already offers all of this for free (and so does https://kaggle.com and https://www.paperspace.com ).  There are also other sites just like yours such as https://deepnote.com,https://saturncloud.io, and https://lambdalabs.com . Source: over 2 years ago
  • Show HN: Free Hosted JupyerLab with GPU
    * How does it differ from other GPU cloud providers that offer ready to use Jupyter notebooks? (E.g. https://support.genesiscloud.com/support/solutions/articles/47001170102-running-jupyter-notebook-or-jupyterlab-on-your-instance or https://saturncloud.io/). - Source: Hacker News / about 3 years ago
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What are some alternatives?

When comparing Django and Saturn Cloud, you can also consider the following products

Laravel - A PHP Framework For Web Artisans

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...

Deepnote - A collaboration platform for data scientists

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics

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