Flutter is an open-source mobile application development framework created by Google. It is used to develop applications for Android and iOS, as well as being the primary method of creating applications for Google Fuchsia.
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Spyder
Score 8.5 out of 10
N/A
Spyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.
Flutter by Google is well suited where you have to make an app across multiple platforms like iOS, Android, Web, Desktop and you don't have the bandwidth to create multiple teams for the Native app. This makes sure you have a faster development and you don't have to worry about how your product will look across different platforms. It is also very smooth/fast in response, making it close to feel like a Native app, this makes it an easy pick for a Fintech product where speed matters. Flutter by Google also has a huge library of Components, which are well tested and developed by Google's Flutter by Google team itself, making the development even more fast since the majority of required components are already available.
Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda package manager distribution, so depending on your setup you may have installed it on your machine.
Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.
Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities. There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.
Occasionally updates to the Flutter SDK result in wide-sweeping changes that seem to not be thoroughly tested and considered. Flutter sometimes evolves too fast for its own good.
While the 3rd-party Flutter package ecosystem is vast and rich, 1st-party support for basic things (audio/video playback, battery information, Bluetooth services, etc.) are lacking. You are occasionally forced to rely on an open-source package for use-cases that other platforms have native support for.
Documentation, particularly around testing, is lacking. While there are some great docs, like the Dart Style Guide, many Flutter-focused support documents are lacking in quality and real-world usability.
Flutter allows you to architect an app however you want. While this is a great feature, it also adds complexity and leads to the current state of Flutter's state management, where there are 50+ options on how to organize your app, with very little official guidance or recommendations from the Flutter team. For a beginner, this can create decision paralysis.
Flutter by Google is very easy to start with. The initial setup they provide is very helpful and easy to understand. The default project setup is also good and can be deployed to production without changing much. Flutter by Google provides a huge library of components, which are created and tested by their own team, making the development of application much faster and robust. Flutter by Google also has a huge community support where we can find components built by the community and we can contribute our own components as well, which helps in faster dev time. Applications developed using Flutter by Google are very smooth, almost feels like native, which helps in creating good impression on customers/clients.
It is fairly straightforward to use. Pretty much good to go as soon as you install it. The IDE itself is very user friendly, and it is only limited by whatever limitations Python has as a language. Great for those who want to run their scripts quickly or do some Python programming without fussing.
Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.
I have experience with react and React Native. I would say that the idea behind all those frameworks are quite similar. However, I found the javascript-based frameworks a bit more accessible as you could utilise your javascript knowledge. Here, Flutter works with its own language. This has advantages and disadvantages sometimes. I found the community around javascript frameworks bigger and therefore sometimes more helpful. However, Flutter does a good job here as well. I think the main argument for Flutter is its usability for less experienced developers. If you do not have knowledge in javascript or other programming languages then I think it is much easier to start with Flutter than with another framework like react. I think the package that you get form scratch is better than in the other frameworks were you have to set up and learn a lot more before you can start.
I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors
The rapid development capabilities of Flutter allow us to build apps we could not have previously considered commercially viable, opening new revenue streams.
Free and open licensing made adoption very easy (ie. free/low cost!).
In comparison to Qt, our time spent arguing with build tools and perfecting development environments has decreased substantially.
