Flask Reviews & Product Details

I appreciate Flask's simplicity and flexibility, making it easy to build web applications with minimal boilerplate code. The modular design and extensive documentation also contribute to a smooth development experience. Review collected by and hosted on G2.com.

While Flask's simplicity is an asset, sometimes for larger applications, its minimalistic approach might require additional third-party extensions, leading to a less opinionated structure compared to some other frameworks. Additionally, the lack of built-in features for certain functionalities might require more manual configuration. Review collected by and hosted on G2.com.

I like how easy Flask is to learn and use out of the box, and how well it integrates with other Python libraries like SQLAlchemy, WTForms, etc. Review collected by and hosted on G2.com.

Flask doesn't come up with built-in features which gives it flexibility but increases dependency on third party libraries. Review collected by and hosted on G2.com.

It's simplicity. Simple API construction Review collected by and hosted on G2.com.

Probably not so fast. Like Fast API is now taking up Review collected by and hosted on G2.com.

Extremely easy to set up and deploy - easily the greatest advantage of python. Being lighter weight than Django is useful too - tack on the pieces that you need as you go. As a web-framework, it has all the essentials that you need. And the community around python means anyting you want to build into it probably already exists in a library on PyPi. Review collected by and hosted on G2.com.

Linting is difficult, and the dynamic analysis required when adding extensions such as a database is difficult to setup in most environments. The documentation is mediocre. Review collected by and hosted on G2.com.

It can be deployed using less code compared to Django. Not that complex. Easy to run and test. Vey helpful in creating small application. Review collected by and hosted on G2.com.

Cannot used for large applications. Also, it takes only one request at a time. Maintenance cost is high for complex systems. Review collected by and hosted on G2.com.

Flask is lightweight framework. Best suitable for small projects. Flexible for developers to add their own modules or architecture. It is easily scalable for applications. Review collected by and hosted on G2.com.

Flask is not suitable for big applications and projects. It does not have admin site like Django. Lack of database and ORM. Maintaining big applications is complex. Review collected by and hosted on G2.com.

Simplicity and liberty of its utilization, it does not require a broad base block in comparison with other solutions, so you can start a basic web application. It is advantageous to be able to add libraries as needed Review collected by and hosted on G2.com.

Currently, I am using version 2.2.2, and compared to the previous versions (version 1) . It has improved substantially, specifically in JSON handling, currently I am very pleased with this version and how the software is evolving. Review collected by and hosted on G2.com.

The best part of flask it's has a route function where we can define the method of inserting data in our API, as well as it's run easily on all systems or laptops.

Best and easy for machine learning project deployment Review collected by and hosted on G2.com.

The dislike part is it does not provide any framework or ready-made template for the data science project like Fast API.

It's slow compared to fast API. It has more dependency on other libraries. Review collected by and hosted on G2.com.

First, it's simple. Second, it's a python library. You can APIfy anything with Flask. Recommended if you want a python backend. I have made several backends in python and I use Flask all the time. Review collected by and hosted on G2.com.

There was one issue with hot reloading I was facing while working on a machine learning project. The hot reload feature was not working quite well and sometimes it would reload the backend randomly which was kind of a pain while I was debugging and issue because it takes 2-3 to reload my ML backend. I've not faced this issue with any other Flask project. time time time time asd asd asdas dasda sdasd asd asdasd asdad adasd asd Review collected by and hosted on G2.com.

I love the part that you can in Python - a backend language, use a localhost port and host a website using Flask. This is very helpful for me, especially when making small applications when using Python. Review collected by and hosted on G2.com.

I don't like:

1) You cannot use flask for large applications.

2) You could compare Django and flask, and Django would be comparatively Review collected by and hosted on G2.com.