Web frameworks📊: Your 🐍Python Picks
Tags: python, programming, frontend, webap
Published: 2024-01-22 13:28:10

TL;DR

Python’s web framework landscape is diverse and keeps on expanding. 
Let’s focus on 10 libraries and understand their strengths and weaknesses. 


![Meme](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/l2t7blc54d0t9q8h6z6v.jpg)
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## 1- [Taipy](https://github.com/Avaiga/taipy)

![Taipy](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vhquvphsbn3ax1cera0s.png)

🌟 Advantages:
- User-friendliness: Taipy is a Python library that creates production-grade applications with minimal coding
- Full-stack capabilities: Taipy has both front-end and back-end functionalities, simplifying complex interface development
- Geared towards Data science: Notebook compatible & easy integration with Machine learning platforms (Dataiku, Databricks, etc.…)
- Asynchronous mode: ideal for handling high-load applications

⚠️ Disadvantage:
- Emerging Community: still growing, with fewer resources and a smaller community compared to established libraries

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![QueenB GIF](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/0un08vhstrk6zpst5yti.gif)

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Your support means a lot🌱, and really helps us in so many ways, like writing articles! 🙏

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## 2- [Dash](https://github.com/plotly/dash)

![Dash](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/j92k4pjszexhkj0ki30z.png)

🌟Advantages: 

- Integration with Plotly: creates interactive and data-driven dashboards with a plethora of graph options and customization
- Python-centric workflow

⚠️ Disadvantage:

- Learning curve: understanding the callback and layout concepts can be challenging for beginners

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## 3- [Django](https://github.com/django/django)

![Django](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/jsi9y1esdnlrnbsxmfxp.png)

🌟 Advantages:

- Scalable and versatile: good for large-scale projects thanks to its robustness and flexibility
- Rich ecosystem: various integrations with third-party apps and plugins
- Strong Community: active and prosperous user base

⚠️ Disadvantages:

- Suitability for more minor projects: complex for more minor use cases
- Learning Curve: completeness of the library makes the time to master high

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## 4- [Fast API](https://github.com/tiangolo/fastapi)

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/spbgjlnu66jmxelrkuo2.png)

🌟 Advantages: 

- High Performance: Fast API focuses on speed and efficiency
- Asynchronous mode: suitable for high-load applications

⚠️ Disadvantages:

- Less established: fewer resources relative to more stable competitors (i.e., Flask or Django)
- Complexity: some concepts (asynchronous mode) can be challenging for beginners to apprehend

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## 5- [Streamlit](https://github.com/streamlit/streamlit)

![Streamlit](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/w8x5b0m6byf6cwj6ngy0.png)

🌟 Advantages:

- User-friendly interface: simplifies the design and creation of web applications
- Fast prototyping: suitable for quick development

⚠️ Disadvantages:

- Limited use cases: not suitable for complex, production-ready applications
- Customization limitations: offers less customization due to low-code structure

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## 6- [Flask](https://github.com/pallets/flask)

![Flask](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wp45o73be2886unf9yrj.png)

🌟 Advantages:

- Use Case flexibility: suitable for designing small to medium applications
- Rich extensions: a wide variety of plug-ins
- Beginner-friendly: easy learning curve for moderate coders

⚠️ Disadvantage:

- Scalability limits: not the most scalable option for large and complex applications

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## 7- [Bottle](https://github.com/bottlepy/bottle)


![Bottle ](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vuqy8gwad1zsfb3yd2s7.png)
🌟 Advantages:

- Minimalist Approach: Bottle is a lightweight framework, suitable for beginners
- Fast development: simple and quick to create prototypes
- Lightweight: suitable for straightforward web application use cases

⚠️ Disadvantages:

- Limited features: not suitable for complex applications
- Smaller community: the community is smaller, with fewer resources

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## 8- [Pyramid](https://github.com/Pylons/pyramid)

![Pyramid](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bfsp66b6wtfbwi1fbzqr.png)

🌟 Advantages:

- High Customization: customization through templates and database integration
- Rich Extension Ecosystem

⚠️ Disadvantages:

- Steep learning curve
- Smaller user base: a smaller library means a smaller community and fewer resources


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## 9- [Falcon](https://github.com/falconry/falcon)
![Falcon](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ex4qebkqrcvpu971t2k5.png)
🌟 Advantages:

- Performance-oriented
- Control and customization: minimalist design makes flexible user control

⚠️ Disadvantages:

- Not beginner friendly: can be challenging for new Pythonistas.
- Less suitable for full-fledged applications

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## 10- [CherryPy](https://github.com/cherrypy/cherrypy)

![CherryPy](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/t954ddztk3kp9o5exrip.png)
🌟 Advantages:

- Simplicity: good option for smaller objects through simple API
- Extensive plug-ins: various extensions and plug-ins

⚠️ Disadvantages:

- Lower popularity: less popular
- Smaller community support

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## Conclusion: 
Choosing a framework to build your web applications depends on various requirements like the complexity of the projects or the developers' coding level.
By understanding the strengths and weaknesses of these 10 libraries, developers can facilitate their decision-making on which framework to go for.

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Feel free to reach out if you have any questions or feedback!