Compare Bottle and CherryPy 
- Users report that Bottle excels in ease of setup, with a score of 9.7, making it a preferred choice for those who want to get started quickly. In contrast, CherryPy's setup process is less straightforward, contributing to its lower ease of use rating of 7.8.
- Reviewers mention that Bottle has a higher quality of support, rated at 7.3, compared to CherryPy's 6.5. This suggests that users of Bottle feel more supported when they encounter issues or need assistance.
- G2 users highlight that Bottle meets requirements effectively with a score of 8.1, while CherryPy is slightly behind at 8.0. This indicates that both products are generally effective, but Bottle may have a slight edge in fulfilling user needs.
- Users on G2 appreciate Bottle's strong performance in the small-business segment, with 50% of reviews coming from this market, indicating its suitability for smaller operations. CherryPy also serves small businesses but has a slightly higher percentage at 54.5%, suggesting it may cater to this segment even more effectively.
- Reviewers say that the product direction for Bottle is viewed positively at 4.7, indicating a strong confidence in its future development. In contrast, CherryPy's product direction rating of 3.5 suggests some uncertainty among users regarding its ongoing evolution.
- Users report that while both products have their strengths, Bottle's overall star rating of 4.0 reflects a more favorable user experience compared to CherryPy's 3.0, indicating that Bottle may be the better choice for those prioritizing user satisfaction.
It's pretty simple and not much learning curve anyone who knows basic Python and has a bit of experience with writing backend can quickly write an API server in some minutes. It's bare-metal, not bulky, and filled with plugins, just simple servers. You can...
It lacks features. Its simplicity makes it far less competitive than frameworks like Flask. Bottle needs to be made extendable. I really hate the one file approach, so I guess I am biased.
With CherryPy I can easy setup a web application in a few minutes and start testing my ideas. I use it a lot for building prototypes in short times and showing results without messing with boring configurations
I didn;t find it to be scalable enough as Django Framework. I started working on cherry and eventually moved to Django as my application got bigger.
It's pretty simple and not much learning curve anyone who knows basic Python and has a bit of experience with writing backend can quickly write an API server in some minutes. It's bare-metal, not bulky, and filled with plugins, just simple servers. You can...
With CherryPy I can easy setup a web application in a few minutes and start testing my ideas. I use it a lot for building prototypes in short times and showing results without messing with boring configurations
It lacks features. Its simplicity makes it far less competitive than frameworks like Flask. Bottle needs to be made extendable. I really hate the one file approach, so I guess I am biased.
I didn;t find it to be scalable enough as Django Framework. I started working on cherry and eventually moved to Django as my application got bigger.
