Compare Flutter and bokeh python 
- Users report that while both Bokeh Python and Flutter have strong component libraries, Bokeh Python's library is particularly praised for its extensive range of data visualization options, making it a favorite among data scientists and analysts.
- Reviewers mention that Flutter excels in ease of setup, with a score of 9.7, which is significantly higher than Bokeh Python's ease of use rating of 8.0, indicating that Flutter is more user-friendly for developers starting new projects.
- G2 users highlight that Bokeh Python has a robust framework integration score of 9.4, which is beneficial for users looking to incorporate complex data visualizations into existing applications, while Flutter's integration capabilities are also strong but not as highly rated.
- Users on G2 report that Flutter's quality of support, rated at 8.5, is superior to Bokeh Python's 6.9, suggesting that Flutter users generally have a better experience when seeking help or troubleshooting issues.
- Reviewers say that Bokeh Python shines in its unlocked components feature, scoring 9.0, which allows for greater customization in data visualizations, a critical aspect for users needing tailored solutions.
- Users report that while both products have positive product direction ratings, Flutter's score of 9.7 indicates a stronger commitment to ongoing development and feature enhancements, which is a significant consideration for long-term users.
Flutter provides cross-platform developement. Easy to use. Large & growing community.
The first thing which disappointed me was the app which made using flutter was taking so much of space even though it was containing less codes. Also , I switched from this platform due to less features available.
I like bokeh python because it allows me to streamline my data analytics workflows so I can better showcase different types of data to a large audience. It makes data easier to understand with the various types of graphs.
Plotly offers a much greater level of interactivity than bokeh out of the box. bokeh has a problem with its documentation.
Flutter provides cross-platform developement. Easy to use. Large & growing community.
I like bokeh python because it allows me to streamline my data analytics workflows so I can better showcase different types of data to a large audience. It makes data easier to understand with the various types of graphs.
The first thing which disappointed me was the app which made using flutter was taking so much of space even though it was containing less codes. Also , I switched from this platform due to less features available.
Plotly offers a much greater level of interactivity than bokeh out of the box. bokeh has a problem with its documentation.
