Based on our record, Plotly should be more popular than Bottle. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We will use Bottle a lightweight web framework for python. This is the first time I use python to build a web server and it was a very positif experience. With Bottle.py, all you need is:. - Source: dev.to / 10 months ago
Flask is simple and lightweight and as you said it give you flexibility. But if you want to have something that give you more flexibility and control over everything else besides the routing and server loop I would suggest bottle. It is a microframework, it is faster than flask and it is even more lightweight compared the other two I mentioned. But bare in mind that using bottle you have to proper select other... Source: over 1 year ago
If you want an even more trimmed down Flask, you can use Bottle. Source: over 1 year ago
Ok. Switch to python web framework and be happy. For example look at the Bottle - https://bottlepy.org/docs/dev/. Source: over 1 year ago
You should also take a look at Bottle. It's like mini-Flask, except the library is a single .py file. Great for doing one-off web dashboards, embedded web UI etc. https://bottlepy.org/docs/dev/. - Source: Hacker News / almost 2 years ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Django - The Web framework for perfectionists with deadlines
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application