Bottle VS Matplotlib

Bottle

bottle.py is a fast and simple micro-framework for python web-applications.

Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

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2022-12-13

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2023-06-14

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Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Bottle and Matplotlib)

Matplotlib

Web Frameworks

100 100%

Web Frameworks

0% 0

Technical Computing

0 0%

Technical Computing

100% 100

Developer Tools

100 100%

Developer Tools

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

User comments

Share your experience with using Bottle and Matplotlib. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare Bottle and Matplotlib

Want to create ridiculously light web applications with no other dependencies? Bottle is a lightweight Python microframework designed to easily build small- or medium-sized web applications. It doesn’t include any external dependencies aside from the Python standard library,

Source: kinsta.com

Exploring 5 Alternatives to Flask in Python for Web Development

Bottle is a lightweight and simple web framework in Python. It has a minimalist design and comes with a built-in HTTP server, making it easy to develop and deploy applications quickly. It also has support for various third-party plugins that can be easily integrated into the framework. To install Bottle, use the following command:

Source: msalinasc.com

Top 8 Python Tools For App Development

About: Bottle is a fast and simple micro-framework for small web applications. It is distributed as a single file module and has no dependencies other than the Python Standard Library. It offers request dispatching with URL parameter support, a built-in HTTP Server, adapters for many third party WSGI/HTTP-server, etc. and with no dependencies other than the Python Standard...

Source: analyticsindiamag.com

Matplotlib Reviews

25 Python Frameworks to Master

Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.

Source: kinsta.com

5 Best Python Libraries For Data Visualization in 2023

You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.

Source: www.technotification.com

15 data science tools to consider using in 2021

Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.

Source: searchbusinessanalytics.techtarget.com

Top Python Libraries For Image Processing In 2021

Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.

Source: www.analyticsvidhya.com

Top 8 Python Libraries for Data Visualization

Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Bottle. It has been mentiond 98 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.

Bottle mentions (16)

Control rc car using raspberry pi (Part 2 : The web server)
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
Django or Flask for migrate the backend of a ERP System built with Classic ASP ?
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
Any backend framework that just 'works'? I find Spring very difficult and cumbersome.
If you want an even more trimmed down Flask, you can use Bottle. Source: over 1 year ago
Python beginner asking for help
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
Python Flask has no remaining open issues or pull requests
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

Matplotlib mentions (98)

Implementing semantic image search with Amazon Titan and Supabase Vector
Matplotlib: for displaying our image result. - Source: dev.to / about 1 month ago
Releasing The Force Of Machine Learning: A Novice’s Guide 😃
Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 3 months ago
How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 6 months ago
Ask HN: What plotting tools should I invest in learning?
For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 10 months ago
PSA: You don't need fancy stuff to do good work.
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