Software Alternatives, Accelerators & Startups

Bottle VS Plotly

Compare Bottle VS Plotly and see what are their differences

Bottle logo Bottle

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

Plotly logo Plotly

Low-Code Data Apps
  • Bottle Landing page
    Landing page //
    2022-12-13
  • Plotly Landing page
    Landing page //
    2023-07-31

Bottle videos

❤ Best Baby Bottle Review, Comotomo, Tommy Tippee, Avent, Dr. Brown Bottles ❤

More videos:

  • Review - 10 BABY BOTTLE REVIEWS
  • Review - Baby Bottle Review- 8 bottles!

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Bottle and Plotly)
Web Frameworks
100 100%
0% 0
Data Visualization
0 0%
100% 100
Developer Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

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

Bottle Reviews

25 Python Frameworks to Master
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...

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

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.

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
View more

Plotly mentions (29)

  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
  • Junior Developer asked to make Saaas in first month.
    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
  • 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
  • Wait, but I thought they were the same thing?
    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
  • Storing your data in a Plotly Dash data dashboard
    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
View more

What are some alternatives?

When comparing Bottle and Plotly, you can also consider the following products

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