Software Alternatives, Accelerators & Startups

Bottle VS Python

Compare Bottle VS Python and see what are their differences

Bottle logo Bottle

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

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • Bottle Landing page
    Landing page //
    2022-12-13
  • Python Landing page
    Landing page //
    2021-10-17

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!

Python videos

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to Bottle and Python)
Web Frameworks
100 100%
0% 0
Programming Language
0 0%
100% 100
Developer Tools
100 100%
0% 0
OOP
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 Python

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...

Python Reviews

Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge
Autohotkey Alternatives and Similar Free Software
Python is very much compatible with PHP Java, and SQL. This feature makes the software a hit among novices and experts too. This software is used in several industries, and the most useful thing about Python is, it consists of web development and programming of network. This system is easier to learn because of its language. The novices like this because it uses more...

Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than Bottle. While we know about 282 links to Python, we've tracked only 16 mentions of Bottle. 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 / 11 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
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Python mentions (282)

  • Choosing Between AIOHTTP and Requests: A Python HTTP Libraries Comparison
    Import aiohttp Import asyncio Async def fetch(session, url): async with session.get(url) as response: return await response.text() Async def main(): async with aiohttp.ClientSession() as session: html = await fetch(session, 'https://python.org') print(html) Asyncio.run(main()). - Source: dev.to / 6 days ago
  • Marking macOS component packages available based on hardware platform type
    Flat packages are the most common used packages, but distribution packages are more robust and can contain multiple flat packages. That's enough detail for this article but if you want to know more Armin Briegel of ScriptingOSX has a great book covering a lot of the details of these package types. I highly recommend picking up a copy for reference. One of the benefits of Distribution packages is that you can... - Source: dev.to / about 1 month ago
  • Python String Formatting: A Comprehensive Guide to F-strings
    F-strings, introduced in Python 3.6 and later versions, provide a concise and readable way to embed expressions inside string literals. They are created by prefixing a string with the letter ‘f’ or ‘F’. Unlike traditional formatting methods like %-formatting or str.format(), F-strings offer a more straightforward and Pythonic syntax. - Source: dev.to / 4 months ago
  • Don’t Block entire Python Thread: Use Asynchronous Programming Instead
    Import aiohttp, asyncio Async def fetch_data(i, url): print('Starting', i, url) async with aiohttp.ClientSession() as session: async with session.get(url): print('Finished', i, url) Async def main(): urls = ["https://dev.to", "https://medium.com", "https://python.org"] async_tasks = [fetch_data(i+1, url) for i, url in enumerate(urls)] await... - Source: dev.to / 5 months ago
  • A Comprehensive Guide to Python Threading: Advanced Concepts and Best Practices
    Threading involves the execution of multiple threads (smaller units of a process) concurrently, enabling better resource utilization and improved responsiveness. Python‘s threading module facilitates the creation, synchronization, and communication between threads, offering a robust foundation for building concurrent applications. - Source: dev.to / 6 months ago
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What are some alternatives?

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

Django - The Web framework for perfectionists with deadlines

Rust - A safe, concurrent, practical language

Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible