Overview

Python

Stacks250.8K

Followers205.3K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

Mongoose

Stacks2.1K

Followers1.4K

Votes56

Mongoose vs Python: What are the differences?

Introduction

Mongoose and Python are two different programming languages commonly used for different purposes. Here are the key differences between Mongoose and Python:

Syntax: Mongoose is a JavaScript-based framework used for modeling and interacting with MongoDB databases. It has a syntax similar to JavaScript, which allows developers to work seamlessly with MongoDB. On the other hand, Python is a general-purpose programming language known for its simplicity and readability. It has a syntax that is easy to understand and learn, making it a popular choice for beginners.
Data Typing: Mongoose provides a schema-based approach where developers can define the structure and types of data to be stored in the database. It enforces strict data typing and validation, ensuring data integrity. Python, on the other hand, is dynamically typed, allowing variables to hold values of any type. It offers flexibility but may require additional efforts to ensure data consistency.
Database Support: Mongoose is designed specifically for MongoDB, a popular NoSQL database. It provides built-in features and methods to interact with MongoDB, making it easy to store and retrieve data. Python, on the other hand, supports multiple databases through various database drivers and libraries. It can be used with both SQL and NoSQL databases, providing more options for developers.
Community and Ecosystem: Mongoose is widely used in the Node.js ecosystem, which has a large and active community. It offers a rich ecosystem of plugins, libraries, and frameworks that extend its capabilities. Python, on the other hand, has a massive and diverse community with a vast number of libraries and frameworks for various purposes. It has extensive support and resources, making it easy to find solutions and get help.
Concurrency: Mongoose follows a single-threaded event-driven model and uses callbacks or Promises for asynchronous operations. It is well-suited for applications with high concurrency, as it can handle a large number of concurrent requests efficiently. Python, on the other hand, has multiple concurrency models, including multithreading and multiprocessing. It provides more options for handling concurrency but may require additional considerations and precautions.
Application Domain: Mongoose is primarily used for building web applications, especially in the context of Node.js and JavaScript development. It provides a streamlined development process for working with MongoDB and is well-suited for real-time applications and APIs. Python, on the other hand, is a versatile language used in various domains, including web development, data analysis, machine learning, and scientific computing. It offers a wide range of libraries and frameworks for different purposes.

In summary, Mongoose and Python differ in syntax, data typing, database support, community and ecosystem, concurrency models, and application domains. These differences make them suitable for different use cases and require developers to consider their specific needs and preferences when choosing between them.

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Advice on Python, Mongoose

Thomas

Talent Co-Ordinator at Tessian

Mar 11, 2020

Decided

In December we successfully flipped around half a billion monthly API requests from our Ruby on Rails application to some new Python 3 applications. Our Head of Engineering has written a great article as to why we decided to transition from Ruby on Rails to Python 3! Read more about it in the link below.

263k views263k

Comments

Avy

Apr 8, 2020

Needs adviceon

React Native

Python

Flutter

I've been juggling with an app idea and am clueless about how to build it.

A little about the app:

Social network type app ,
Users can create different directories, in those directories post images and/or text that'll be shared on a public dashboard .

Directory creation is the main point of this app. Besides there'll be rooms(groups),chatting system, search operations similar to instagram,push notifications

I have two options:

@{React Native}|tool:2699|, @{Python}|tool:993|, AWS stack or
@{Flutter}|tool:7180|, @{Go}|tool:1005| ( I don't know what stack or tools to use)

722k views722k

Comments

Davit

Apr 11, 2020

Needs advice

Hi everyone, I have just started to study web development, so I'm very new in this field. I would like to ask you which tools are most updated and good to use for getting a job in medium-big company. Front-end is basically not changing by time so much (as I understood by researching some info), so my question is about back-end tools. Which backend tools are most updated and requested by medium-big companies (I am searching for immediate job possibly)?

Thank you in advance Davit

390k views390k

Comments

Detailed Comparison

Python	Mongoose
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.	Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Mongoose provides a straight-forward, schema-based solution to modeling your application data and includes built-in type casting, validation, query building, business logic hooks and more, out of the box.
Statistics
GitHub Stars 69.7K	GitHub Stars -
GitHub Forks 33.3K	GitHub Forks -
Stacks 250.8K	Stacks 2.1K
Followers 205.3K	Followers 1.4K
Votes 6.9K	Votes 56
Pros & Cons
Pros 1184 Great libraries 965 Readable code 848 Beautiful code 789 Rapid development 692 Large community Cons 53 Still divided between python 2 and python 3 28 Performance impact 26 Poor syntax for anonymous functions 22 GIL 19 Package management is a mess	Pros 17 Several bad ideas mixed together 17 Well documented 10 JSON 8 Actually terrible documentation 2 Recommended and used by Valve. See steamworks docs Cons 3 Model middleware/hooks are not user friendly
Integrations
Django	Node.js MongoDB

What are some alternatives to Python, Mongoose?

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

Swift

Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.