Meteor vs Python

Overview

Python

Stacks262.9K

Followers205.4K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

Meteor

Stacks1.9K

Followers1.8K

Votes1.7K

GitHub Stars44.8K

Forks5.3K

Meteor vs Python: What are the differences?

Syntax and Language Usage: Meteor is a full-stack JavaScript framework that allows for both frontend and backend development using JavaScript. Python, on the other hand, is a versatile high-level programming language used in various domains such as web development, data science, and automation. The syntax and language usage between Meteor (JavaScript) and Python differ significantly, requiring developers to adapt to different programming paradigms.
Community Support and Ecosystem: Python has a robust and extensive community support system with a wide range of libraries, frameworks, and resources available for developers. Meteor, while popular in the JavaScript community, may not have as large a support base and ecosystem as Python. This difference can impact the availability of resources, tutorials, and solutions for developers working with these technologies.
Scalability and Performance: Python, being a general-purpose language, can be used for various types of applications, but it may face certain scalability and performance limitations for high-traffic or real-time applications. Meteor, being specialized for real-time web applications, can provide greater scalability and better performance in scenarios requiring rapid data updates and communication between clients and servers.
Development Speed and Ease of Use: Meteor is known for its rapid development capabilities, allowing developers to build full-stack applications quickly due to its integrated tools and conventions. Python, while versatile, may require additional setup and configuration for full-stack development, potentially impacting the development speed and ease of use compared to Meteor's more streamlined approach.
Learning Curve and Skillset Requirements: Transitioning from Python to Meteor (JavaScript) or vice versa can involve a learning curve due to differences in syntax, language constructs, and programming paradigms. Developers with expertise in Python may need time to adapt to JavaScript-based development with Meteor, and vice versa, which could impact project timelines and resource allocation.
Deployment and Hosting Options: Meteor provides its own hosting platform (Galaxy) for deploying applications, making the deployment process smoother for developers working with the Meteor framework. In contrast, Python applications can be deployed using a variety of hosting services and platforms, offering more flexibility in choosing deployment options based on specific project requirements.

In Summary, the key differences between Meteor and Python lie in their syntax and language usage, community support and ecosystem, scalability and performance, development speed and ease of use, learning curve and skillset requirements, as well as deployment and hosting options, impacting various aspects of development and project execution.

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Advice on Python, Meteor

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

Ítalo

VP Platform Engineering at Lykon

Feb 19, 2020

Decided

We decided to use python to write our ETLs and import them into metabase via a lambda. Before python we tried using Go, but overall go was way more verbose than Python when writing the ETLs. Go also had some issues managing memory when using the S3 upload manager library. This was a deal breaker for us that made us switch to Python.

In the end the solution was much cleaner and maintainable.

261k views261k

Comments

Detailed Comparison

Python	Meteor
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.	A Meteor application is a mix of JavaScript that runs inside a client web browser, JavaScript that runs on the Meteor server inside a Node.js container, and all the supporting HTML fragments, CSS rules, and static assets.
-	Pure JavaScript;Live page updates;Clean, powerful data synchronization;Latency compensation;Hot Code Pushes;Sensitive code runs in a privileged environment;Fully self-contained application bundles; Interoperability;Smart Packages
Statistics
GitHub Stars 69.7K	GitHub Stars 44.8K
GitHub Forks 33.3K	GitHub Forks 5.3K
Stacks 262.9K	Stacks 1.9K
Followers 205.4K	Followers 1.8K
Votes 6.9K	Votes 1.7K
Pros & Cons
Pros 1186 Great libraries 966 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 20 Package management is a mess	Pros 251 Real-time 200 Full stack, one language 183 Best app dev platform available today 155 Data synchronization 152 Javascript Cons 5 Does not scale well 4 Hard to debug issues on the server-side 4 Heavily CPU bound
Integrations
Django	AngularJS React MongoDB Node.js Apache Cordova

What are some alternatives to Python, Meteor?

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.

Related Comparisons

Meteor vs Python: What are the differences?

Syntax and Language Usage: Meteor is a full-stack JavaScript framework that allows for both frontend and backend development using JavaScript. Python, on the other hand, is a versatile high-level programming language used in various domains such as web development, data science, and automation. The syntax and language usage between Meteor (JavaScript) and Python differ significantly, requiring developers to adapt to different programming paradigms.
Community Support and Ecosystem: Python has a robust and extensive community support system with a wide range of libraries, frameworks, and resources available for developers. Meteor, while popular in the JavaScript community, may not have as large a support base and ecosystem as Python. This difference can impact the availability of resources, tutorials, and solutions for developers working with these technologies.
Scalability and Performance: Python, being a general-purpose language, can be used for various types of applications, but it may face certain scalability and performance limitations for high-traffic or real-time applications. Meteor, being specialized for real-time web applications, can provide greater scalability and better performance in scenarios requiring rapid data updates and communication between clients and servers.
Development Speed and Ease of Use: Meteor is known for its rapid development capabilities, allowing developers to build full-stack applications quickly due to its integrated tools and conventions. Python, while versatile, may require additional setup and configuration for full-stack development, potentially impacting the development speed and ease of use compared to Meteor's more streamlined approach.
Learning Curve and Skillset Requirements: Transitioning from Python to Meteor (JavaScript) or vice versa can involve a learning curve due to differences in syntax, language constructs, and programming paradigms. Developers with expertise in Python may need time to adapt to JavaScript-based development with Meteor, and vice versa, which could impact project timelines and resource allocation.
Deployment and Hosting Options: Meteor provides its own hosting platform (Galaxy) for deploying applications, making the deployment process smoother for developers working with the Meteor framework. In contrast, Python applications can be deployed using a variety of hosting services and platforms, offering more flexibility in choosing deployment options based on specific project requirements.

Meteor vs Python

Overview