Python vs Robot Framework

Overview

Python

Stacks262.9K

Followers205.4K

Votes6.9K

GitHub Stars69.7K

Forks33.3K

Robot Framework

Stacks344

Followers525

Votes120

Python vs Robot Framework: What are the differences?

Introduction:

Python and Robot Framework are both popular tools in the field of software testing and automation. While Python is a general-purpose programming language, Robot Framework is a test automation framework. Although they have some similarities, there are several key differences between the two.

Syntax: Python uses a more traditional syntax with indentation, while Robot Framework follows a table-driven syntax. This means that in Python, code blocks are defined using indentation, whereas in Robot Framework, keywords and test cases are defined within tables using a tabular syntax.
Purpose: Python is a general-purpose programming language that can be used for various applications beyond test automation. On the other hand, Robot Framework is specifically designed for test automation and provides built-in libraries and keywords for this purpose. It provides a higher-level, domain-specific language for writing test cases.
Libraries and Ecosystem: Python has a vast ecosystem with a wide range of libraries and frameworks available for different purposes. It has extensive support for various domains such as web development, data analysis, machine learning, and more. Robot Framework, on the other hand, has a more focused ecosystem with libraries and tools specifically tailored for test automation.
Learning Curve: Python has a steeper learning curve compared to Robot Framework. As a general-purpose language, it requires a deeper understanding of programming concepts and syntax. Robot Framework, on the other hand, has a simpler syntax and is designed to be easily readable by non-programmers, making it more accessible to beginners.
Flexibility: Python provides more flexibility and control over the code compared to Robot Framework. With Python, you can write custom code, create complex algorithms, and utilize advanced programming techniques. Robot Framework, on the other hand, has a more declarative approach, where test cases are defined using keywords and high-level abstractions. This makes it more suitable for non-programmers and those who prefer a more intuitive and structured approach to test automation.
Integration and Extensibility: Python offers seamless integration with other programming languages, tools, and frameworks. It has extensive support for APIs and can easily interact with different systems and platforms. Robot Framework also provides integration capabilities, but it is more focused on integrating with testing tools, frameworks, and libraries specifically designed for test automation. It provides a modular architecture that allows easy extension and customization.

In Summary, Python is a general-purpose language with a wider scope of applications, while Robot Framework is a test automation framework specifically designed for writing and executing test cases. Python has a steeper learning curve but provides more flexibility and control over the code. Robot Framework has a simpler syntax, is more accessible to beginners, and offers easier integration with testing tools and frameworks.

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Advice on Python, Robot Framework

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	Robot Framework
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.	It is a generic test automation framework for acceptance testing and acceptance test-driven development. It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.
Statistics
GitHub Stars 69.7K	GitHub Stars -
GitHub Forks 33.3K	GitHub Forks -
Stacks 262.9K	Stacks 344
Followers 205.4K	Followers 525
Votes 6.9K	Votes 120
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 23 Easy with CI/CD 22 Open Source 21 Simple Usage 14 Easily extendable 13 Vast Scope more than Front End Cons 8 Nested Loops 1 Mostly for python 1 Devtooling is not there 0 Mobile supports 0 Extensive library support
Integrations
Django	No integrations available

What are some alternatives to Python, Robot Framework?

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

Python vs Robot Framework: What are the differences?

Introduction:

Syntax: Python uses a more traditional syntax with indentation, while Robot Framework follows a table-driven syntax. This means that in Python, code blocks are defined using indentation, whereas in Robot Framework, keywords and test cases are defined within tables using a tabular syntax.
Purpose: Python is a general-purpose programming language that can be used for various applications beyond test automation. On the other hand, Robot Framework is specifically designed for test automation and provides built-in libraries and keywords for this purpose. It provides a higher-level, domain-specific language for writing test cases.
Libraries and Ecosystem: Python has a vast ecosystem with a wide range of libraries and frameworks available for different purposes. It has extensive support for various domains such as web development, data analysis, machine learning, and more. Robot Framework, on the other hand, has a more focused ecosystem with libraries and tools specifically tailored for test automation.
Learning Curve: Python has a steeper learning curve compared to Robot Framework. As a general-purpose language, it requires a deeper understanding of programming concepts and syntax. Robot Framework, on the other hand, has a simpler syntax and is designed to be easily readable by non-programmers, making it more accessible to beginners.
Flexibility: Python provides more flexibility and control over the code compared to Robot Framework. With Python, you can write custom code, create complex algorithms, and utilize advanced programming techniques. Robot Framework, on the other hand, has a more declarative approach, where test cases are defined using keywords and high-level abstractions. This makes it more suitable for non-programmers and those who prefer a more intuitive and structured approach to test automation.
Integration and Extensibility: Python offers seamless integration with other programming languages, tools, and frameworks. It has extensive support for APIs and can easily interact with different systems and platforms. Robot Framework also provides integration capabilities, but it is more focused on integrating with testing tools, frameworks, and libraries specifically designed for test automation. It provides a modular architecture that allows easy extension and customization.

Python vs Robot Framework

Overview