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Robot framework VS Dask

Compare Robot framework VS Dask and see what are their differences

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Robot framework logo Robot framework

Robot Framework is a generic test automation framework for acceptance testing and acceptance...

Dask logo Dask

Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love
  • Robot framework Landing page
    Landing page //
    2023-06-20
  • Dask Landing page
    Landing page //
    2022-08-26

Robot framework features and specs

  • Open Source
    Robot Framework is open-source, which means it is free to use and has a large community of users and contributors who continuously improve the tool and provide support.
  • Extensible
    Its extensible nature allows easy integration with various libraries and tools. Custom libraries can also be added to extend its functionality further.
  • Keyword-Driven Testing
    Utilizes a keyword-driven testing approach, making tests readable and simple to create even for non-programmers. This encourages collaboration between developers and non-technical stakeholders.
  • Platform Independent
    Robot Framework is platform-independent and can be run on different operating systems like Windows, macOS, and Linux.
  • Selenium Integration
    Offers seamless integration with Selenium, empowering it to be used for a wide range of web application testing tasks, from simple UI checks to complex automated workflows.
  • Rich Reporting
    Generates comprehensive logs and reports that help in the easy identification of test results and issues. The reports are user-friendly and provide detailed execution flow.
  • Data-Driven Testing
    Supports data-driven test cases, allowing tests to be executed with multiple sets of input data, enhancing test coverage.

Possible disadvantages of Robot framework

  • Learning Curve
    For those unfamiliar with keyword-driven testing or the framework itself, there can be a learning curve, particularly in understanding how to best structure test cases and use the available libraries.
  • Performance Overhead
    The high level of abstraction can introduce some performance overhead, making it less suitable for extremely performance-sensitive or low-level testing scenarios.
  • Limited Mobile Testing
    While it supports mobile testing through Appium, the support and community resources for mobile testing are not as robust as for web application testing.
  • Python Dependency
    It primarily relies on Python, which means that some organizations that use different programming languages might find it less straightforward to integrate and utilize effectively.
  • Debugging Complexity
    Debugging can be less intuitive compared to traditional code-based frameworks. Errors can sometimes be harder to trace due to the abstraction layer provided by keyword-driven scripting.

Dask features and specs

  • Parallel Computing
    Dask allows you to write parallel, distributed computing applications with task scheduling, enabling efficient use of computational resources for processing large datasets.
  • Scale
    It scales from a single machine to a large cluster, providing flexibility to develop code locally on a laptop and then deploy to cloud or other high-performance environments.
  • Integration with Existing Ecosystem
    Dask integrates well with popular Python libraries like NumPy, pandas, and Scikit-learn, allowing users to leverage existing code and skills while scaling to larger datasets.
  • Flexibility
    Dask can handle both data parallel and task parallel workloads, giving developers the freedom to implement various algorithms and solutions efficiently.
  • Dynamic Task Scheduling
    Dask's dynamic task scheduler optimizes the execution of tasks based on available resources, reducing malfunction risks and improving resource utilization.

Possible disadvantages of Dask

  • Complexity in Setup
    Setting up Dask, particularly in distributed settings, can be complex and may require significant infrastructure management efforts.
  • Performance Overhead
    While Dask provides high-level abstractions for parallel computing, there can be performance overhead due to its abstractions and scheduling mechanics which might not match the performance of highly optimized, low-level code.
  • Limited Support for Some Libraries
    Dask's smart parallelization might not perfectly support all features of libraries like pandas or NumPy, potentially requiring workarounds.
  • Learning Curve
    Despite its integration with Python's data science stack, Dask presents a learning curve for those unfamiliar with parallel computing concepts.
  • Debugging Challenges
    Debugging parallel computations can be more challenging compared to single-threaded applications, and users need to understand the distributed computation model.

Analysis of Robot framework

Overall verdict

  • Yes, Robot Framework is a good choice for automating tests and processes, especially if you are looking for an open-source solution with strong community support and flexibility.

Why this product is good

  • Robot Framework is considered good because it is an open-source automation framework that supports both keyword and behavior-driven development (BDD). It is versatile and can be used for test automation and robotic process automation (RPA). It has a simple, human-readable syntax, making it accessible for non-programmers. The framework is extensible, allowing users to create custom libraries. It also integrates well with various tools and environments, which enhances its functionality.

Recommended for

  • QA engineers and testers looking for a robust test automation framework.
  • Organizations seeking an open-source tool for robotic process automation.
  • Teams that need a scalable solution that integrates with other tools.
  • Non-programmers who require a framework with an easy-to-understand syntax.

Robot framework videos

+ Add

Robot Framework Tutorial | Robot Framework With Python | Python Robot Framework | Edureka

More videos:

  • Review - The Robot Framework – Top 7 Things You Need to Know
  • Review - Robot Class vs Robot Framework Vs Robotic Process Automation

Dask videos

+ Add

DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

  • Review - VLOGTOBER : dask kitchen review ,groceries ,drinks
  • Review - Dask Futures: Introduction

Category Popularity

0-100% (relative to Robot framework and Dask)

Robot framework

Dask

Automated Testing
100 100%
Automated Testing
0% 0
Workflows
0 0%
Workflows
100% 100
Browser Testing
100 100%
Browser Testing
0% 0
Databases
0 0%
Databases
100% 100

User comments

Share your experience with using Robot framework and Dask. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Robot framework and Dask

Robot framework Reviews

Top 5 Selenium Alternatives for Less Maintenance
Robot Framework is an open-source automation framework that uses a keyword-driven approach, making it easy to create and maintain test cases. It supports both codeless and script-based automation, making it versatile for various testing needs.
Source: www.leapwork.com
Best Automation Testing Tools (Free and Paid) | July 2022
Selenium is an open-source test automation framework that automates web browsers. It becomes a favorite automation tool of choice for automation testers. It acts as a core framework for open-source test automation software such as Watir, Robot Framework, Katalon Studio, and Protractor.
Source: www.softwaretestingmaterial.com
Top 10 Best Selenium Alternatives You Should Try
Robot Framework is an open-source test automation framework used for acceptance test-driven development (ATDD) and acceptance testing. Robot Framework is standard and uses a keyword-driven testing approach and behavior-driven.
Source: www.softwaretestinghelp.com
Best Selenium Alternatives (Free and Paid) in 2021
Robot Framework is an open-source automation framework that implements the keyword-driven approach for acceptance testing and acceptance test-driven development (ATDD). Robot Framework provides frameworks for different test automation needs. But its test capability can be further extended by implementing additional test libraries using Python and Java. Selenium WebDriver is...
Source: www.softwaretestingmaterial.com
5 Selenium Alternatives to Fill in Your Top Testing Gaps
Robot Framework is an open-source Selenium alternative primarily for acceptance test-driven development (ATDD) and acceptance testing. Using the keyword-driven methodology, testers and developers can use Robot Framework as an automation system for web and mobile test automation.
Source: www.perfecto.io

Dask Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Dask: You can use Dask for Parallel computing via task scheduling. It can also process continuous data streams. Again, this is part of the "Blaze Ecosystem."
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Robot framework should be more popular than Dask. It has been mentiond 32 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.

Robot framework mentions (32)

  • Most Effective Approaches for Debugging Applications
    Fixing a bug is incomplete without preventing its recurrence. Root cause analysis (RCA), coupled with regression testing and documentation, ensures long-term reliability. Antony Marceles, Founder of Pumex Computing, emphasizes, “Fixing a bug is only part of the solution, preventing it from happening again is the real goal.” Marceles’ team uses regression tests via Robot Framework and code reviews with Gerrit to... - Source: dev.to / about 1 month ago
  • Robot Framework Using the Browser Library: Advantages, Disadvantages, and Practical Tips
    Documentation is your best friend. It provides comprehensive guides, examples, and API references to help you navigate the library effectively. Here you can access it, as well as the Robot Framework documentation. - Source: dev.to / 6 months ago
  • Automated Acceptance Testing with Robot Framework and Testkube
    The Robot Framework is an acceptance testing tool that is easy to write and manage due to its key-driven approach. Let us learn more about the Robot Framework to enable acceptance testing. - Source: dev.to / about 1 year ago
  • Beautiful is better than ugly, but my beginner code is horrible
    Well, I work with software quality and despite not having a strong foundation in automation, one fine day I decided to make a change. I have been working with Robot Framework for a few months - and that's when I got a taste of the power of python. Some time later, I dabbled a little with Cypress and Playwright, always using javascript. - Source: dev.to / over 1 year ago
  • Embedded professionals, what kind of 'github' projects would make you hire a developer?
    I've used Lua/Busted in a data-heavy environment (telemetry from hospital ventilators). I've also used robot: https://robotframework.org/. Source: about 2 years ago
View more

Dask mentions (16)

  • Large Scale Hydrology: Geocomputational tools that you use
    We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk. Source: over 3 years ago
  • msgspec - a fast & friendly JSON/MessagePack library
    I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec. Source: over 3 years ago
  • What does it mean to scale your python powered pipeline?
    Dask: Distributed data frames, machine learning and more. - Source: dev.to / over 3 years ago
  • Data pipelines with Luigi
    To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:. - Source: dev.to / over 3 years ago
  • How to load 85.6 GB of XML data into a dataframe
    I’m quite sure dask helps and has a pandas like api though will use disk and not just RAM. Source: over 3 years ago
View more

What are some alternatives?

When comparing Robot framework and Dask, you can also consider the following products

Selenium - Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Katalon - Built on the top of Selenium and Appium, Katalon Studio is a free and powerful automated testing tool for web testing, mobile testing, and API testing.

NumPy - NumPy is the fundamental package for scientific computing with Python

Cypress.io - Slow, difficult and unreliable testing for anything that runs in a browser. Install Cypress in seconds and take the pain out of front-end testing.

PySpark - PySpark Tutorial - Apache Spark is written in Scala programming language. To support Python with Spark, Apache Spark community released a tool, PySpark. Using PySpark, you can wor

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