Software Alternatives, Accelerators & Startups

Sikuli VS Plotly

Compare Sikuli VS Plotly and see what are their differences

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Sikuli logo Sikuli

Sikuli Script

Plotly logo Plotly

Low-Code Data Apps
  • Sikuli Landing page
    Landing page //
    2018-09-29
  • Plotly Landing page
    Landing page //
    2023-07-31

Sikuli features and specs

  • Visual Automation
    Sikuli allows users to automate tasks by using screenshots of graphical user interfaces. This makes it highly intuitive and accessible, particularly for users who may not be adept at traditional coding.
  • Cross-Platform Support
    Sikuli is designed to be compatible with multiple operating systems, including Windows, macOS, and Linux, making it versatile for various development environments.
  • Simple Scripting
    The scripting interface is based on Python, which is known for its readability and simplicity. This encourages quick learning and easy implementation of automated tasks.
  • Integration with Other Tools
    Sikuli can easily integrate with other automation and testing tools, enhancing its utility in more complex workflows and making it a robust choice for comprehensive automation needs.
  • Open Source
    As an open-source tool, Sikuli is free to use, and it benefits from community contributions, which can lead to continuous improvements and a supportive user base.

Possible disadvantages of Sikuli

  • Fragility
    Automations based on screen content are inherently fragile. Any change in the user interface, even minor ones like a pixel shift or a color change, can break the automation script.
  • Performance
    Sikuli scripts can be slower compared to other automation tools because they rely on image recognition, which is generally more resource-intensive than direct API calls.
  • Complex Workflows
    For highly complex workflows, managing a large number of screenshots and ensuring their accuracy can become cumbersome and error-prone.
  • Limited Community Support
    Despite being open source, Sikuli does not have as large or active a community as some other automation tools, which can make it more difficult to find solutions to specific issues.
  • Debugging
    Debugging Sikuli scripts can be challenging due to its reliance on visual elements. Identifying why an image recognition step failed often requires a manual review of the UI state.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Analysis of Sikuli

Overall verdict

  • Sikuli is considered good for its unique capability to automate tasks using screenshots. It can be a powerful addition to the toolkit of testers and developers who need to automate visual interactions that are otherwise hard to manage with standard automation tools.

Why this product is good

  • Sikuli is a visual automation tool that uses image recognition to automate interactions with GUI elements. It is particularly useful when traditional automation scripts and tools are insufficient, such as when dealing with legacy applications, non-standard interfaces, or applications that do not expose APIs or DOM elements.

Recommended for

  • Testers working with applications that have complex or non-standard GUIs.
  • Developers automating tasks in environments with limited API access.
  • Users needing to automate repetitive tasks involving screen elements.
  • Individuals or teams working with legacy systems where modern automation frameworks fall short.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Sikuli videos

How to Use Sikuli for Test Automation (Image Comparison) || Sysco LABS Tutorials

More videos:

  • Review - Sikuli script for automating a Coda/Firefox workflow
  • Tutorial - SikuliX Tutorial #3 - Conditional Automation

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Sikuli and Plotly)
Automation
100 100%
0% 0
Data Visualization
0 0%
100% 100
Windows Tools
100 100%
0% 0
Data Dashboard
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 Sikuli and Plotly

Sikuli Reviews

Top 15 Best TinyTask Alternatives in 2022
You have a user-friendly Sikuli-Scripter that can work easily with a selenium web driver and is useful for automating flash objects. Sikuli’s basic API makes writing incredibly simple and can automate Flash games and Adobe players. For your automated Windows process, greatest engagement with the image, attractive visual match, testing tools, and many more, there are numerous...
Top 20 Best Automation Testing Tools in 2019 (Comprehensive List)
Sikuli is based on image recognition and has the capability of automating anything that we see on the screen. Currently, it supports desktop apps only which run on Windows, Mac or Unix/Linux. This tool is good at reproducing bugs quickly and its users have reported it to be very useful as compared to other tools when you are going to automate an application that is not...
Top 20 Best Automation Testing Tools in 2018 (Comprehensive List)
Sikuli is based on image recognition and has the capability of automating anything that we see on the screen. Currently, it supports desktop apps only which run on Windows, Mac or Unix/Linux. This tool is good at reproducing bugs quickly and its users have reported it to be very useful as compared to other tools when you are going to automate an application that is not...

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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.

Sikuli mentions (0)

We have not tracked any mentions of Sikuli yet. Tracking of Sikuli recommendations started around Mar 2021.

Plotly mentions (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / 3 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 5 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 7 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 1 year ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

When comparing Sikuli and Plotly, you can also consider the following products

AutoHotkey - The ultimate automation scripting language for Windows.

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Chart.js - Easy, object oriented client side graphs for designers and developers.

Pulover’s Macro Creator - Pulover’s Macro Creator is a Free Automation Tool and Script Generator.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...