Software Alternatives, Accelerators & Startups

TestGorilla VS Plotly

Compare TestGorilla VS Plotly and see what are their differences

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TestGorilla logo TestGorilla

TestGorilla ATS is an applicant recruiting software that helps companies hire candidates easily without any hassle.

Plotly logo Plotly

Low-Code Data Apps
  • TestGorilla Landing page
    Landing page //
    2023-10-19
  • Plotly Landing page
    Landing page //
    2023-07-31

TestGorilla features and specs

  • Diverse Test Library
    TestGorilla offers a broad range of tests, from cognitive abilities to programming skills, enabling comprehensive candidate assessment.
  • Customization Options
    The platform allows for the creation of custom tests tailored to the specific needs of an organization, enhancing relevance and accuracy.
  • Ease of Use
    TestGorilla is user-friendly with an intuitive interface, making it easy for HR professionals and recruiters to set up and manage assessments.
  • Bias Reduction
    By standardizing the assessment process and focusing on skills, TestGorilla helps reduce unconscious biases in hiring decisions.
  • Integration Capabilities
    The platform can be integrated with various Applicant Tracking Systems (ATS) and other HR tools, streamlining the recruitment workflow.
  • Immediate Results
    TestGorilla provides quick feedback with detailed analytics, enabling faster decision-making in the hiring process.

Possible disadvantages of TestGorilla

  • Cost
    While offering valuable features, TestGorilla's pricing may be a barrier for smaller companies or startups with limited budgets.
  • Learning Curve
    New users might encounter a learning curve in understanding how to best utilize all the features and functionalities of the platform.
  • Internet Dependency
    The reliance on an internet connection can be a drawback in areas with unstable connectivity, potentially affecting test-taking experiences.
  • Limited Human Interaction
    Automated testing may reduce opportunities for personal interaction, which can be important for assessing cultural fit and soft skills.
  • Predefined Test Limitations
    Despite a wide array of available tests, some specific industry or job role needs might not be fully covered by the existing test library.
  • Data Privacy Concerns
    Handling sensitive candidate data always comes with privacy and security concerns, necessitating robust data protection measures.

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 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.

TestGorilla videos

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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 TestGorilla and Plotly)
Hiring And Recruitment
100 100%
0% 0
Data Visualization
0 0%
100% 100
Candidate Screening And Assessment
Charting Libraries
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 TestGorilla and Plotly

TestGorilla Reviews

  1. AnnaBenjamin
    Solid Skill Testing Platform โ€” Good, but Not Perfect for Every Hiring Need

    Weโ€™ve been using TestGorilla as part of our hiring process to screen applicants before bringing them into interviews, and itโ€™s proven quite useful. The idea is simple but helpful: instead of spending hours reviewing resumes, you give candidates a relevant test right away. Seeing how people perform on real job-related tasks gives us a much clearer picture early on.

    The test library is broad, covering everything from coding challenges and software proficiency to logical thinking and communication skills. Setting up and sending tests doesnโ€™t take long, and the results are laid out in a clear way that makes comparison between applicants straightforward.

    Where it falls a bit short is in the depth of some tests โ€” a few feel like theyโ€™re too surface-level to really separate top performers from average ones. Creating your own custom assessments is possible, but the interface for doing that could use refinement. Also, once you scale up hiring, costs add up โ€” especially if every team needs access.

    Overall, TestGorilla adds real value to the recruiting process by helping weed out unfit candidates early and giving objective data on skills โ€” which is why I give it 4 out of 5 stars.

    ๐Ÿ‘ Pros:    Clean dashboard makes it easier for hiring teams to review re
    ๐Ÿ‘Ž Cons:    Custom test creation could be more intuitive

Top 6 FlexiQuiz Alternatives and Competitors for Quiz Creation in 2025
Besides, large businesses often receive a high volume of job applications. TestGorilla can help streamline the hiring process by automating the initial screening of candidates through quizzes and assessments, ensuring that only qualified individuals progress to the next stages of the hiring process.

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 thatโ€™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 a lot more popular than TestGorilla. While we know about 34 links to Plotly, we've tracked only 1 mention of TestGorilla. 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.

TestGorilla mentions (1)

  • Need advice on hiring process for dev team
    What I had in mind was using either SHL-style aptitude tests, or third party assessments like testgorilla.com rather than a take-home exercise that I'd be moderating. I also remembered doing an online knowledge test of various web technologies when I used to be a web-dev - which could be useful for assessing Unity/C# knowledge. Source: almost 4 years ago

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
  • 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 / over 1 year 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 / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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 / over 1 year 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 2 years ago
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What are some alternatives?

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

HackerRank - HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

iMocha - Make intelligent talent decisions.

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

mettl - Mettl is a #SaaS based Online #Assessment Platform which helps you measure a candidate's #Aptitude, #Technical skills & conduct

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.