Software Alternatives, Accelerators & Startups

Plotly VS Frontend Mentor

Compare Plotly VS Frontend Mentor and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Frontend Mentor logo Frontend Mentor

Supercharge your front-end skills by building in a real-life workflow. Solve real-world HTML, CSS and JavaScript challenges whilst working to professional quality designs.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Frontend Mentor Landing page
    Landing page //
    2022-12-02

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.

Frontend Mentor features and specs

  • Real-World Projects
    Frontend Mentor offers a variety of real-world projects with detailed briefs that emulate industry standards, helping users build practical skills.
  • Design Resources
    Projects come with design files, which include both desktop and mobile layouts, enabling users to practice building responsive websites.
  • Community Support
    The platform has an active community where users can share their work, get feedback, and collaborate, fostering a supportive learning environment.
  • Skill Levels
    Challenges are categorized by difficulty levels, allowing beginners to start easy and gradually tackle more complex projects as they progress.
  • Code Reviews
    Users can receive code reviews from peers and mentors, offering constructive feedback that helps them improve their coding practices.
  • Portfolio Building
    Completing projects on the platform can help users build a strong portfolio, showcasing their work to potential employers or clients.
  • Exposure to Best Practices
    Users learn and apply industry best practices like semantic HTML, responsive design, and modern CSS techniques.

Possible disadvantages of Frontend Mentor

  • Cost
    While some challenges are free, accessing many higher-level and premium challenges requires a subscription, which may be a barrier for some users.
  • Lack of Guidance
    For absolute beginners, the platform may be daunting as it doesn't provide in-depth tutorials or step-by-step guides for each project.
  • Competition-centric
    The competitive aspect of the platform might be discouraging for users who are still developing confidence in their skills.
  • Limited Backend Focus
    Frontend Mentor primarily focuses on frontend development, which may not be suitable for those looking to enhance backend or full-stack skills.
  • Project Repetition
    As popular projects are attempted by many users, the uniqueness of completed projects may diminish over time when showcased in portfolios.
  • Self-paced Learning
    The self-paced nature of the platform means that users need to be self-motivated and disciplined, which can be challenging without a structured learning path.

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.

Analysis of Frontend Mentor

Overall verdict

  • Frontend Mentor is highly recommended for both beginners and more experienced developers looking to build a strong portfolio with practical projects. Its realistic challenges and community support make it a valuable resource for anyone looking to improve their front-end development skills.

Why this product is good

  • Frontend Mentor is good because it provides a wide range of real-world projects that allow developers to practice and enhance their coding skills in HTML, CSS, and JavaScript. It helps bridge the gap between learning and applying skills by offering hands-on experience with design-to-code conversion. Additionally, the platform provides a supportive community and feedback, which can guide learning and improvement.

Recommended for

    Frontend Mentor is best suited for beginner to intermediate front-end developers, coding bootcamp graduates, and self-taught learners who want to enhance their practical coding skills and build a portfolio of completed projects. It’s also valuable for web developers looking to solidify their understanding of front-end technologies.

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

Frontend Mentor videos

Creando el Landing Page de un banco con SASS | Frontend Mentor challenge #2

More videos:

  • Review - Frontend Mentor Social Media Dashboard Challenge(HTML, CSS)
  • Review - Create a Coming Soon Page Using HTML & CSS | Frontend Mentor Challenge

Category Popularity

0-100% (relative to Plotly and Frontend Mentor)
Data Visualization
100 100%
0% 0
Education
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Software Development
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 Plotly and Frontend Mentor

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.

Frontend Mentor Reviews

We have no reviews of Frontend Mentor yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Frontend Mentor should be more popular than Plotly. It has been mentiond 91 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.

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 / 2 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 / 4 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 / 6 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 / 12 months 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
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Frontend Mentor mentions (91)

  • The Best 100 Free UI/UX Resources for Every Designer & Developer
    Frontend Mentor Frontendmentor.io Build real-world projects with free design files. - Source: dev.to / 3 months ago
  • I Finished The Odin Project's Foundation Track
    In the meantime, I used frontendmentor.io to feed my desire for more projects. Just make sure you don’t go overboard and miss the mark. - Source: dev.to / 3 months ago
  • Web Development
    If you know the basics of HTML, CSS and JS, mas okay matuto by creating projects from https://frontendmentor.io they’re free and users can give feedback on what to improve. Basically, you convert the screenshots/design to code or actually site. Source: almost 2 years ago
  • Revise frontend basics
    Practice building from frontendmentor.io. Source: almost 2 years ago
  • Do you think it's effective to learn different programming languages at the same time especially for the summer?
    Yeah, CSS is something that requires practice. I'll say 1st week (or maybe less) for HTML and then the remaining 2 for CSS. There are some good resources like frontendmentor.io that you can try to get some understanding of how HTML and CSS work together. I'll say don't waste too much time on learning. Kevin Powell is a good yt channel to follow. Also, you can always use things like TailwindCSSin the end but for... Source: almost 2 years ago
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What are some alternatives?

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

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.

Tribe of Mentors - Short life advice from the best in the world, by Tim Ferriss

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

Codewars - Achieve code mastery through challenge.

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

Mentorcam - Mentorcam is a marketplace where people can access well-known public figures for 1:1 advice and mentorship.