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Plotly VS Interview Cake

Compare Plotly VS Interview Cake and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Interview Cake logo Interview Cake

Free practice programming interview questions. Interview Cake helps you prep for interviews to land offers at companies like Google and Facebook.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Interview Cake Landing page
    Landing page //
    2023-01-25

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.

Interview Cake features and specs

  • Comprehensive Coverage
    Interview Cake covers a wide range of topics and problems, making it a valuable resource for preparing for coding interviews across various domains.
  • Focus on Understanding
    Emphasizes understanding over memorization by breaking down problems into understandable concepts and providing thorough explanations.
  • Step-by-Step Solutions
    Offers step-by-step guides and solutions to problems, which can help users learn the reasoning behind different approaches.
  • Practice Problems
    Provides numerous practice problems that simulate real interview questions, helping users to test their interview skills.
  • Adaptive Strategy
    Helps users identify weaknesses and provides targeted practice based on their performance, aiding efficient study planning.

Possible disadvantages of Interview Cake

  • Price
    Interview Cake is a paid service, which might be a barrier for individuals on a tight budget seeking affordable or free resources.
  • Limited Interaction
    Lacks interactive coding environments or challenges, which might be less engaging compared to platforms that offer interactive learning.
  • Not a Comprehensive Learning Tool
    While great for interview preparation, it may not cover foundational programming concepts in-depth for complete beginners.
  • Update Frequency
    The content updates might not be as frequent as other platforms, potentially leading to outdated problem-solving techniques or questions.

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.

Plotly videos

+ Add

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

Interview Cake videos

+ Add

My Definitive Interview Cake Review

More videos:

  • Review - Interview Cake Review

Category Popularity

0-100% (relative to Plotly and Interview Cake)

Plotly

Interview Cake

Data Visualization
100 100%
Data Visualization
0% 0
Online Learning
0 0%
Online Learning
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Education & Reference
0 0%
Education & Reference
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 Interview Cake

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
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.
Source: blog.logrocket.com

Interview Cake Reviews

The Best Code Interview Prep Platforms in 2020
Frequently considered the best source for interview articles, tips, and content, Interview Cake is a crash course in getting a software development job.
Source: www.freecodecamp.org

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Interview Cake. While we know about 33 links to Plotly, we've tracked only 3 mentions of Interview Cake. 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 / 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 / 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
View more

Interview Cake mentions (3)

  • Just started Leetcode and I'm so lost...
    Here's another site that helped me when I was starting out: interviewcake.com (I think I had a free trial or something). Source: about 3 years ago
  • Getting a full time job before graduation
    Interviewcake.com has some great explanations and practice problems for leetcode style problems. I got the year subscription on sale. Source: almost 4 years ago
  • How to remove mental fatigue during interview
    I also used to do the exact same thing during a technical interview. Seems like an obvious answer, but I've always noticed the more prior practice I have, the less nervous I get. I think a good part of the mental fatigue comes from nerves. And those nerves were amplified when I encountered a problem for which I didn't immediately have a general grasp of the solution. But as soon as I got more consistent with my... Source: almost 4 years ago

What are some alternatives?

When comparing Plotly and Interview Cake, 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.

AlgoExpert.io - A better way to prep for tech interviews

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

interviewing.io - Free, anonymous technical interview practice

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

CodingInterview - CodingInterview offers essential information to help you conquer programming interviews.

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