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Yellowfin VS Plotly

Compare Yellowfin VS Plotly and see what are their differences

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Yellowfin logo Yellowfin

Yellowfin is a leading Business intelligence Software vendor. Find out how we are making Business Intelligence easy.

Plotly logo Plotly

Low-Code Data Apps
  • Yellowfin Landing page
    Landing page //
    2023-10-17

  www.yellowfinbi.comSoftware by Yellowfin

  • Plotly Landing page
    Landing page //
    2023-07-31

Yellowfin features and specs

  • User-Friendly Interface
    Yellowfin BI is known for its intuitive and easy-to-navigate interface. This makes it accessible for users with varying levels of technical expertise, thereby reducing the learning curve.
  • Collaborative Features
    The platform offers strong collaboration tools, such as storytelling, discussion threads, and annotations. These features facilitate greater team collaboration and improve decision-making processes.
  • Embedded Analytics
    Yellowfin allows for seamless embedding of analytic content into third-party applications, which can be particularly useful for organizations looking to enrich existing software with advanced data insights.
  • Automated Insights
    With its AI-powered Automated Insights feature, Yellowfin helps users uncover hidden trends and anomalies in data, saving time and enhancing data analysis capabilities.
  • Customization Options
    The platform offers robust customization capabilities, from custom dashboards to advanced reporting. This allows organizations to tailor the BI experience to meet specific business needs.

Possible disadvantages of Yellowfin

  • Pricing
    Yellowfin BI can be relatively expensive, particularly for smaller organizations or those with limited budgets. The cost may include licensing fees, implementation costs, and potential add-ons.
  • Performance Issues
    Some users have reported performance issues, especially when dealing with very large datasets or complex queries. This can sometimes affect the user experience and slow down decision-making.
  • Limited Data Source Integration
    While Yellowfin supports multiple data sources, it may not integrate as seamlessly with certain lesser-known or specialized data sources compared to some of its competitors.
  • Steeper Learning Curve for Advanced Features
    Although basic features are easy to use, more advanced features and customizations may require a steeper learning curve and a deeper understanding of the platform.
  • Support and Documentation
    Some users have pointed out that the quality of customer support and the available documentation could be improved, making it challenging to resolve issues quickly.

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.

Yellowfin videos

+ Add

Vibe Yellowfin 120: On Water Review

More videos:

  • Review - The Ultimate center console? You decide! - 36 Yellowfin Offshore boat review for sale by Boat Depot
  • Review - Yellowfin 7000 Southerner Boat Review | Club Marine

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

Category Popularity

0-100% (relative to Yellowfin and Plotly)

Yellowfin

Plotly

Development
100 100%
Development
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Data Dashboard
35 35%
Data Dashboard
65% 65
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Yellowfin and Plotly. 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 Yellowfin and Plotly

Yellowfin Reviews

25 Best Reporting Tools for 2022
Yellowfin is well known as a Business Intelligence and Data Reporting platform that serves as a single integrated solution developed for companies across various industries. Yellowfin makes it very easy to monitor, access, and understand data.
Source: hevodata.com
The Best Data Visualization Tools - Top 30 BI Software
Yellowfin lets you to easily visualize and explore your data with advanced data visualization and Data Discovery capabilities. Just connect to any of your favorite data sources and start uncovering patterns, identifying trends and discovery insights. No coding is required to use Yellowfin, and the tool offers more than fifty chart types.
Source: improvado.io

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

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

Yellowfin mentions (0)

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

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 / 6 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!🤓
    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 / almost 2 years 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 Yellowfin and Plotly, you can also consider the following products

Dundas - Dundas Data Visualization is a leading, global provider of Business Intelligence (BI) and Data Visualization solutions.

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.

AnswerRocket - AnswerRocket is a search-powered analytics that makes it possible to get answers from business data by asking natural language questions.

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

DevicePilot - DevicePilot is a universal cloud-based software service allowing you to easily locate, monitor and manage your connected devices at scale.

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.

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