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Plotly VS SplashBI

Compare Plotly VS SplashBI and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

SplashBI logo SplashBI

Use a data reporting software that empowers your users to make data-driven decisions. Learn the full story behind your data with our BI & analytics platform
  • Plotly Landing page
    Landing page //
    2023-07-31
Not present

Instantly blend your data to reveal complex insights across dozens of data sources without undergoing the tedious and costly implementations required by other vendors. When you control your data, you can find the answers. Our self-service reporting and analysis tool helps users ask the right questions of their data to generate the insights needed to keep business moving forward.

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.

SplashBI features and specs

  • User-friendly Interface
    SplashBI provides an intuitive and easy-to-navigate interface, which enables users with varying levels of technical expertise to create, modify, and interact with reports and dashboards effectively.
  • Integration Capabilities
    SplashBI integrates seamlessly with a wide range of ERP systems, databases, cloud applications, and other data sources, allowing businesses to consolidate their data and streamline reporting processes.
  • Customizable Dashboards
    Users can build highly customizable dashboards that visualize data in real-time, supporting informed decision-making through comprehensive and interactive views.
  • Pre-built Content
    The platform offers a library of pre-built reports and analytics content, which can significantly reduce the time required to implement and get value from the BI system.
  • Mobile Access
    SplashBI's mobile compatibility allows users to access reports and dashboards on-the-go, ensuring they stay informed and can make decisions regardless of their location.

Possible disadvantages of SplashBI

  • Customization Complexity
    While the platform offers extensive customization options, users may find it complex and challenging to set up advanced configurations without prior experience or technical skills.
  • Learning Curve
    New users might face a learning curve when initially using SplashBI, especially if they are not familiar with business intelligence tools or data analytics concepts.
  • Performance Issues
    In some cases, users have reported performance issues, such as lagging or slow response times, especially when dealing with large datasets or running complex queries.
  • Cost
    Depending on the size of the organization and the specific features required, SplashBI can represent a significant investment, which may be a concern for smaller businesses or those with limited budgets.
  • Limited Advanced Features
    While adequate for standard reporting and analytics, some advanced features found in other leading BI tools might be limited or missing in SplashBI, potentially constraining power users.

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

SplashBI videos

+ Add

SP Modify and Resubmit a Report in SplashBI

More videos:

  • Review - SplashBI at OpenWorld 2017

Category Popularity

0-100% (relative to Plotly and SplashBI)

Plotly

SplashBI

Data Visualization
100 100%
Data Visualization
0% 0
Analytics
0 0%
Analytics
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Web Analytics
0 0%
Web Analytics
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 SplashBI

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

SplashBI Reviews

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

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.

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
View more

SplashBI mentions (0)

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

What are some alternatives?

When comparing Plotly and SplashBI, 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.

tgndata - Enterprise-grade Price Intelligence for retail & e-commerce

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

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

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.

Argos - Create GNOME Shell extensions in seconds. Contribute to p-e-w/argos development by creating an account on GitHub.

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