Software Alternatives, Accelerators & Startups
Register | Login

GraphPad Prism VS Plotly

Compare GraphPad Prism VS Plotly and see what are their differences

Service Fusion
Service Fusion is an all-in-one field service management software that offers a wide range of useful features such as time tracking, reporting, inventory management, invoicing and payments, etc. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

GraphPad Prism logo GraphPad Prism

Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

Plotly logo Plotly

Low-Code Data Apps
  • GraphPad Prism Landing page
    Landing page //
    2023-03-24
  • Plotly Landing page
    Landing page //
    2023-07-31

GraphPad Prism features and specs

  • User-Friendly Interface
    GraphPad Prism features an intuitive and easy-to-navigate user interface, which makes it accessible even to those who may not have extensive experience with statistical software.
  • Comprehensive Analysis Tools
    The software provides a wide range of statistical analysis tools, including regression analysis, curve fitting, and survival analysis, making it suitable for various types of research.
  • High-Quality Graphing
    GraphPad Prism allows users to create publication-ready graphs with ease, offering extensive customization options to suit different research needs.
  • Integrated Statistics and Graphing
    The software integrates both statistical analysis and graphing capabilities in one platform, simplifying the workflow for researchers.
  • Excellent Documentation and Support
    GraphPad Prism provides detailed documentation, tutorials, and customer support, including a vibrant user community and comprehensive help resources.

Possible disadvantages of GraphPad Prism

  • Cost
    GraphPad Prism can be quite expensive, especially for individual users or small research teams without institutional licenses.
  • Learning Curve for Advanced Features
    While the basic features are easy to use, mastering the more advanced statistical tools and customizations can require a considerable amount of time and effort.
  • Limited Data Import/Export Formats
    The software supports fewer data import/export formats compared to some other statistical software, which could be limiting for users needing to integrate with a broad range of data sources.
  • Resource Intensive
    GraphPad Prism can be resource-intensive, requiring sufficient computer memory and processing power to run efficiently, particularly with larger datasets.
  • Lack of Certain Advanced Statistical Techniques
    While comprehensive, GraphPad Prism may lack some of the more advanced statistical techniques found in more specialized statistical software packages, which could limit its utility for certain niche applications.

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.

GraphPad Prism videos

+ Add

GraphPad Prism Tutorial 1 - Introducing Table Types

More videos:

  • Tutorial - ELISA Tutorial 6: How to Analyze ELISA Data with GraphPad Prism

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 GraphPad Prism and Plotly)

GraphPad Prism

Plotly

Technical Computing
100 100%
Technical Computing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Data Dashboard
17 17%
Data Dashboard
83% 83

User comments

Share your experience with using GraphPad Prism and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare GraphPad Prism and Plotly

GraphPad Prism Reviews

25 Best Statistical Analysis Software
GraphPad Prism is a powerful statistical software package specifically tailored for scientific research purposes. This is an excellent choice for those seeking to perform statistical analysis, nonlinear regression, graphing, and data visualization with ease.
Source: www.scijournal.org

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 33 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.

GraphPad Prism mentions (0)

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

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 / about 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 / 5 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 / 11 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

What are some alternatives?

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

IBM SPSS Statistics - IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.

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.

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

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

JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

Loading...