JMP VS Plotly

Compare JMP VS Plotly and see what are their differences

Rating: 0 reviews

Alternatives Is it good?

Rating: 0 reviews

Alternatives Is it good?

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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.

Which is more popular?

Based on our record, Plotly seems to be more popular. It has been mentioned 34 times since March 2021.

social mentions: 0 vs 34
Technical Computing popularity: 100% vs 0%
alternatives listed: 187 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

	JMP	Plotly
Website	jmp.com	plotly.com
Pricing	—	Official pricing
Listed in	Statistics Technical Computing Data Analysis Numerical Computation +1	Application And Data Developer Tools App Development App Deployment Data Visualization Low Code +3

Features and specs

What each product offers, as listed by its team.

JMP 6 features

Plotly 6 features

User-friendly Interface
JMP offers a drag-and-drop interface that is intuitive and easy to navigate, making it accessible for both beginners and advanced users.
Comprehensive Data Visualization
The software provides robust tools for data visualization, enabling users to create a wide variety of charts, graphs, and plots that can help in understanding complex data sets.
Advanced Statistical Analysis
JMP includes a wide range of advanced statistical techniques, such as regression analysis, ANOVA, and multivariate methods, which are suitable for rigorous data analysis.
Integration with R and Python
The software supports integration with R and Python, allowing users to leverage additional functionalities not available in JMP alone.
Interactive Data Exploration
JMP enables interactive data exploration, allowing users to dynamically manipulate data sets and instantly see the results of their changes.
Quality Control Features
The software includes numerous quality control tools, making it ideal for industries where maintaining high standards is critical.

Possible disadvantages

Cost
JMP is a commercial software with a relatively high price point, which may be a barrier for small businesses or individual users.
Learning Curve
Despite its user-friendly interface, JMP has a steep learning curve for those unfamiliar with statistical analysis and data visualization techniques.
Resource Intensive
The software can be resource-intensive, requiring significant computational power and memory, especially when handling large datasets.
Limited Collaboration Features
JMP lacks extensive features for real-time collaboration compared to some of the more modern data science platforms.
Package Ecosystem
While JMP is powerful, its ecosystem of add-ons and packages is not as extensive as that of R or Python, which might limit its utility for some specialized tasks.
OS Compatibility
JMP is primarily designed for Windows and MacOS. Users on other operating systems might face compatibility issues or may need to use workarounds.

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

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

An editorial look at what each product does well and who it suits.

JMP

Plotly

Overall verdict

Overall, JMP is a highly regarded software package, especially among users in academic, engineering, and scientific research fields. It is considered excellent for visual data exploration and is often praised for its ability to handle complex statistical tasks with relative ease. However, some users may find it expensive, and it may not be the best option for those seeking free or open-source alternatives.

Why this product is good

JMP (jmp.com) is considered a strong choice for statistical analysis due to its comprehensive suite of tools for data visualization, exploratory data analysis, and analytic modeling. It is particularly known for its interactivity and user-friendly interface which helps make complex data more understandable. JMP supports a wide range of data analysis techniques and provides robust support for design of experiments (DOE), which is highly valued in research and development settings.

Recommended for

Researchers and analysts who require advanced statistical capabilities
Engineers and quality professionals involved in Six Sigma and other quality improvement initiatives
Academics and students looking for an educational tool offering rich functionality for data analysis
Organizations with a focus on design of experiments and predictive modeling

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.

Videos

Walkthroughs and reviews on video.

JMP 3 videos + Add

Plotly 5 videos + Add

Review Of The UAD Marshall JMP 2203 Plug-in From Universal Audio

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100

JMP

Plotly

100% 100%

Technical Computing

0% 0%

Data Visualization

100% 100%

36% 36%

Data Dashboard

64% 64%

0% 0%

Charting Libraries

100% 100%

User comments

Share your experience with using JMP and Plotly. For example, how are they different and which one is better?

Reviews and articles

External articles and on-site reviews we used to compare the two products.

JMP no reviews yet

Plotly no reviews yet

25 Best Statistical Analysis Software
www.scijournal.org · Aug 2023

JMP is a top-rated tool for data exploration and analysis, delivering dynamic data visualization and an extensive selection of statistical tools to empower users to make well-informed decisions based on their findings.
Top 10 Free Statistical Analysis Software 2023
fellowshipbard.com · Apr 2023

5. JMP Scripting Language (JSL) scripting is supported for automation, customisation, and expanding functionality.
9 Best Analysis Software for PC 2023
pdf.wps.com · Feb 2023

JMP is a software analysis software that can perform data manipulations and mining. It is a perfect alternative to MS Excel, which is famous for visualization. JMP is available on a free-trial and premium-based plan....

Best 8 Redash Alternatives in 2023 [In Depth Guide]
www.datapad.io · Apr 2023

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.
5 Best Python Libraries For Data Visualization in 2023
www.technotification.com · Mar 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...
Top 8 Python Libraries for Data Visualization
www.geeksforgeeks.org · Aug 2020

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...

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

JMP 0 mentions

Plotly 34 mentions

Tracking JMP since Mar 2021.

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... - Source: dev.to / over 1 year ago

Alternatives to JMP and Plotly

When comparing JMP and Plotly, you can also consider the following products.

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.

Compare Stata to JMP or Plotly:

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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.

Compare D3.js to JMP or Plotly:

D3.js vs JMP D3.js vs Plotly
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.

Compare IBM SPSS Statistics to JMP or Plotly:

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

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RAWGraphs vs JMP RAWGraphs vs Plotly
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.

Compare GraphPad Prism to JMP or Plotly:

GraphPad Prism vs JMP GraphPad Prism vs Plotly
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.

Compare Tableau to JMP or Plotly:

Tableau vs JMP Tableau vs Plotly