JMP Statistical Software

JMP Statistical Software

JMP Statistical Discovery
R

R

The R Foundation
+
+

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About

JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.

About

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Supported

Audience

Scientists, Engineers, Researchers, and Analysts

Audience

DevOps teams in need of a statistical computing and graphics solution

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$1320/year/user
$1320/year/user. Bulk discounts available.
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • JMP combines the intuitive programing of Excel with the power of the SAS platform. An awesome environment in which to acquaint people with stats outside of the 'basics'.

Cons

  • Few. The graphs are not necessarily as pretty as I would like, but the ability to quickly construct and modify a graph or analysis definitely make my complaint more of a gripe.

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

JMP Statistical Discovery
Founded: 1989
United States
www.jmp.com

Company Information

The R Foundation
www.r-project.org

Alternatives

Alternatives

Alchemite

Alchemite

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ndCurveMaster

SigmaLab Tomas Cepowski
ndCurveMaster

ndCurveMaster

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DataMelt

DataMelt

jWork.ORG

Categories

Dashboard Supported
Data Analysis Supported
Data Cleansing Supported
Data Discovery Supported
Data Mining Supported
Data Modeling Supported
Data Preparation Supported
Data Visualization Supported
Graphing Supported

Categories

Dashboard Features

Annotations Not Supported
Data Source Integrations Supported
Functions / Calculations Supported
Interactive Supported
KPIs Supported
OLAP Not Supported
Private Dashboards Supported
Public Dashboards Supported
Scorecards Not Supported
Themes Not Supported
Visual Analytics Supported
Widgets Supported

Data Analysis Features

Data Discovery Supported
Data Visualization Supported
High Volume Processing Supported
Predictive Analytics Supported
Regression Analysis Supported
Sentiment Analysis Supported
Statistical Modeling Supported
Text Analytics Supported

Data Cleansing Features

Address/ZIP Code Cleaning Supported
Charting Supported
Data Consolidation / ETL Supported
Data Mapping Supported
Multi Data Format Support Supported
Phone/Email Validation Not Supported
Raw Data Ingestion Supported
Sample Testing Supported
Validation / Matching / Reconciliation Not Supported

Data Discovery Features

Contextual Search Supported
Data Classification Supported
Data Matching Supported
False Positives Reduction Supported
Self Service Data Preparation Supported
Sensitive Data Identification Supported
Visual Analytics Supported

Data Mining Features

Data Extraction Supported
Data Visualization Supported
Fraud Detection Supported
Linked Data Management Supported
Machine Learning Supported
Predictive Modeling Supported
Semantic Search Supported
Statistical Analysis Supported
Text Mining Supported

Data Preparation Features

Collaboration Tools Supported
Data Access Supported
Data Blending Supported
Data Cleansing Supported
Data Governance Supported
Data Mashup Supported
Data Modeling Supported
Data Transformation Supported
Machine Learning Supported
Visual User Interface Supported

Data Visualization Features

Analytics Supported
Content Management Not Supported
Dashboard Creation Supported
Filtered Views Supported
OLAP Not Supported
Relational Display Supported
Simulation Models Supported
Visual Discovery Supported

Predictive Analytics Features

AI / Machine Learning Supported
Benchmarking Supported
Data Blending Supported
Data Mining Supported
Demand Forecasting Supported
For Education Supported
For Healthcare Supported
Modeling & Simulation Supported
Sentiment Analysis Supported

Qualitative Data Analysis Features

Annotations Supported
Collaboration Supported
Data Visualization Supported
Media Analytics Supported
Mixed Methods Research Supported
Multi-Language Supported
Qualitative Comparative Analysis Supported
Quantitative Content Analysis Supported
Sentiment Analysis Supported
Statistical Analysis Supported
Text Analytics Supported
User Research Analysis Supported

Statistical Analysis Features

Analytics Supported
Association Discovery Supported
Compliance Tracking Supported
File Management Supported
File Storage Supported
Forecasting Supported
Multivariate Analysis Supported
Regression Analysis Supported
Statistical Process Control Supported
Statistical Simulation Supported
Survival Analysis Supported
Time Series Supported
Visualization Supported

Integrations

Baichuan-13B Not Supported
Claude Fable 5.5 Not Supported
Claude Mythos 5.1 Not Supported
Claude Sonnet 3.7 Not Supported
Codecov Not Supported
Devika Not Supported
Devin Not Supported
GLM-5.3 Not Supported
Gemini 3 Flash Not Supported
Gemini 3.5 Flash-Lite Not Supported
Goose Not Supported
Mistral Code Not Supported
Mistral Small 3.1 Not Supported
Muse Spark 1.1 Not Supported
MySQL Supported
Ornith-1.0 Not Supported
Qwen2 Not Supported
Raven Not Supported
SWE-2 Not Supported
zymtrace Not Supported

Integrations

Baichuan-13B Supported
Claude Fable 5.5 Supported
Claude Mythos 5.1 Supported
Claude Sonnet 3.7 Supported
Codecov Supported
Devika Supported
Devin Supported
GLM-5.3 Supported
Gemini 3 Flash Supported
Gemini 3.5 Flash-Lite Supported
Goose Supported
Mistral Code Supported
Mistral Small 3.1 Supported
Muse Spark 1.1 Supported
MySQL Not Supported
Ornith-1.0 Supported
Qwen2 Supported
Raven Supported
SWE-2 Supported
zymtrace Supported
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