Base Subscription: Yearly auto-renewal - Buy online | Starting at $1,188.001 User Per Year | Take advantage of lower costs with flexible models and benefit from continuous functionality through automatic renewal. - Desktop edition available on Windows and Mac
- A variety of statistical procedures such as factor analysis, clustering and linear regression
- Advanced data preparation and bootstrapping capabilities
- A wide range of reporting and export options including Microsoft Excel / PDF
- Syntax and open source programming
- 3 available add-ons starting at USD 948 per user/year
|
| $1,390.001 Users Per Year | JMP for Windows or Mac.
Corporate licenses available at bulk discounts.
Key features include: - Data Acquisition and Cleanup
- Design of Experiments
- Reliability Analysis
- Data Visualization and Exploratory Data Analysis
- Statistical Modeling
- Text Exploration
- Automation and Scripting
- Consumer and Market Research
- What-if Analysis
|
| Free | A free and open source software that allows anyone, irrespective of experience levels, to make sense of data using visual workflows.
Download today at knime.com/downloads and use it free forever.
- Access data from any data source - your laptop, an application or a data warehouse
- Easily blend data of any size and any type - all file formats supported
- Aggregate, sort, filter, and join data on your device, in-database, or in distributed big data environments
- Explore data with interactive charts and visualizations
- Automate spreadsheets or other manual, repetitive data tasks
- Choose from a complete range of analytic techniques, with access to all popular ML libraries
- Bundle segments of workflows as components for reuse
- Integrate scripting in Python, R, and Javascript - and share for later reuse
- Extend KNIME capabilities by adding custom functionality through coding
- Join the open community of over 100,000+ KNIME Analytics Platform users
- Learn and share solutions on KNIME Community Hub, a community-built repository of 14,000+ data science solutions spanning use cases
- Take self-paced or guided courses led by data scientists to continuously upskill
|