What is IDL?

IDL software is a dependable programming language widely used in scientific disciplines for converting complex numerical data into meaningful visual representations. It provides a powerful computing environment suitable for both creating small analytical tools and developing extensive applications, which is vital for extracting insights from data. Analyzing intricate numerical datasets is essential for driving scientific discovery and innovation. When your work revolves around making groundbreaking discoveries, utilizing an effective tool to interpret and harness your data becomes crucial; you need a solution that reveals the valuable insights hidden within your datasets. By adopting an advanced programming language, you can transform raw figures into captivating visual presentations, which aids in data analysis, speeds up the discovery process, and helps you bring impactful applications to market. Moreover, the right software not only enhances your capacity for making informed, data-driven decisions but also plays a significant role in propelling advancements within your industry. In essence, the effective use of such software can lead to transformative changes in how research and development are approached in various scientific arenas.

Integrations

Screenshots and Video

IDL Screenshot 1

Company Facts

Company Name:
Harris Geospatial Solutions
Date Founded:
1977
Company Location:
United States
Company Website:
www.l3harrisgeospatial.com/Software-Technology/IDL

Product Details

Deployment
Windows
Training Options
Documentation Hub
Webinars
Video Library
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

IDL Categories and Features

Data Visualization Software

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery