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@RISK vs List.js

Professional comparison and analysis to help you choose the right software solution for your needs.

@RISK icon
@RISK
List.js icon
List.js

@RISK vs List.js: The Verdict

⚡ Summary:

@RISK: @RISK is a risk analysis add-in for Microsoft Excel that uses Monte Carlo simulation to show possible outcomes in forecasts and predictions. It allows users to define uncertainty in their spreadsheet models to gain better insights into risks.

List.js: List.js is a lightweight JavaScript library for adding search, sort, filters and flexibility to tables, lists and various HTML elements. It requires little CSS and HTML markup and can work with existing HTML to enhance usability.

Both tools serve their respective audiences. Compare the features, pricing, and user ratings above to determine which best fits your needs.

Last updated: May 2026 · Comparison by Sugggest Editorial Team

Feature @RISK List.js
Sugggest Score — —
Category Office & Productivity Development
Pricing — Open Source

Product Overview

@RISK
@RISK

Description: @RISK is a risk analysis add-in for Microsoft Excel that uses Monte Carlo simulation to show possible outcomes in forecasts and predictions. It allows users to define uncertainty in their spreadsheet models to gain better insights into risks.

Type: software

List.js
List.js

Description: List.js is a lightweight JavaScript library for adding search, sort, filters and flexibility to tables, lists and various HTML elements. It requires little CSS and HTML markup and can work with existing HTML to enhance usability.

Type: software

Pricing: Open Source

Key Features Comparison

@RISK
@RISK Features
  • Monte Carlo simulation
  • Risk analysis
  • Uncertainty modeling
  • Sensitivity analysis
  • Optimization
  • Forecasting
  • Predictive modeling
List.js
List.js Features
  • Client-side searching, sorting and filtering
  • Minimal CSS and HTML markup required
  • Works with existing HTML
  • Lightweight size

Pros & Cons Analysis

@RISK
@RISK

Pros

  • Powerful risk analysis capabilities
  • Integrates directly with Excel
  • Large number of probability distributions
  • Automates sensitivity analysis
  • Generates insightful visualizations
  • Helps make better decisions under uncertainty

Cons

  • Steep learning curve
  • Can be computationally intensive for large models
  • Limited to uncertainty in spreadsheet models
  • Requires purchase of add-in for full capabilities
List.js
List.js

Pros

  • Easy to implement
  • Good performance
  • Many options for customization
  • Open source and free

Cons

  • Less features than heavier table/data grid libraries
  • Requires JavaScript
  • Documentation could be better

Pricing Comparison

@RISK
@RISK
  • Not listed
List.js
List.js
  • Open Source

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Learn More About Each Product

@RISK
@RISK
Reviews, pricing & alternatives →
List.js
List.js
Reviews, pricing & alternatives →

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