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@RISK vs phpIPAM

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

@RISK icon
@RISK
phpIPAM icon
phpIPAM

@RISK vs phpIPAM: 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.

phpIPAM: phpIPAM is an open-source IP address management application. It allows administrators to manage IPv4 and IPv6 addresses, subnets, VLANs, and other network objects through a web interface. Useful for mid-size networks.

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 phpIPAM
Sugggest Score
Category Office & Productivity Network & Admin
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

phpIPAM
phpIPAM

Description: phpIPAM is an open-source IP address management application. It allows administrators to manage IPv4 and IPv6 addresses, subnets, VLANs, and other network objects through a web interface. Useful for mid-size networks.

Type: software

Pricing: Open Source

Key Features Comparison

@RISK
@RISK Features
  • Monte Carlo simulation
  • Risk analysis
  • Uncertainty modeling
  • Sensitivity analysis
  • Optimization
  • Forecasting
  • Predictive modeling
phpIPAM
phpIPAM Features
  • IP address management
  • Subnet management
  • VLAN management
  • DHCP server management
  • DNS server management
  • User and group management
  • REST API

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
phpIPAM
phpIPAM

Pros

  • Open source
  • Easy to use web interface
  • Scales to mid-size networks
  • Integrates with LDAP/AD
  • REST API for automation

Cons

  • Lacks some features of commercial IPAM tools
  • Can be complex for very large networks
  • Limited native integrations

Pricing Comparison

@RISK
@RISK
  • Not listed
phpIPAM
phpIPAM
  • Open Source

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