infobyte/faraday

Open Source Vulnerability Management Platform

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Summary Information

Updated 52 minutes ago
Added to GitGenius on September 9th, 2026
Created on November 6th, 2013
Open Issues & Pull Requests: 17 (+0)
GitHub issues: Enabled
Number of forks: 1,072
Total Stargazers: 6,742 (+0)
Total Subscribers: 245 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.1 days
Mean response time: 193.8 days
90th percentile: 399.4 days
Tracked items: 74

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 4% of issues opened in the past year have been closed. Three people close 87% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 3
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 716 days
Stale 30+ days: 1
Stale 90+ days: 1

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 2
Events in 7 days: 6

Top labels

  • FEATURE (12)
  • Plugin Request (8)
  • Accepted (2)
  • enhancement (2)

Most active issues this week

Detailed Description

Faraday is an open source vulnerability management platform that centralizes, normalizes, and visualizes security findings from multiple scanning tools.

The platform addresses the challenge of tracking and organizing vulnerability data across diverse security tools and team members. It aggregates output from scanners like Nmap, Nessus, and Burp Suite, normalizing the data into a unified format. Users can then explore findings through multiple visualizations designed for both security analysts and managers. The tool operates as both a web interface and command-line client, allowing teams to work collaboratively on vulnerability remediation while maintaining a single source of truth for security findings.

Faraday suits organizations running multiple security scanners that need centralized visibility and coordination across their security program. It is particularly valuable for teams integrating security scanning into CI/CD pipelines, where automated tool output needs to be aggregated and tracked systematically. The platform supports integration with GitHub, Jenkins, GitLab, and TravisCI, making it accessible to development teams adopting DevSecOps practices. The command-line client enables automation of scans and metric extraction directly from terminal workflows, which appeals to security professionals who work primarily in command-line environments.

The project maintains active development with regular feature releases documented in release notes. The codebase is written in Python and distributed through multiple installation methods including Docker Compose, Docker, PyPI packages, and binary installers for Debian and RPM systems, indicating sustained effort to support diverse deployment environments. The tool has established documentation covering installation across supported platforms and integration patterns with CI/CD systems.