git-sizer VS CyberForget

• Comprehensive Repository Analysis
  git-sizer analyzes many different dimensions of a Git repository including commit count, tree size, blob size, history depth, and reference counts, providing a holistic view of repository health and potential scaling issues.
• Easy to Use
  The tool is simple to run with minimal setup—just execute it within a git repository—and it produces clear, human-readable output that highlights potential problem areas without requiring complex configuration.
• Identifies Performance Bottlenecks
  It helps identify specific issues that could degrade Git performance, such as excessively large blobs, deep history, large trees, or too many references, which is valuable before migrating or scaling repositories.
• Open Source and Maintained by GitHub
  Being an official GitHub project, it benefits from credibility, community trust, and ongoing maintenance, and it is well documented with clear explanations of what each metric means.
• Useful for Pre-Migration Checks
  It's particularly helpful for teams migrating repositories to new platforms or consolidating repos, as it flags potential issues that could cause problems during migration or with hosting providers' limits.

Possible disadvantages

• No Automatic Remediation
  git-sizer only identifies and reports issues but does not offer any built-in tools or automated processes to fix problems like large blobs or excessive history depth—users must use separate tools like BFG Repo-Cleaner or git-filter-repo.
• Output Can Be Overwhelming for Beginners
  While detailed, the output includes many metrics and threshold levels that may be confusing for users unfamiliar with Git internals, requiring some learning curve to fully interpret results.
• Limited to Local Analysis
  The tool analyzes a local clone of the repository, so it requires users to have a full local copy of the repo (or at least enough history) to get accurate results, which can be time-consuming for very large repositories.
• No Real-Time Monitoring
  It functions as a one-time analysis tool rather than providing continuous or real-time monitoring of repository health, requiring manual reruns to track changes over time.
• Command-Line Only Interface
  The tool lacks a graphical user interface, which may be less accessible for users who prefer visual dashboards or are less comfortable with command-line tools.

• Automated Data Removal
  CyberForget appears to offer automated scanning and removal of personal information from data broker websites and people-search sites, saving users the time and effort of manually opting out of dozens or hundreds of sites individually.
• Privacy-Focused Service
  The service is designed specifically to address online privacy concerns by targeting sites that aggregate and sell personal data, which can help reduce exposure to identity theft, spam, and unwanted solicitation.
• Ongoing Monitoring
  Many services in this category, including CyberForget, typically offer continuous monitoring to catch and remove new instances of personal data that reappear on broker sites over time, rather than a one-time removal.
• Simplified User Experience
  By consolidating the opt-out process into a single dashboard or service, users don't need to navigate the often confusing and inconsistent removal processes required by individual data broker websites.
• Time Savings
  Manually removing personal information from dozens of data broker sites can take many hours; using an automated service like CyberForget can significantly reduce this time investment.

Possible disadvantages

• Subscription Cost
  Services like this typically require ongoing subscription fees to maintain removal and monitoring, which can add up over time compared to manually opting out for free.
• Limited Coverage
  No data removal service can guarantee removal from every data broker or people-search site, as new sites emerge constantly and some sites may not comply with removal requests.
• Effectiveness Varies
  The actual effectiveness of the removal process can vary significantly depending on the specific data brokers targeted and how quickly they process opt-out requests, which may not be transparent to users.
• Limited Independent Reviews
  As a lesser-known service compared to established competitors like DeleteMe or Incogni, there may be limited independent reviews, user testimonials, or third-party verification of CyberForget's actual performance and reliability.
• Data Reappearance
  Even with successful removal, personal information often reappears on broker sites after being re-scraped from public records or other sources, requiring continuous vigilance and repeated removal requests.

• how to keep github repos small?

  Also there’s a cool project from GitHub you can use to help understand the size of git’s objects in your git repo https://github.com/github/git-sizer. This might help you determine what the best cloning strategy could be. Source: almost 5 years ago

Tracking CyberForget since Jun 2026.