Face Gen VS git-sizer

• Customizable Facial Features
  Face Gen offers highly customizable options for creating and modifying facial features, allowing for a wide range of unique and varied character designs.
• High-Quality 3D Models
  The software generates high-quality 3D models that are suitable for professional applications in gaming, animations, and other visual media.
• Integration Capabilities
  Face Gen integrates well with other 3D software and game engines, making it versatile for use in various development pipelines.
• Ease of Use
  The user interface is designed to be intuitive, making it easier for both beginners and professionals to create and modify 3D faces.
• Strong Support and Documentation
  Face Gen provides robust customer support and comprehensive documentation, which are beneficial for troubleshooting and learning.

Possible disadvantages

• Price
  Face Gen can be relatively expensive, especially for individual users or small teams as it caters to a more professional audience.
• Learning Curve
  Despite its ease of use, there is still a learning curve associated with mastering all of its features and capabilities.
• System Requirements
  The software can be demanding in terms of system resources, requiring a powerful computer to run smoothly.
• Limited Free Version
  The free version of Face Gen is limited in features, which may not be sufficient for users who need more advanced capabilities without paying for the full version.
• Occasional Bugs
  Like any complex software, Face Gen is not immune to bugs and glitches, which can impede the workflow at times.

• 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.

No analysis of Face Gen yet.

• The problems with FM graphics

  Before FM16 (I think), SI used to license face generation software. Not sure about FM16 specifically, but the FM10 and FM12 ones come from this company. Source: about 4 years ago

• Our music librarians filling in some important gaps in our bust collection!

  Something like this could work? There might be an open source implementation if you're willing to dig further. Source: about 5 years ago

• 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