Moderate Activity

Project Summary : Factoids

  Analyzed 4 days ago based on code collected 4 days ago.
 

Increasing Y-O-Y development activity

Over the last twelve months, RabbitVCS has seen a substantial increase in activity. This may be a sign that interest in this project is rising, and that the open source community has embraced this project.

Ohloh makes this determination by comparing the total number of commits made by all developers during the most recent twelve months with the same figure for the prior twelve months. The number of developers and total lines of code are not considered.

Average size development team

Over the past twelve months, 4 developers contributed to RabbitVCS. This is an average size team compared to all projects on Ohloh.  

For this measurement, Ohloh considers only recent changes to the code. Over the entire history of the project, 11 developers have contributed.

Well-established codebase

The first lines of source code were added to RabbitVCS in 2008. If this older project has had recent activity, then this project likely is consistently delivering value, and attracts sustained effort from the community.

A longer source control history in conjunction with recent activity such as with this project, may indicate that this code base and community have enough value to hold contributors' interest for a long time. It may also indicate a mature and relatively bug-free code base, and can be a sign of an organized, dedicated development team.

Note: The source code for RabbitVCS might actually be older than the source control history can reveal. Many new projects begin by incorporating a large amount of source code from existing, older projects. You might be able to tell whether this is the case by looking for a rapid rise in the amount of code early in the project's history.

Average number of code comments

RabbitVCS is written mostly in Python.

Across all Python projects on Ohloh, 26% of all source code lines are comments.

This holds true for RabbitVCS as well. It contains the same ratio of comment lines to code lines as the majority of Python projects in Ohloh.

A high number of comments might indicate that the code is well-documented and organized, and could be a sign of a helpful and disciplined development team.

 
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