Over the past twelve months, 153 developers contributed new code to Sage: Open Source Mathematics Software. This is one of the largest open-source teams in the world, and is in the top 2% of all project teams on Ohloh.
For this measurement, Ohloh considers only recent changes to the code. Over the entire history of the project, 544 developers have contributed.
Over the last twelve months, Sage: Open Source Mathematics Software 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.
Sage: Open Source Mathematics Software is written mostly in Python.
Across all Python projects on Ohloh, 25% of all source code lines are comments. For Sage: Open Source Mathematics Software, this figure is 66%.
This very impressive number of comments puts Sage: Open Source Mathematics Software among the top 10% of all Python projects on 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.
The first lines of source code were added to Sage: Open Source Mathematics Software in 2009. 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 Sage: Open Source Mathematics Software 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.