Hairball is a plugin-able framework useful for static analysis of Scratch projects.
Project description
# Hairball
Hairball is a plugin-able framework useful for static analysis of Scratch projects.
The paper and presentation slides for Hairball can be found at: http://cs.ucsb.edu/~bboe/p/cv#sigcse13
A Hairball demo web service is running and available at: http://hairball.herokuapp.com
## Hairball installation
With a proper python environment (one which has `pip` available), installation is as simple as `pip install hairball`. `easy_install` can also be used via `easy_install hairball`.
To install from source, first checkout this project and then navigate your
command-line interface to the outer hairball directory that contains `setup.py`. Then run `python setup.py install`.
## Running Hairball
Once installed, to see how to use hairball run `hairball --help`. That will produce output similar to the following:
```
Usage: hairball -p PLUGIN_NAME [options] PATH...
PATH can be either the path to a scratch file, or a directory containing
scratch files. Multiple PATH arguments can be provided.
Options:
--version show program's version number and exit
-h, --help show this help message and exit
-d DIR, --plugin-dir=DIR
Specify the path to a directory containing plugins.
Plugins in this directory take precedence over
similarly named plugins included with Hairball.
-p PLUGIN, --plugin=PLUGIN
Use the named plugin to perform analysis. This option
can be provided multiple times.
```
## Available Plugins
Below are a list of available plugins that can be used as the `-p PLUGIN_NAME` option:
* blocks.BlockCounts
* blocks.DeadCode
* checks.Animation (not fully tested)
* checks.BroadcastReceive
* checks.SaySoundSync (not fully tested)
* initialization.AttributeInitialization
* initialization.VariableInitialization (not fully tested)
Note: The output for each plugin is not yet completely standardized. Please
feel free to file any issues or make improvements and send pull requests.
Hairball is a plugin-able framework useful for static analysis of Scratch projects.
The paper and presentation slides for Hairball can be found at: http://cs.ucsb.edu/~bboe/p/cv#sigcse13
A Hairball demo web service is running and available at: http://hairball.herokuapp.com
## Hairball installation
With a proper python environment (one which has `pip` available), installation is as simple as `pip install hairball`. `easy_install` can also be used via `easy_install hairball`.
To install from source, first checkout this project and then navigate your
command-line interface to the outer hairball directory that contains `setup.py`. Then run `python setup.py install`.
## Running Hairball
Once installed, to see how to use hairball run `hairball --help`. That will produce output similar to the following:
```
Usage: hairball -p PLUGIN_NAME [options] PATH...
PATH can be either the path to a scratch file, or a directory containing
scratch files. Multiple PATH arguments can be provided.
Options:
--version show program's version number and exit
-h, --help show this help message and exit
-d DIR, --plugin-dir=DIR
Specify the path to a directory containing plugins.
Plugins in this directory take precedence over
similarly named plugins included with Hairball.
-p PLUGIN, --plugin=PLUGIN
Use the named plugin to perform analysis. This option
can be provided multiple times.
```
## Available Plugins
Below are a list of available plugins that can be used as the `-p PLUGIN_NAME` option:
* blocks.BlockCounts
* blocks.DeadCode
* checks.Animation (not fully tested)
* checks.BroadcastReceive
* checks.SaySoundSync (not fully tested)
* initialization.AttributeInitialization
* initialization.VariableInitialization (not fully tested)
Note: The output for each plugin is not yet completely standardized. Please
feel free to file any issues or make improvements and send pull requests.
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