Memory BoostUp is a RAM optimizer for OS X. Mac OS is very competent at managing your system memory, but manually freeing and purging memory can be beneficial to performance in some instances. Running manual memory boosts can be helpful prior to launching memory intensive applications such as graphic design packages, games, and emulators.
validator.py is a tool for ensuring that data conforms to certain sets of rules, called validations. A validation is essentially a schema for a dictionary, containing a list of rules for each key/value pair in the dictionary you want to validate. This is intended to fill a similar use case to form validations in WTForms or Rails, but for general sources of data, not just Web forms.
blogstrap.py is a simple, no frills blog content management system powered by Twitter's Bootstrap and web.py. It features most things you would come to expect from a simple blogging platform. You can browse posts by category or subcategory, see recent posts, and mark favorites. You can perform basic searches. It includes an About page. A basic tag system is implemented (popular tags are counted and shown). A simple comment system is available. A robust administrative interface is included where you can create and edit posts. You can upload images and include them on a Credits page, where you can properly attribute the original author. Comments can be set to on, off, or manual approval (moderated). Security has been a top priority since the beginning. Blogstrap.py has low resource usage and runs quickly on top of Lighttpd.
Mac Barcode maker allows you to create a barcode graphic by providing barcode data, an encoding type, and an output file format. Click on the Generate Barcode button, and the barcode generator will produce a graphic containing your barcode. Select the barcode you need, or browse symbology information to decide what kind of barcode you need. Mac Barcode Maker supports industry standards like EAN, ISBN, UPC, I2 of 5, Code 39, Code 128, EAN-13, UPC-A, and more.
OpenALPR is an automated license plate recognition library that analyzes images and identifies license plates. The output is the text representation of any license plate characters found in the image. It uses OpenCV computer vision libraries to recognize and analyze the plate images, and the Tesseract OCR library and a specially trained character set to recognize characters.