PHP map tile engine was created using PHP and MySQL (with spatial data types) for use with the the Google Maps API. Spatial data is loaded in via .shp and .dbf files. The project is split into 2 sections: the tile engine and the example that uses the tile engine. The example is very simplistic and does not provide a proper interface for managing the layers. At the moment, it illustrates how to import a .shp file and how this data can be viewed in Google Maps.
Pies is a Python 2 and Python 3 compatibility layer with the philosophy that all code should be Python 3 code. Starting from this viewpoint means that when running on Python 3, Pies adds virtually no overhead. Instead of providing a bunch of custom methods (leading to Python code which looks out of place on any version), Pies aims to backport as many of the Python 3 API calls, imports, and objects to Python 2 as possible, relying on special syntax only when absolutely necessary.
Pillow scans directories searching for CommonJS packages (package.json files) and makes the packages usable in the browser (i.e. the found packages and modules can be accessed using the require() function). It supports multiple js files per package (and the dot notation in the require function). It also supports non js files (PNG, JPEG, GIF, JSON, CSS, HTML, and MD). Pillow can operate in command line mode (pillowscan mydirectory) or in server mode (pillowserve mydirectory), in which case packages are remade on the fly each time they are loaded through HTTP.
PyCryptoPlus is a cryptographic module similar to PyCrypto, with which it shares the API. But PyCryptoPlus is written 100% in Python, so its primary interest is educational and scientific; if you want real speed, you're better checking out PyCrypto. It was not completely written from scratch, but integrates other cipher codes when available in Python and under appropriate licenses. It contains, among other things: Block cipher algorithms (Serpent, Blowfish, Twofish, DES, 3DES, AES, Rijndael, and PRESENT); modes of operation (CMAC, ECB, CBC, CTR, and XTS); paddings (bit padding, zeros, PKCS7, PKCS12, ISO 10126, and ANSI X.923); and one-way functions (MD5, SHA1/SHA2, Whirlpool, RipeMD, RadioGatun, HMAC, and PBKDF2).
PyDaF stands for Python Data Flows. It is an experimental Python package that implements data-driven processing pipelines, which revolve around two major elements: data units, which encapsulate a type, a set of tags and actual data, and processors (fragments of code that get executed whenever the job's current data pool contains data units matching the processor's input specification).