pg-python provides access to Python from PostgreSQL. It contrasts with the built-in procedural language by interfacing with PostgreSQL types rather than converting them. This allows large instances of data types to be handled with greater efficiency while also allowing reasonable support for arbitrary data types without the need for a specialized implementation. Procedures are managed as entire modules so that initialization can be performed naturally by a stored procedure (each PostgreSQL function has a "main" entry point). Import statements may exist in a more natural position, and the "main" entry point may be decorated.
Backshift is a deduplicating (variable-sized, content-based blocks), compressing (xz or bz2) backup program. Full saves and incrementals are pretty indistinct other than the amount of data transmitted, somewhat like with "rsync --link-dest" but without the huge number of hardlinks. It also de-duplicates large file content at a granularity of about 2 megabytes on average; there tends to be a unique copy of each file with size less than around 2 megabytes on average.
Cubes is a Python framework for online analytical processing (OLAP), multidimensional analysis, star and snowflake schema denormalization, and cube comptutation. It features a logical model that describes how data are being analyzed and reported, independent of physical data implementation, hierarchical dimensions (attributes that have hierarchical dependencies, such as category-subcategory or country-region), localizable metadata and data localization.