Ubuntu
storm package

storm 0.26-1 source package in Ubuntu

storm (0.26-1) unstable; urgency=medium

  * New upstream release.

 -- Colin Watson <email address hidden>  Wed, 06 Dec 2023 23:17:26 +0000

Series	Pocket	Published	Component	Section

File	Size	SHA-256 Checksum
storm_0.26-1.dsc	2.5 KiB	1ac7ea808299c06590daeb29f747f0eb11c8fb87e9366dbd08ad8ceaab497eb6
storm_0.26.orig.tar.gz	282.3 KiB	9fe4f638fdd58494823bd156eb63fc32ffc41dd292e314fed3efe74a55c87f3e
storm_0.26.orig.tar.gz.asc	833 bytes	c111870ad12563a030889eafc96ee675059b3252b06b357416f7a455c5567077
storm_0.26-1.debian.tar.xz	11.5 KiB	161158ca6779087d99c8c32c82d4aee8e167db0fce891e33cf8b0195a276d057

No changes file available.

python3-storm: object-relational mapper (ORM) for Python 3: Storm is an object-relational mapper (ORM) for the Python language. In
simple terms, that kind of system allows rows from a relational
database to be seen as objects in an object-oriented language like
Python.
.
Features:
  * Clean and lightweight API offers a short learning curve and
    long-term maintainability.
  * Storm is developed in a test-driven manner. An untested line of
    code is considered a bug.
  * Storm needs no special class constructors, nor imperative base
    classes.
  * Storm is well designed (different classes have very clear
    boundaries, with small and clean public APIs).
  * Designed from day one to work both with thin relational databases,
    such as SQLite, and big iron systems like PostgreSQL and MySQL.
  * Storm is easy to debug, since its code is written with a KISS
    principle, and thus is easy to understand.
  * Designed from day one to work both at the low end, with trivial
    small databases, and the high end, with applications accessing
    billion row tables and committing to multiple database backends.
  * It's very easy to write and support backends for Storm (current
    backends have around 100 lines of code).