cffi
Verified details These details have been verified by PyPI Maintainers alexgaynor Armin.Rigo fijal glyph mattclay nitzmahone odidev reaperhulk Unverified details These details have not been verified by PyPI Project links Homepage Changelog Contact Documentation Downloads Issue Tracker Source Code GitHub Statistics
traject
Unverified details These details have not been verified by PyPI View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery Meta License: Zope Public License (ZPL) Author: Martijn Faassen Tags route, routing, url, traverse, traversing, web Traject Introduction In web application construction there are two main ways to publish objects to the web: routing and
mosql
Verified details These details have been verified by PyPI Maintainers mosky Unverified details These details have not been verified by PyPI Project links Homepage View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery Meta License: MIT License (MIT) Author: Mosky Classifiers Development Status 5 - Production/Stable Environment Web Environment Intended
jsonschema
Verified details These details have been verified by PyPI Owner JSON Schema Unverified details These details have not been verified by PyPI Project links Changelog Documentation Funding Homepage Issues Source Tidelift GitHub Statistics View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery Meta License: MIT License (MIT) Author: Julian Berman Tags data
pyjade
PyJade is a high performance port of Jade-lang for python, that converts any .jade source to the each Template-language (Django, Jinja2, Mako or Tornado). UTILITIES To simply output the conversion to your console: pyjade [-c django|jinja|mako|tornado] input.jade [output.html] INSTALLATION First, you must do: pip install pyjade Or: python setup.py install Now simply name your templates with a `.jad
typechecker
Verified details These details have been verified by PyPI Maintainers shomah4a Unverified details These details have not been verified by PyPI Project links Homepage GitHub Statistics This module provides dynamic type check mechanism. Normal Type Check: >>> from typechecker import typeinfo, list_, tuple_, has_attrs >>> @typeinfo(int, x=int, y=int) ... def add(x, y): ... return x + y >>> add(10, 20
datadiff
DataDiff is a library to provide human-readable diffs of python data structures. It can handle sequence types (lists, tuples, etc), sets, and dictionaries. Dictionaries and sequences will be diffed recursively, when applicable. It has special-case handling for multi-line strings, showing them as a typical unified diff. Drop-in replacements for some nose assertions are available. If the assertion f
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