pip install jsonmapping==0.7.4

Map flat data to structured JSON via a mapping.

Source
Among top 50% packages on PyPI.
Over 2.8K downloads in the last 90 days.

Commonly used with jsonmapping

Based on how often these packages appear together in public requirements.txt files on GitHub.

tesserwrap

Basic python bindings to the Tesseract C++ API

metafolder

Store a bunch of documents alongside basic metadata

pyDBF

Search, read and write Dbase and Xbase files

apikit

A set of utility functions for RESTful Flask applications.

fingerprints

A library to generate entity fingerprints.

urlnorm

Normalize a URL to a standard unicode encoding

followthemoney

None

pantomime

MIME type normalisation and labels.

cronosparser

Parser for CronosPro / CronosPlus database files.

countrynames

A library to map country names to ISO codes.

messytables

Parse messy tabular data in various formats

Flask-Fixtures

A simple library for adding database fixtures for unit tests using nothing but JSON or YAML.

datetime-truncate

Truncate datetime objects to a set level of precision

urlnormalizer

Normalize URLs. Mostly useful for deduplicating HTTP URLs.

zipstream-new

Zipfile generator that takes input files as well as streams

flanker

Mailgun Parsing Tools

apispec-webframeworks

Web framework plugins for apispec.

pyahocorasick

pyahocorasick is a fast and memory efficient library for exact or approximate multi-pattern string search. With the ahocorasick.Automaton class, you can find multiple key strings occurrences at once in some input text. You can use it as a plain dict-like Trie or convert a Trie to an automaton for efficient Aho-Corasick search. Implemented in C and tested on Python 2.7 and 3.4+. Works on Linux, Mac and Windows. BSD-3-clause license.

click-datetime

Datetime type support for click.

Version usage of jsonmapping

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.7.4

9.13%

0.7.2

5.81%

0.7.3

5.81%

0.6.1

4.79%

0.7.1

4.72%

0.5.1

4.72%

0.4.0

4.72%

0.5.0

4.72%

0.3.4

4.69%

0.7.0

4.69%

0.3.5

4.69%

0.6.2

4.69%

0.4.1

4.65%

0.4.2

4.65%

0.3.1

4.65%

0.6.0

4.62%

0.3.2

4.62%

0.2

4.58%

0.3.3

4.55%

0.3

4.51%