Library to normalize data structure changes
multipart/form-data normalize function for eight-track
Normalizes data that can be found in package.json files.
micromark utility normalize identifiers (as found in references, definitions)
TypeScript definitions for normalize-package-data
Normalize slashes in a file path to be posix/unix-like forward slashes. Also condenses repeat slashes to a single slash and removes and trailing slashes, unless disabled.
Normalize a URL
Use two values display syntax for inner and outer display types.
Utility for normalizing a numeric range, with a wrapping function useful for polar coordinates
Color normalization for React Native.
Read a package.json file
Safe defaults for cssnano which require minimal configuration.
Turn any flavor of allowable package.json bin into a normalized object
Normalize URLs with PostCSS
Use the parts of normalize.css or sanitize.css you need from your browserslist
micromark utility to decode numeric character references
Normalize keyword values for position into length values.
String case utils
modernize node.js to current ECMAScript standards
Normalize unicode-range descriptors, and can convert to wildcard ranges.
micromark utility to decode markdown strings
Convert two value syntax for repeat-style into one value.
Normalize multiple value display syntaxes into single values.
Ethereum Name Service (ENS) Name Normalizer
Supports importing data over various transports with key-value remapping & normalization
Tool for normalizing data
has_normalized_attributes is a Ruby on Rails gem that lets you normalize user data for an improved user experience. It takes the messy user inputed data and normalizes it into a nice clean standard format.
Mapping and normalizing data fetched by thetvdb_api
Mabmapper is a powerful and extendable processing engine to normalize any kind of input data into a simple intermediate format made of fields and values. It comes with a ready to use engine to process MabXML data. Hence the name Mabmapper.
Fetch, parse and normalize meta data from websites.
CrmFormatter is perfect for curating high-volume enterprise-scale web scraping, and integrates well with Nokogiri, Mechanize, and asynchronous jobs via Delayed_job or SideKick, to name a few. Web Scraping and Harvesting often gathers a lot of junk to sift through; presenting unexpected edge cases around each corner. CrmFormatter has been developed and refined during the past few years to focus on improving that task. It's also perfect for processing API data, Web Forms, and routine DB normalizing and scrubbing processes. Not only does it reformat Address, Phone, and Web data, it can also accept lists to scrub against, then providing detailed reports about how each piece of data compares with your criteria lists.
Normalizator normalize your unnormalized data
Normalizes redundand relational data by given keys
has_normalized_fields is a Ruby on Rails gem that lets you normalize user data for an improved user experience. It takes the messy user inputed data and normalizes it into a nice clean standard format.
Normal distribution model allows to create normal distribution from given data.Initial reason to build this was to use it in anomaly detection in discrete numerical data.
converts multiple formats of csv data into hashes with a normalized format
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