Containers-PropertyEnvironment

Property lookup manager

A dictionary-like data structure for managing property lookups between parent and child objects in an object-oriented system.

A kind of dictionary of properties with a lookup.

GitHub

2 stars
4 watching
4 forks
Language: Smalltalk
last commit: 4 months ago
Linked from 1 awesome list

collectiondictionarylookuppharoprototype-based

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
ducasse/containers-grid A data structure package providing an efficient grid data implementation 3
pydanny/cached-property A decorator that caches properties in classes to improve performance by avoiding redundant computations. 701
ducasse/containers-skiplist An implementation of a probabilistic data structure for fast search and retrieval in a sorted list. 1
ducasse/quadtree An implementation of Region Trees for efficient spatial partitioning and data storage 2
jonschlinkert/get-value A utility library that provides a simple way to access nested properties of objects using dot notation. 247
ducasse/containers-orderedmultimap A data structure collection implementation with ordered multi-map features 0
bahmutov/json-package A utility to fetch specific properties from the package.json file using a shortened prefix. 8
joel-jeremy/externalized-properties A lightweight library to resolve application properties from external sources. 27
alexruperez/securepropertystorage A framework providing secure property storage options using Swift property wrappers. 472
ducasse/cdb A Smalltalk implementation of a database that stores data in memory 0
syntax-tree/hast-util-has-property Utility to check if an element has a certain property 1
linusu/has-own-property A utility to check if an object has a specific property 3
dgilland/pydash A comprehensive set of functional utilities for Python 1,331
ddddxxx/genericid A Swift extension to provide type-safe access to UserDefaults and UITableViewCell/UICollectionViewCell properties 13
atomistic-machine-learning/schnetpack A toolbox for training and applying deep neural networks to predict atomistic properties of molecules and materials 790