Probably alternatives and similar libraries
Based on the "Data Structures / Algorithms" category.
Alternatively, view Probably alternatives based on common mentions on social networks and blogs.
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Dollar
A functional tool-belt for Swift Language similar to Lo-Dash or Underscore.js in Javascript -
Result
Swift type modelling the success/failure of arbitrary operations. -
SwiftStructures
Examples of commonly used data structures and algorithms in Swift. -
DeepDiff
🦀Amazingly incredible extraordinary lightning fast diffing in Swift -
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Algorithm
Algorithm is a library of tools that is used to create intelligent applications. -
Differ
Swift library to generate differences and patches between collections. -
KeyPathKit
KeyPathKit is a library that provides the standard functions to manipulate data along with a call-syntax that relies on typed keypaths to make the call sites as short and clean as possible. -
Buffer
Swift μ-framework for efficient array diffs and datasource adapters. -
BinaryKit
💾🔍🧮 BinaryKit helps you to break down binary data into bits and bytes, easily access specific parts and write data to binary. -
Differific
:fuelpump: Differific - a fast and convenient diffing framework. -
Brick
:droplet: A generic view model for both basic and complex scenarios -
AnyObjectConvertible
Convert your own struct/enum to AnyObject easily. -
HAMT (for Swift)
An implementation of HAMT data-structure in Swift -
RandMyMod
RandMyMod base on your own struct or class create one or a set of instance, which the variable's value in the instance is automatic randomized. -
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OneWaySynchronizer
The simplest abstraction to synchronize local data with remote source. For iOS, wirtten in swift.
Appwrite - The Open Source Firebase alternative introduces iOS support
* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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README
Probably 
Probably is a set of Swift structures for computing the probability and cumulative distributions of different probablistic functions.
Right now, it supports:
- Standard distributions with explicit event probabilities
- Continuous distributions
- Binomial distributions
- Hypergeometric distributions
- Poisson distributions
- Gaussian distributions
- Negative Binomial distributions
Installation
Probably is available through the Swift Package Manager.
Just add this git repository as a dependency:
.Package(url: "https://github.com/harlanhaskins/Probably.git", majorVersion: 0, minorVersion: 1)
And it should download the project and link it in.
Author
Harlan Haskins @harlanhaskins
License
Probably is released under the MIT license, a copy of which is included in this repo.
*Note that all licence references and agreements mentioned in the Probably README section above
are relevant to that project's source code only.