DeepSort 1.1.0

dotnet add package DeepSort --version 1.1.0
                    
NuGet\Install-Package DeepSort -Version 1.1.0
                    
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="DeepSort" Version="1.1.0" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="DeepSort" Version="1.1.0" />
                    
Directory.Packages.props
<PackageReference Include="DeepSort" />
                    
Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package.
paket add DeepSort --version 1.1.0
                    
#r "nuget: DeepSort, 1.1.0"
                    
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
#:package DeepSort@1.1.0
                    
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package.
#addin nuget:?package=DeepSort&version=1.1.0
                    
Install as a Cake Addin
#tool nuget:?package=DeepSort&version=1.1.0
                    
Install as a Cake Tool

DeepSort

The definitive .NET sorting library — 12 algorithms, adaptive selection, parallel sorting, and full complexity metadata.

DeepSort is the new era of sorting: pick any algorithm by name, let the adaptive engine choose for you, or unleash parallel merge sort for massive datasets. Every algorithm is production-grade, thoroughly tested, and ships with detailed complexity info.

Install

dotnet add package DeepSort

Quick Start

using DeepSort;

int[] numbers = [73, 12, 45, 8, 91, 33, 67, 5, 28];
int[] sorted = DeepSorter.Sort(numbers);

Console.WriteLine(string.Join(", ", sorted));
// 5, 8, 12, 28, 33, 45, 67, 73, 91

Sort returns a new array and leaves the input unchanged.

string[] words = ["banana", "apple", "cherry", "apple"];

DeepSorter.SortInPlace(words);

Console.WriteLine(string.Join(", ", words));
// apple, apple, banana, cherry

Choose Your Algorithm

// Use any of the 12 built-in algorithms
int[] values = [42, 17, 93, 5, 67, 31];

var sorted = DeepSorter.Sort(values, SortAlgorithm.TimSort);
var quick  = DeepSorter.Sort(values, SortAlgorithm.DualPivotQuickSort);
var heap   = DeepSorter.Sort(values, SortAlgorithm.HeapSort);

Let DeepSort Decide

The adaptive engine analyzes your data and picks the best algorithm:

var sorted = DeepSorter.Sort(values, SortAlgorithm.Adaptive);

It considers array size, sortedness ratio, and data type to select the optimal strategy.

Custom Comparers

int[] descending = DeepSorter.Sort(
    values,
    SortAlgorithm.DualPivotQuickSort,
    Comparer<int>.Create((a, b) => b.CompareTo(a)));

Parallel Sorting

For large datasets, parallel merge sort distributes work across all available cores:

var largeArray = Enumerable.Range(0, 1_000_000).Select(_ => Random.Shared.Next()).ToArray();

// Uses all CPU cores for maximum throughput
var sorted = DeepSorter.ParallelSort(largeArray);

// In-place variant
DeepSorter.ParallelSortInPlace(largeArray);

Algorithm Complexity Info

Query complexity metadata at runtime:

var info = DeepSorter.GetComplexity(SortAlgorithm.TimSort);

Console.WriteLine($"Best:    {info.BestTime}");    // O(n)
Console.WriteLine($"Average: {info.AverageTime}");  // O(n log n)
Console.WriteLine($"Worst:   {info.WorstTime}");    // O(n log n)
Console.WriteLine($"Space:   {info.Space}");         // O(n)
Console.WriteLine($"Stable:  {info.IsStable}");      // True

All 12 Algorithms

Algorithm Time (Best) Time (Avg) Time (Worst) Space Stable Best For
TernaryMergeSort O(n log n) O(n log n) O(n log n) O(n) Default, shallow recursion
DualPivotQuickSort O(n log n) O(n log n) O(n²) O(log n) Large random datasets
HeapSort O(n log n) O(n log n) O(n log n) O(1) Guaranteed perf, low memory
InsertionSort O(n) O(n²) O(n²) O(1) Small / nearly-sorted data
ShellSort O(n log n) O(n^1.25) O(n^1.5) O(1) Medium datasets
RadixSort O(nk) O(nk) O(nk) O(n+k) Integer / fixed-width data
CountingSort O(n+k) O(n+k) O(n+k) O(k) Small-range integers
TimSort O(n) O(n log n) O(n log n) O(n) Real-world data with runs
IntroSort O(n log n) O(n log n) O(n log n) O(log n) Worst-case protection
BubbleSort O(n) O(n²) O(n²) O(1) Educational
SelectionSort O(n²) O(n²) O(n²) O(1) Educational, minimal swaps
CocktailShakerSort O(n) O(n²) O(n²) O(1) Nearly-sorted (bidirectional)

Full API Reference

Default Sort (Ternary Merge Sort)

  • DeepSorter.Sort<T>(IEnumerable<T> values)
  • DeepSorter.Sort<T>(IEnumerable<T> values, IComparer<T>? comparer)
  • DeepSorter.Sort<T>(ReadOnlySpan<T> values)
  • DeepSorter.Sort<T>(ReadOnlySpan<T> values, IComparer<T>? comparer)
  • DeepSorter.SortInPlace<T>(T[] values)
  • DeepSorter.SortInPlace<T>(T[] values, IComparer<T>? comparer)
  • DeepSorter.SortInPlace<T>(Span<T> values)
  • DeepSorter.SortInPlace<T>(Span<T> values, IComparer<T>? comparer)

Algorithm Selection

  • DeepSorter.Sort<T>(IEnumerable<T> values, SortAlgorithm algorithm)
  • DeepSorter.Sort<T>(IEnumerable<T> values, SortAlgorithm algorithm, IComparer<T>? comparer)
  • DeepSorter.SortInPlace<T>(T[] values, SortAlgorithm algorithm)
  • DeepSorter.SortInPlace<T>(T[] values, SortAlgorithm algorithm, IComparer<T>? comparer)
  • DeepSorter.SortInPlace<T>(Span<T> values, SortAlgorithm algorithm)
  • DeepSorter.SortInPlace<T>(Span<T> values, SortAlgorithm algorithm, IComparer<T>? comparer)

Parallel Sort

  • DeepSorter.ParallelSort<T>(IEnumerable<T> values)
  • DeepSorter.ParallelSort<T>(IEnumerable<T> values, IComparer<T>? comparer)
  • DeepSorter.ParallelSortInPlace<T>(T[] values)
  • DeepSorter.ParallelSortInPlace<T>(T[] values, IComparer<T>? comparer)

Metadata

  • DeepSorter.GetComplexity(SortAlgorithm algorithm)SortComplexity

Memory Behavior

All merge-based algorithms rent buffers from ArrayPool<T> and return them when done — no garbage left behind. In-place algorithms (heap, shell, insertion, bubble, selection, cocktail) use O(1) extra memory.

Build From Source

dotnet restore
dotnet test
dotnet pack src/DeepSort/DeepSort.csproj -c Release

The package file will be created under:

src/DeepSort/bin/Release/DeepSort.1.0.0.nupkg

Publish To NuGet

Create an API key at https://www.nuget.org/account/apikeys, then run:

dotnet nuget push src/DeepSort/bin/Release/DeepSort.1.0.0.nupkg `
  --api-key YOUR_NUGET_API_KEY `
  --source https://api.nuget.org/v3/index.json

If the DeepSort package ID is unavailable, change <PackageId> in src/DeepSort/DeepSort.csproj to a unique name such as Ayush.DeepSort, rebuild, and publish that package instead.

License

MIT

Product Compatible and additional computed target framework versions.
.NET net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 was computed.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • net10.0

    • No dependencies.
  • net6.0

    • No dependencies.
  • net8.0

    • No dependencies.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
1.1.0 86 5/14/2026
1.0.0 90 5/14/2026
0.1.0 90 5/14/2026

v1.0.0 — The New Era of Sorting
- 12 sorting algorithms: TernaryMergeSort, DualPivotQuickSort, HeapSort, InsertionSort, ShellSort, RadixSort, CountingSort, TimSort, IntroSort, BubbleSort, SelectionSort, CocktailShakerSort
- Adaptive algorithm selection that analyzes data characteristics
- Parallel merge sort for large datasets
- Algorithm complexity metadata API
- 100% backward-compatible with v0.1 API