Do you want the web apps you create to closely simulate desktop applications? Angular 2.0 can help you do just that, to provide a better experience for the user and improve the overall app performance 

<Project Sdk="Microsoft.NET.Sdk">
  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net7.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="BenchmarkDotNet" Version="0.13.4" />
  </ItemGroup>
</Project>

using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;

namespace NET7Loops;

[SimpleJob(RuntimeMoniker.Net60)]
[SimpleJob(RuntimeMoniker.Net70)]
[MemoryDiagnoser(false)]
public class Benchmarks
{
    private int[] ItemsArray;
    private List<int> ItemsList;

    [GlobalSetup]
    public void Setup()
    {
        var random = new Random(420);
        var randomItems = Enumerable.Range(0, 1000).Select(_ => random.Next());
        ItemsArray = randomItems.ToArray();
        ItemsList = randomItems.ToList();
    }

    [Benchmark]
    public void For_Array()
    {
        for (var i = 0; i < ItemsArray.Length; i++)
        {
            var item = ItemsArray[i];
        }
    }

    [Benchmark]
    public void For_List()
    {
        for (var i = 0; i < ItemsList.Count; i++)
        {
            var item = ItemsList[i];
        }
    }

    [Benchmark]
    public void ForEach_Array()
    {
        foreach (var item in ItemsArray)
        {
        }
    }

    [Benchmark]
    public void ForEach_List()
    {
        foreach (var item in ItemsList)
        {
        }
    }
}

using BenchmarkDotNet.Running;
using NET7Loops;

BenchmarkRunner.Run<Benchmarks>();

// Decompiled with JetBrains decompiler
// Type: NET7Loops.Benchmarks
// Assembly: NET7Loops, Version=1.0.0.0, Culture=neutral, PublicKeyToken=null
// MVID: E398BEE7-8123-4C55-AF9A-F7D83DDA73F1
// Assembly location: C:\Prog\1401\Net7Tests\NET7Loops\bin\Debug\net7.0\NET7Loops.dll
// Compiler-generated code is shown

using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Jobs;
using System;
using System.Collections.Generic;
using System.Linq;
using System.Runtime.CompilerServices;

namespace NET7Loops
{
  [NullableContext(1)]
  [Nullable(0)]
  [SimpleJob(RuntimeMoniker.Net60, -1, -1, -1, -1, null, false)]
  [SimpleJob(RuntimeMoniker.Net70, -1, -1, -1, -1, null, false)]
  [MemoryDiagnoser(false)]
  public class Benchmarks
  {
    private int[] ItemsArray;
    private List<int> ItemsList;

    [GlobalSetup]
    public void Setup()
    {
      Benchmarks.<>c__DisplayClass2_0 cDisplayClass20 = new Benchmarks.<>c__DisplayClass2_0();
      cDisplayClass20.random = new Random(420);
      IEnumerable<int> source = Enumerable.Range(0, 1000).Select<int, int>(new Func<int, int>((object) cDisplayClass20, __methodptr(<Setup>b__0)));
      this.ItemsArray = source.ToArray<int>();
      this.ItemsList = source.ToList<int>();
    }

    [Benchmark(23, "C:\\Prog\\1401\\Net7Tests\\NET7Loops\\Benchmarks.cs")]
    public void For_Array()
    {
      for (int index = 0; index < this.ItemsArray.Length; ++index)
      {
        int items = this.ItemsArray[index];
      }
    }

    [Benchmark(32, "C:\\Prog\\1401\\Net7Tests\\NET7Loops\\Benchmarks.cs")]
    public void For_List()
    {
      for (int index = 0; index < this.ItemsList.Count; ++index)
      {
        int items = this.ItemsList[index];
      }
    }

    [Benchmark(41, "C:\\Prog\\1401\\Net7Tests\\NET7Loops\\Benchmarks.cs")]
    public void ForEach_Array()
    {
      int[] itemsArray = this.ItemsArray;
      for (int index = 0; index < itemsArray.Length; ++index)
      {
        int num = itemsArray[index];
      }
    }

    [Benchmark(49, "C:\\Prog\\1401\\Net7Tests\\NET7Loops\\Benchmarks.cs")]
    public void ForEach_List()
    {
      List<int>.Enumerator enumerator = this.ItemsList.GetEnumerator();
      try
      {
        while (enumerator.MoveNext())
        {
          int current = enumerator.Current;
        }
      }
      finally
      {
        enumerator.Dispose();
      }
    }

    public Benchmarks()
    {
      base..ctor();
    }

    [CompilerGenerated]
    private sealed class <>c__DisplayClass2_0
    {
      [Nullable(0)]
      public Random random;

      public <>c__DisplayClass2_0()
      {
        base..ctor();
      }

      internal int <Setup>b__0(int _)
      {
        return this.random.Next();
      }
    }
  }
}

for (int index = 0; index < this.ItemsArray.Length; ++index)
{
   int items = this.ItemsArray[index];
}

      List<int>.Enumerator enumerator = this.ItemsList.GetEnumerator();
      try
      {
        while (enumerator.MoveNext())
        {
          int current = enumerator.Current;
        }
      }
      finally
      {
        enumerator.Dispose();
      }

function testScope() {
var myTest = true;
if (true) {
var myTest = "I am changed!"
}
alert(myTest);
}
testScope(); // will alert "I am changed!"

function testScope() {
var myTest = true;
if (true) {
var myTest = "I am changed!"
}
alert(myTest);
}
testScope(); // will alert "I am changed!"
alert(myTest); // will throw a reference error, because it doesn't exist outside of the function

myFunction.apply(thisContext, arrArgs);
myFunction.call(thisContext, arg1, arg2, arg3, ..., argN);

var contextObject = {
testContext: 10
}
var otherContextObject = {
testContext: "Hello World!"
}
var testContext = 15; // Global variable
function testFunction() {
alert(this.testContext);
}
testFunction(); // This will alert 15
testFunction.call(contextObject); // Will alert 10
testFunction.apply(otherContextObject); // Will alert "Hello World”

PM> Install-Package NBench
PM> Install-Package NBench.Runner

[PerfBenchmark(RunMode = RunMode.Iterations, TestMode = TestMode.Measurement)]
[MemoryMeasurement(MemoryMetric.TotalBytesAllocated)]
public void AddMemoryMeasurement()
{
    const int numberOfAdds = 1000000;
    var dictionary = new Dictionary<int, int>();
    for (var i = 0; i < numberOfAdds; i++)
    {
        dictionary.Add(i, i);
    }
}
 
[PerfBenchmark(RunMode = RunMode.Iterations, TestMode = TestMode.Measurement)]
[GcMeasurement(GcMetric.TotalCollections, GcGeneration.AllGc)]
public void MeasureGarbageCollections()
{
    var dataCache = new List<int[]>();
    for (var i = 0; i < 500; i++)
    {
        for (var j = 0; j < 10000; j++)
        {
            var data = new int[100];
            dataCache.Add(data.ToArray());
        }
 
        dataCache.Clear();
    }
}

 D:\Prog\NBenchSample\packages\NBench.Runner.0.3.4\lib\net45\NBench.Runner.exe "D:\Prog\NBenchSample\NBenchSample\bin\Release\NBenchSample.exe"

 --------------- RESULTS: NBenchSample.Program+AddMemoryMeasurement ---------------
TotalBytesAllocated: Max: 47,842,944.00 bytes, Average: 42,002,757.60 bytes, Min: 41,353,848.00 bytes, StdDev: 2,052,032.33 bytes
TotalBytesAllocated: Max / s: 359,074,078.19 bytes, Average / s: 311,474,786.96 bytes, Min / s: 300,926,928.79 bytes, StdDev / s: 16,869,581.62 bytes

--------------- RESULTS: NBenchSample.Program+MeasureGarbageCollections ---------------
TotalCollections [Gen0]: Max: 708.00 collections, Average: 702.80 collections, Min: 697.00 collections, StdDev: 3.65 collections
TotalCollections [Gen0]: Max / s: 111.55 collections, Average / s: 109.87 collections, Min / s: 107.88 collections, StdDev / s: 1.28 collections

TotalCollections [Gen1]: Max: 338.00 collections, Average: 334.60 collections, Min: 330.00 collections, StdDev: 2.41 collections
TotalCollections [Gen1]: Max / s: 53.61 collections, Average / s: 52.31 collections, Min / s: 51.10 collections, StdDev / s: 0.70 collections

TotalCollections [Gen2]: Max: 32.00 collections, Average: 24.80 collections, Min: 18.00 collections, StdDev: 4.73 collections
TotalCollections [Gen2]: Max / s: 4.91 collections, Average / s: 3.87 collections, Min / s: 2.86 collections, StdDev / s: 0.72 collections

[PerfBenchmark(RunMode = RunMode.Iterations, TestMode = TestMode.Measurement)]
[MemoryMeasurement(MemoryMetric.TotalBytesAllocated)]
public void AddMemoryMeasurement_With_initial_Size()
{
    const int numberOfAdds = 1000000;
    var dictionary = new Dictionary<int, int>(numberOfAdds);
    for (var i = 0; i < numberOfAdds; i++)
    {
        dictionary.Add(i, i);
    }
}

 --------------- RESULTS: NBenchSample.Program+AddMemoryMeasurement_With_initial_Size ---------------
TotalBytesAllocated: Max: 23,245,912.00 bytes, Average: 23,245,912.00 bytes, Min: 23,245,912.00 bytes, StdDev: 0.00 bytes
TotalBytesAllocated: Max / s: 394,032,435.34 bytes, Average / s: 389,108,363.43 bytes, Min / s: 378,502,981.34 bytes, StdDev / s: 5,575,519.09 bytes

public class DictionaryThroughputTests
{
    private readonly Dictionary<int, int> _dictionary = new Dictionary<int, int>();
 
    private const string AddCounterName = "AddCounter";
    private Counter _addCounter;
    private int _key;
 
    private const int AverageOperationsPerSecond = 20000000;
 
    [PerfSetup]
    public void Setup(BenchmarkContext context)
    {
        _addCounter = context.GetCounter(AddCounterName);
        _key = 0;
    }
 
    [PerfBenchmark(RunMode = RunMode.Throughput, TestMode = TestMode.Test)]
    [CounterThroughputAssertion(AddCounterName, MustBe.GreaterThan, AverageOperationsPerSecond)]
    public void AddThroughput_ThroughputMode(BenchmarkContext context)
    {
        _dictionary.Add(_key++, _key);
        _addCounter.Increment();
    }
 
    [PerfBenchmark(RunMode = RunMode.Iterations, TestMode = TestMode.Test)]
    [CounterThroughputAssertion(AddCounterName, MustBe.GreaterThan, AverageOperationsPerSecond)]
    public void AddThroughput_IterationsMode(BenchmarkContext context)
    {
        for (var i = 0; i < AverageOperationsPerSecond; i++)
        {
            _dictionary.Add(i, i);
            _addCounter.Increment();
        }
    }
 
    [PerfCleanup]
    public void Cleanup(BenchmarkContext context)
    {
        _dictionary.Clear();
    }
}

 --------------- RESULTS: NBenchSample.DictionaryThroughputTests+AddThroughput_ThroughputMode ---------------
[Counter] AddCounter: Max: 575,654.00 operations, Average: 575,654.00 operations, Min: 575,654.00 operations, StdDev: 0.00 operations
[Counter] AddCounter: Max / s: 7,205,997.59 operations, Average / s: 7,163,894.30 operations, Min / s: 7,075,316.79 operations, StdDev / s: 42,518.20 operations

--------------- RESULTS: NBenchSample.DictionaryThroughputTests+AddThroughput_IterationsMode ---------------
[Counter] AddCounter: Max: 20,000,000.00 operations, Average: 20,000,000.00 operations, Min: 20,000,000.00 operations, StdDev: 0.00 operations
[Counter] AddCounter: Max / s: 7,409,380.61 operations, Average / s: 7,250,991.24 operations, Min / s: 6,880,938.73 operations, StdDev / s: 148,085.19 operations

LINQ Extensions Library - Pivot Extensions

The pivot feature enables transforming a collection of objects into a new collection of objects flattening the original hierarchy

: In the following example The Pivot extension method is used to transform a collection as follow

Updating and deleting documents, creating queries, and managing query results in Microsoft's new NoSQL database-as-a-service. 

1) 101 will be maintained to minimize overlap with vanilla JS.

2) No need for custom builds.

Performance is a feature of .NET. In every release the .NET team and community contributors spend time making performance improvements, so .NET apps are faster and use less resources. 

Performance counters are really important for monitoring and troubleshooting problems with your .NET applications. The full .NET Framework provides a wide array of performance counters that are very useful for troubleshooting application problems.