PivotDataExport 0.0.2

.NET Standard 2.0

dotnet add package PivotDataExport --version 0.0.2

NuGet\Install-Package PivotDataExport -Version 0.0.2

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="PivotDataExport" Version="0.0.2" />

For projects that support PackageReference, copy this XML node into the project file to reference the package.

paket add PivotDataExport --version 0.0.2

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

#r "nuget: PivotDataExport, 0.0.2"

#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.

// Install PivotDataExport as a Cake Addin
#addin nuget:?package=PivotDataExport&version=0.0.2

// Install PivotDataExport as a Cake Tool
#tool nuget:?package=PivotDataExport&version=0.0.2

The NuGet Team does not provide support for this client. Please contact its maintainers for support.

PivotDataExport

Dynamic group, aggregate, sort, pivot data. Output to json, xml, csv or via DataTable. Csv or json with or without header row.

Built on an idea: receive field definitions via api. Fetch, process and return data as result from api, alternatively queue it up and save a file somewhere, that later can be downloaded. So the idea is a dynamic report/export engine that can power a single api (per topic/data source). Kind of similar to GraphQL, but only for reporting/exports. Maybe an api that implement this concept, could be called PivotQL. This library is not PivotQL thou, it is an engine that could power such api.

Example:

Test data used: https://excelbianalytics.com/wp/wp-content/uploads/2020/09/5m-Sales-Records.zip

Read data:

List<CsvRow> salesRecords = null!;
using (var reader = new StreamReader(@"d:\5m Sales Records.csv"))
using (var csv = new CsvReader(reader, CultureInfo.InvariantCulture))
{
  var records = csv.GetRecords<CsvRow>();
  salesRecords = records.ToList();
}

Create fields:

var fields = new List<Field>();

fields.Add(new Field<CsvRow, string>(nameof(CsvRow.Region), row => row.Region, Aggregators.CommaList)
{
  GroupIndex = 0,
  Area = Area.Row,
  SortOrder = SortOrder.Asc
});
fields.Add(new Field<CsvRow, string>(nameof(CsvRow.Country), row => row.Country, Aggregators.CommaList)
{
  GroupIndex = 1,
  Area = Area.Row,
  SortOrder = SortOrder.Desc
});

fields.Add(new Field<CsvRow, string>(nameof(CsvRow.ItemType), row => row.ItemType, Aggregators.CommaList)
{
  GroupIndex = 0,
  Area = Area.Column,
  SortOrder = SortOrder.Desc
});
fields.Add(new Field<CsvRow, string>(nameof(CsvRow.SalesChannel), row => row.SalesChannel, Aggregators.CommaList)
{
  GroupIndex = 1,
  Area = Area.Column,
  SortOrder = SortOrder.Asc
});

fields.Add(new Field<CsvRow, long>(nameof(CsvRow.UnitsSold), row => row.UnitsSold, Enumerable.Sum);

Group, aggregate, sort:

var pivot = new Pivoter<CsvRow>(salesRecords, fields);
var data = pivot.GetGroupedData_FastIntersect();
var pres = new Presentation<CsvRow>(data);

Get table:

var nested_kv_tbl = pres.GetTable_NestedKeyValueList_VariableColumns();

Code:

using (var f = File.Open(@"d:\pivottest\test5mill_nested_kv.json", FileMode.Create))
{
	JsonSerializer.Serialize(f, nested_kv_tbl, new JsonSerializerOptions { WriteIndented = true });
}

Produce:

{
  "Rows": [
    {
      "Region": "Asia",
      "Country": "Vietnam",
      "ItemTypeList": [
        {
          "ItemType": "Vegetables",
          "SalesChannelList": [
            {
              "SalesChannel": "Offline",
              "UnitsSold": 5820281
            },
            {
              "SalesChannel": "Online",
              "UnitsSold": 5501045
            }
          ]
        },
		...

Code:

using (var f = File.Open(@"d:\pivottest\test5mill_nested_kv.xml", FileMode.Create))
{
	nested_kv_tbl.WriteXml(f);
}

Produce:

<?xml version="1.0" encoding="utf-8"?>
<Table>
  <Rows>
    <Row>
      <Region>Asia</Region>
      <Country>Vietnam</Country>
      <ItemTypeList>
        <Entry>
          <ItemType>Vegetables</ItemType>
          <SalesChannelList>
            <Entry>
              <SalesChannel>Offline</SalesChannel>
              <UnitsSold>5820281</UnitsSold>
            </Entry>
            <Entry>
              <SalesChannel>Online</SalesChannel>
              <UnitsSold>5501045</UnitsSold>
            </Entry>
          </SalesChannelList>
        </Entry>
		...

Code:

// not supported
//using (var f = File.Open(@"d:\test5mill_nested_kv.csv", FileMode.Create))
//{
//	nested_kv_tbl.WriteCsv(f);
//}

Get table:

var flat_kv_tbl = pres.GetTable_FlatKeyValueList_CompleteColumns();

Code:

using (var f = File.Open(@"d:\pivottest\test5mill_flat_kv.json", FileMode.Create))
{
	JsonSerializer.Serialize(f, flat_kv_tbl, new JsonSerializerOptions { WriteIndented = true });
}

Produce:

{
  "Rows": [
    {
      "Region": "Asia",
      "Country": "Vietnam",
      "/ItemType:Vegetables/SalesChannel:Offline/UnitsSold": 5820281,
      "/ItemType:Vegetables/SalesChannel:Online/UnitsSold": 5501045,
      "/ItemType:Snacks/SalesChannel:Offline/UnitsSold": 5479038,
      "/ItemType:Snacks/SalesChannel:Online/UnitsSold": 5797606,
      "/ItemType:Personal Care/SalesChannel:Offline/UnitsSold": 5561844,
      "/ItemType:Personal Care/SalesChannel:Online/UnitsSold": 5606394,
      "/ItemType:Office Supplies/SalesChannel:Offline/UnitsSold": 5512339,
      "/ItemType:Office Supplies/SalesChannel:Online/UnitsSold": 5647800,
      "/ItemType:Meat/SalesChannel:Offline/UnitsSold": 5538231,
      "/ItemType:Meat/SalesChannel:Online/UnitsSold": 5593779,
      "/ItemType:Household/SalesChannel:Offline/UnitsSold": 5616672,
      "/ItemType:Household/SalesChannel:Online/UnitsSold": 5651216,
      "/ItemType:Fruits/SalesChannel:Offline/UnitsSold": 5712683,
      "/ItemType:Fruits/SalesChannel:Online/UnitsSold": 5767442,
      "/ItemType:Cosmetics/SalesChannel:Offline/UnitsSold": 5514074,
      "/ItemType:Cosmetics/SalesChannel:Online/UnitsSold": 5692946,
      "/ItemType:Clothes/SalesChannel:Offline/UnitsSold": 5463956,
      "/ItemType:Clothes/SalesChannel:Online/UnitsSold": 5678553,
      "/ItemType:Cereal/SalesChannel:Offline/UnitsSold": 5704591,
      "/ItemType:Cereal/SalesChannel:Online/UnitsSold": 5522784,
      "/ItemType:Beverages/SalesChannel:Offline/UnitsSold": 5462035,
      "/ItemType:Beverages/SalesChannel:Online/UnitsSold": 5643938,
      "/ItemType:Baby Food/SalesChannel:Offline/UnitsSold": 5738685,
      "/ItemType:Baby Food/SalesChannel:Online/UnitsSold": 5468720
    },
    ...

Code:

using (var f = File.Open(@"d:\pivottest\test5mill_flat_kv.xml", FileMode.Create))
{
	flat_kv_tbl.WriteXml(f);
}

Produce:

<?xml version="1.0" encoding="utf-8"?>
<Table>
  <Rows>
    <Row>
      <Region>Asia</Region>
      <Country>Vietnam</Country>
      </ItemType:Vegetables/SalesChannel:Offline/UnitsSold>5820281<//ItemType:Vegetables/SalesChannel:Offline/UnitsSold>
      </ItemType:Vegetables/SalesChannel:Online/UnitsSold>5501045<//ItemType:Vegetables/SalesChannel:Online/UnitsSold>
      </ItemType:Snacks/SalesChannel:Offline/UnitsSold>5479038<//ItemType:Snacks/SalesChannel:Offline/UnitsSold>
      </ItemType:Snacks/SalesChannel:Online/UnitsSold>5797606<//ItemType:Snacks/SalesChannel:Online/UnitsSold>
      </ItemType:Personal Care/SalesChannel:Offline/UnitsSold>5561844<//ItemType:Personal Care/SalesChannel:Offline/UnitsSold>
      </ItemType:Personal Care/SalesChannel:Online/UnitsSold>5606394<//ItemType:Personal Care/SalesChannel:Online/UnitsSold>
      </ItemType:Office Supplies/SalesChannel:Offline/UnitsSold>5512339<//ItemType:Office Supplies/SalesChannel:Offline/UnitsSold>
      </ItemType:Office Supplies/SalesChannel:Online/UnitsSold>5647800<//ItemType:Office Supplies/SalesChannel:Online/UnitsSold>
      </ItemType:Meat/SalesChannel:Offline/UnitsSold>5538231<//ItemType:Meat/SalesChannel:Offline/UnitsSold>
      </ItemType:Meat/SalesChannel:Online/UnitsSold>5593779<//ItemType:Meat/SalesChannel:Online/UnitsSold>
      </ItemType:Household/SalesChannel:Offline/UnitsSold>5616672<//ItemType:Household/SalesChannel:Offline/UnitsSold>
      </ItemType:Household/SalesChannel:Online/UnitsSold>5651216<//ItemType:Household/SalesChannel:Online/UnitsSold>
      </ItemType:Fruits/SalesChannel:Offline/UnitsSold>5712683<//ItemType:Fruits/SalesChannel:Offline/UnitsSold>
      </ItemType:Fruits/SalesChannel:Online/UnitsSold>5767442<//ItemType:Fruits/SalesChannel:Online/UnitsSold>
      </ItemType:Cosmetics/SalesChannel:Offline/UnitsSold>5514074<//ItemType:Cosmetics/SalesChannel:Offline/UnitsSold>
      </ItemType:Cosmetics/SalesChannel:Online/UnitsSold>5692946<//ItemType:Cosmetics/SalesChannel:Online/UnitsSold>
      </ItemType:Clothes/SalesChannel:Offline/UnitsSold>5463956<//ItemType:Clothes/SalesChannel:Offline/UnitsSold>
      </ItemType:Clothes/SalesChannel:Online/UnitsSold>5678553<//ItemType:Clothes/SalesChannel:Online/UnitsSold>
      </ItemType:Cereal/SalesChannel:Offline/UnitsSold>5704591<//ItemType:Cereal/SalesChannel:Offline/UnitsSold>
      </ItemType:Cereal/SalesChannel:Online/UnitsSold>5522784<//ItemType:Cereal/SalesChannel:Online/UnitsSold>
      </ItemType:Beverages/SalesChannel:Offline/UnitsSold>5462035<//ItemType:Beverages/SalesChannel:Offline/UnitsSold>
      </ItemType:Beverages/SalesChannel:Online/UnitsSold>5643938<//ItemType:Beverages/SalesChannel:Online/UnitsSold>
      </ItemType:Baby Food/SalesChannel:Offline/UnitsSold>5738685<//ItemType:Baby Food/SalesChannel:Offline/UnitsSold>
      </ItemType:Baby Food/SalesChannel:Online/UnitsSold>5468720<//ItemType:Baby Food/SalesChannel:Online/UnitsSold>
    </Row>
    ...

Code:

using (var f = File.Open(@"d:\pivottest\test5mill_flat_kv.csv", FileMode.Create))
{
	flat_kv_tbl.WriteCsv(f);
}

Produce:

Region;Country;/ItemType:Vegetables/SalesChannel:Offline/UnitsSold;/ItemType:Vegetables/SalesChannel:Online/UnitsSold;/ItemType:Snacks/SalesChannel:Offline/UnitsSold;/ItemType:Snacks/SalesChannel:Online/UnitsSold;/ItemType:Personal Care/SalesChannel:Offline/UnitsSold;/ItemType:Personal Care/SalesChannel:Online/UnitsSold;/ItemType:Office Supplies/SalesChannel:Offline/UnitsSold;/ItemType:Office Supplies/SalesChannel:Online/UnitsSold;/ItemType:Meat/SalesChannel:Offline/UnitsSold;/ItemType:Meat/SalesChannel:Online/UnitsSold;/ItemType:Household/SalesChannel:Offline/UnitsSold;/ItemType:Household/SalesChannel:Online/UnitsSold;/ItemType:Fruits/SalesChannel:Offline/UnitsSold;/ItemType:Fruits/SalesChannel:Online/UnitsSold;/ItemType:Cosmetics/SalesChannel:Offline/UnitsSold;/ItemType:Cosmetics/SalesChannel:Online/UnitsSold;/ItemType:Clothes/SalesChannel:Offline/UnitsSold;/ItemType:Clothes/SalesChannel:Online/UnitsSold;/ItemType:Cereal/SalesChannel:Offline/UnitsSold;/ItemType:Cereal/SalesChannel:Online/UnitsSold;/ItemType:Beverages/SalesChannel:Offline/UnitsSold;/ItemType:Beverages/SalesChannel:Online/UnitsSold;/ItemType:Baby Food/SalesChannel:Offline/UnitsSold;/ItemType:Baby Food/SalesChannel:Online/UnitsSold
Asia;Vietnam;5820281;5501045;5479038;5797606;5561844;5606394;5512339;5647800;5538231;5593779;5616672;5651216;5712683;5767442;5514074;5692946;5463956;5678553;5704591;5522784;5462035;5643938;5738685;5468720
...

Get table:

var array_tbl = pres.GetTable_Array();

Code:

using (var f = File.Open(@"d:\pivottest\test5mill_array.json", FileMode.Create))
{
	JsonSerializer.Serialize(f, array_tbl.AddHeaderRowClone(), new JsonSerializerOptions { WriteIndented = true });
}

Produce:

{
  "Rows": [
    [
      "Region",
      "Country",
      "/ItemType:Vegetables/SalesChannel:Offline/UnitsSold",
      "/ItemType:Vegetables/SalesChannel:Online/UnitsSold",
      "/ItemType:Snacks/SalesChannel:Offline/UnitsSold",
      "/ItemType:Snacks/SalesChannel:Online/UnitsSold",
      "/ItemType:Personal Care/SalesChannel:Offline/UnitsSold",
      "/ItemType:Personal Care/SalesChannel:Online/UnitsSold",
      "/ItemType:Office Supplies/SalesChannel:Offline/UnitsSold",
      "/ItemType:Office Supplies/SalesChannel:Online/UnitsSold",
      "/ItemType:Meat/SalesChannel:Offline/UnitsSold",
      "/ItemType:Meat/SalesChannel:Online/UnitsSold",
      "/ItemType:Household/SalesChannel:Offline/UnitsSold",
      "/ItemType:Household/SalesChannel:Online/UnitsSold",
      "/ItemType:Fruits/SalesChannel:Offline/UnitsSold",
      "/ItemType:Fruits/SalesChannel:Online/UnitsSold",
      "/ItemType:Cosmetics/SalesChannel:Offline/UnitsSold",
      "/ItemType:Cosmetics/SalesChannel:Online/UnitsSold",
      "/ItemType:Clothes/SalesChannel:Offline/UnitsSold",
      "/ItemType:Clothes/SalesChannel:Online/UnitsSold",
      "/ItemType:Cereal/SalesChannel:Offline/UnitsSold",
      "/ItemType:Cereal/SalesChannel:Online/UnitsSold",
      "/ItemType:Beverages/SalesChannel:Offline/UnitsSold",
      "/ItemType:Beverages/SalesChannel:Online/UnitsSold",
      "/ItemType:Baby Food/SalesChannel:Offline/UnitsSold",
      "/ItemType:Baby Food/SalesChannel:Online/UnitsSold"
    ],
    [
      "Asia",
      "Vietnam",
      5820281,
      5501045,
      5479038,
      5797606,
      5561844,
      5606394,
      5512339,
      5647800,
      5538231,
      5593779,
      5616672,
      5651216,
      5712683,
      5767442,
      5514074,
      5692946,
      5463956,
      5678553,
      5704591,
      5522784,
      5462035,
      5643938,
      5738685,
      5468720
    ],
    ...

Code:

using (var f = File.Open(@"d:\pivottest\test5mill_array.xml", FileMode.Create))
{
	array_tbl.WriteXml(f);
}

Produce:

<?xml version="1.0" encoding="utf-8"?>
<Table>
  <Rows>
    <Row>
      <Region>Asia</Region>
      <Country>Vietnam</Country>
      </ItemType:Vegetables/SalesChannel:Offline/UnitsSold>5820281<//ItemType:Vegetables/SalesChannel:Offline/UnitsSold>
      </ItemType:Vegetables/SalesChannel:Online/UnitsSold>5501045<//ItemType:Vegetables/SalesChannel:Online/UnitsSold>
      </ItemType:Snacks/SalesChannel:Offline/UnitsSold>5479038<//ItemType:Snacks/SalesChannel:Offline/UnitsSold>
      </ItemType:Snacks/SalesChannel:Online/UnitsSold>5797606<//ItemType:Snacks/SalesChannel:Online/UnitsSold>
      </ItemType:Personal Care/SalesChannel:Offline/UnitsSold>5561844<//ItemType:Personal Care/SalesChannel:Offline/UnitsSold>
      </ItemType:Personal Care/SalesChannel:Online/UnitsSold>5606394<//ItemType:Personal Care/SalesChannel:Online/UnitsSold>
      </ItemType:Office Supplies/SalesChannel:Offline/UnitsSold>5512339<//ItemType:Office Supplies/SalesChannel:Offline/UnitsSold>
      </ItemType:Office Supplies/SalesChannel:Online/UnitsSold>5647800<//ItemType:Office Supplies/SalesChannel:Online/UnitsSold>
      </ItemType:Meat/SalesChannel:Offline/UnitsSold>5538231<//ItemType:Meat/SalesChannel:Offline/UnitsSold>
      </ItemType:Meat/SalesChannel:Online/UnitsSold>5593779<//ItemType:Meat/SalesChannel:Online/UnitsSold>
      </ItemType:Household/SalesChannel:Offline/UnitsSold>5616672<//ItemType:Household/SalesChannel:Offline/UnitsSold>
      </ItemType:Household/SalesChannel:Online/UnitsSold>5651216<//ItemType:Household/SalesChannel:Online/UnitsSold>
      </ItemType:Fruits/SalesChannel:Offline/UnitsSold>5712683<//ItemType:Fruits/SalesChannel:Offline/UnitsSold>
      </ItemType:Fruits/SalesChannel:Online/UnitsSold>5767442<//ItemType:Fruits/SalesChannel:Online/UnitsSold>
      </ItemType:Cosmetics/SalesChannel:Offline/UnitsSold>5514074<//ItemType:Cosmetics/SalesChannel:Offline/UnitsSold>
      </ItemType:Cosmetics/SalesChannel:Online/UnitsSold>5692946<//ItemType:Cosmetics/SalesChannel:Online/UnitsSold>
      </ItemType:Clothes/SalesChannel:Offline/UnitsSold>5463956<//ItemType:Clothes/SalesChannel:Offline/UnitsSold>
      </ItemType:Clothes/SalesChannel:Online/UnitsSold>5678553<//ItemType:Clothes/SalesChannel:Online/UnitsSold>
      </ItemType:Cereal/SalesChannel:Offline/UnitsSold>5704591<//ItemType:Cereal/SalesChannel:Offline/UnitsSold>
      </ItemType:Cereal/SalesChannel:Online/UnitsSold>5522784<//ItemType:Cereal/SalesChannel:Online/UnitsSold>
      </ItemType:Beverages/SalesChannel:Offline/UnitsSold>5462035<//ItemType:Beverages/SalesChannel:Offline/UnitsSold>
      </ItemType:Beverages/SalesChannel:Online/UnitsSold>5643938<//ItemType:Beverages/SalesChannel:Online/UnitsSold>
      </ItemType:Baby Food/SalesChannel:Offline/UnitsSold>5738685<//ItemType:Baby Food/SalesChannel:Offline/UnitsSold>
      </ItemType:Baby Food/SalesChannel:Online/UnitsSold>5468720<//ItemType:Baby Food/SalesChannel:Online/UnitsSold>
    </Row>
    ...

Code:

using (var f = File.Open(@"d:\pivottest\test5mill_array.csv", FileMode.Create))
{
	array_tbl.WriteCsv(f);
}

Produce:

Region;Country;/ItemType:Vegetables/SalesChannel:Offline/UnitsSold;/ItemType:Vegetables/SalesChannel:Online/UnitsSold;/ItemType:Snacks/SalesChannel:Offline/UnitsSold;/ItemType:Snacks/SalesChannel:Online/UnitsSold;/ItemType:Personal Care/SalesChannel:Offline/UnitsSold;/ItemType:Personal Care/SalesChannel:Online/UnitsSold;/ItemType:Office Supplies/SalesChannel:Offline/UnitsSold;/ItemType:Office Supplies/SalesChannel:Online/UnitsSold;/ItemType:Meat/SalesChannel:Offline/UnitsSold;/ItemType:Meat/SalesChannel:Online/UnitsSold;/ItemType:Household/SalesChannel:Offline/UnitsSold;/ItemType:Household/SalesChannel:Online/UnitsSold;/ItemType:Fruits/SalesChannel:Offline/UnitsSold;/ItemType:Fruits/SalesChannel:Online/UnitsSold;/ItemType:Cosmetics/SalesChannel:Offline/UnitsSold;/ItemType:Cosmetics/SalesChannel:Online/UnitsSold;/ItemType:Clothes/SalesChannel:Offline/UnitsSold;/ItemType:Clothes/SalesChannel:Online/UnitsSold;/ItemType:Cereal/SalesChannel:Offline/UnitsSold;/ItemType:Cereal/SalesChannel:Online/UnitsSold;/ItemType:Beverages/SalesChannel:Offline/UnitsSold;/ItemType:Beverages/SalesChannel:Online/UnitsSold;/ItemType:Baby Food/SalesChannel:Offline/UnitsSold;/ItemType:Baby Food/SalesChannel:Online/UnitsSold
Asia;Vietnam;5820281;5501045;5479038;5797606;5561844;5606394;5512339;5647800;5538231;5593779;5616672;5651216;5712683;5767442;5514074;5692946;5463956;5678553;5704591;5522784;5462035;5643938;5738685;5468720
...

Product	Compatible and additional computed target framework versions.
.NET	net5.0 was computed. net5.0-windows was computed. net6.0 was computed. 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 was computed. 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.
.NET Core	netcoreapp2.0 was computed. netcoreapp2.1 was computed. netcoreapp2.2 was computed. netcoreapp3.0 was computed. netcoreapp3.1 was computed.
.NET Standard	netstandard2.0 is compatible. netstandard2.1 was computed.
.NET Framework	net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed.
MonoAndroid	monoandroid was computed.
MonoMac	monomac was computed.
MonoTouch	monotouch was computed.
Tizen	tizen40 was computed. tizen60 was computed.
Xamarin.iOS	xamarinios was computed.
Xamarin.Mac	xamarinmac was computed.
Xamarin.TVOS	xamarintvos was computed.
Xamarin.WatchOS	xamarinwatchos was computed.

Compatible target framework(s)

Included target framework(s) (in package)

Learn more about Target Frameworks and .NET Standard.

.NETStandard 2.0
- Microsoft.Bcl.AsyncInterfaces (>= 7.0.0)
- Microsoft.CSharp (>= 4.7.0)
- System.Text.Json (>= 6.0.10)

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
0.0.2	95	10/13/2024
0.0.1	96	10/8/2024

See https://github.com/osexpert/PivotDataExport/blob/master/CHANGELOG.md for details

PivotDataExport 0.0.2

PivotDataExport

.NETStandard 2.0

NuGet packages

GitHub repositories