Dax.Model.Extractor 1.9.0

dotnet add package Dax.Model.Extractor --version 1.9.0                
NuGet\Install-Package Dax.Model.Extractor -Version 1.9.0                
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="Dax.Model.Extractor" Version="1.9.0" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Dax.Model.Extractor --version 1.9.0                
#r "nuget: Dax.Model.Extractor, 1.9.0"                
#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.
// Install Dax.Model.Extractor as a Cake Addin
#addin nuget:?package=Dax.Model.Extractor&version=1.9.0

// Install Dax.Model.Extractor as a Cake Tool
#tool nuget:?package=Dax.Model.Extractor&version=1.9.0                

VertiPaq-Analyzer

VertiPaq Analyzer 2.0 is an open source project available on GitHub that includes several libraries made available on NuGet, enabling the integration of VertiPaq Analyzer features in different tools. These are the libraries available:

  • Dax.Metadata is a representation of the Tabular model including additional information from DMV and statistics about data distribution in the model. This is a .NET Standard library without dependencies on the Tabular Object Model (TOM). This is the core of VertiPaq Analyzer and includes all the information about the data model in a format that will allow a complete anonymization of the data model in a future release.
  • Dax.Model.Extractor populates the Dax.Metadata.Model extracting data from a Tabular model. This library depends on TOM and .NET Framework 2.7.1.
  • Dax.ViewModel provides a view over Dax.Metadata.Model data that can be integrated in applications using the view model, such as the one implemented in DAX Studio (use DAX Studio 2.9.3 or later version). This library is a .NET Standard library.
  • Dax.ViewVpaExport exports the Dax.Model for the consumption in VertiPaq Analyzer 2.0 client tools. This library is a .NET Standard library.
  • Dax.Vpax supports the VPAX format.

Using the VertiPaq Analyzer libraries, a client tool can easily extract the information from a Tabular model, export them in a standard file, and read the same information for visualization purposes. VPAX Format

The VPAX file format is a ZIP file containing the following files:

  • DaxModel.json is a serialization of the Dax.Metadata.Model.
  • DaxVpaView.json is a serialization of the Dax.ViewVpaExport that is used to import data in the VertiPaq Analyzer 2.0 Excel file using a specific macro.
  • Model.bim is an optional file that exports the complete model in TOM format. This file is not used by current client tools, but it could be useful for future extensions.
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. 
.NET Framework net472 is compatible.  net48 was computed.  net481 was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories (2)

Showing the top 2 popular GitHub repositories that depend on Dax.Model.Extractor:

Repository Stars
DaxStudio/DaxStudio
DAX Studio is a tool to write, execute, and analyze DAX queries in Power BI Desktop, Power Pivot for Excel, and Analysis Services Tabular.
marclelijveld/External-Tools-Model-Documentation
This repository includes everything that is needed in order to run the External Tools capability in Power BI Desktop and generate Model Documentation.
Version Downloads Last updated
1.9.0 97 11/12/2024
1.8.0 384 10/19/2024
1.7.2 313 10/2/2024
1.7.1 737 8/9/2024
1.7.0 146 8/5/2024
1.6.0 301 7/16/2024
1.6.0-preview1 86 7/5/2024
1.5.1 2,106 4/10/2024
1.5.0 185 3/27/2024
1.4.2 171 3/20/2024
1.4.1 751 3/5/2024
1.4.0 269 2/22/2024
1.4.0-preview1 304 2/12/2024
1.3.3 1,199 11/16/2023
1.3.2 752 10/20/2023
1.3.1 830 8/23/2023
1.3.0 1,507 7/21/2023
1.2.18 1,165 6/21/2023
1.2.17 667 6/19/2023
1.2.16 694 5/26/2023
1.2.15 726 5/8/2023
1.2.14 713 5/8/2023
1.2.13 685 5/6/2023
1.2.12 823 3/28/2023
1.2.11 1,109 2/3/2023
1.2.10 998 12/31/2022
1.2.9 998 11/11/2022
1.2.8 1,010 10/27/2022
1.2.7 977 10/14/2022
1.2.6 1,162 8/24/2022
1.2.5 972 8/11/2022
1.2.5-preview7 693 8/4/2022
1.2.5-preview6 778 6/16/2022
1.2.5-preview5 662 6/16/2022
1.2.5-preview4 651 6/16/2022
1.2.5-preview3 812 5/15/2022
1.2.5-preview2 652 5/6/2022
1.2.5-preview1 652 5/2/2022
1.2.4 1,037 4/12/2022
1.2.3 951 4/3/2022
1.2.2 982 3/6/2022
1.2.1 992 1/29/2022
1.2.0 837 12/19/2021
1.1.0-beta4 809 7/12/2021
1.1.0-beta3 736 5/9/2021
1.1.0-beta2 733 3/28/2021
1.1.0-beta 720 3/28/2021
1.0.36 1,115 7/12/2021
1.0.35 944 5/12/2021
1.0.34 1,040 3/4/2021
1.0.33 922 2/13/2021
1.0.31 1,097 1/2/2021
1.0.30 1,014 12/19/2020
1.0.29 1,050 12/18/2020
1.0.28 930 12/18/2020
1.0.27 1,579 10/23/2020
1.0.26 1,049 10/8/2020
1.0.25 1,047 8/29/2020
1.0.24 1,193 6/21/2020
1.0.23 1,095 5/28/2020
1.0.22 1,013 5/25/2020
1.0.21 981 5/24/2020
1.0.20 1,076 5/24/2020
1.0.19 1,009 5/24/2020
1.0.18 1,041 5/3/2020
1.0.17 1,050 3/1/2020
1.0.16 1,171 1/8/2020
1.0.15 1,053 12/6/2019
1.0.14 1,025 12/4/2019
1.0.13 1,055 12/4/2019
1.0.12 1,055 11/21/2019
1.0.11 1,023 11/4/2019
1.0.10 1,061 10/30/2019
1.0.9 1,038 10/24/2019
1.0.8 1,037 9/24/2019
1.0.7 1,087 9/23/2019
1.0.6 1,073 9/18/2019
1.0.5 1,071 9/16/2019
1.0.4 1,167 8/31/2019
1.0.3 1,070 8/19/2019
1.0.2 1,065 8/19/2019
1.0.1 1,086 8/19/2019
1.0.0 1,004 8/19/2019