Microsoft.ProgramSynthesis 7.11.1

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There is a newer version of this package available.
See the version list below for details.

Requires NuGet 3.3 or higher.

dotnet add package Microsoft.ProgramSynthesis --version 7.11.1
                    
NuGet\Install-Package Microsoft.ProgramSynthesis -Version 7.11.1
                    
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="Microsoft.ProgramSynthesis" Version="7.11.1" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Microsoft.ProgramSynthesis" Version="7.11.1" />
                    
Directory.Packages.props
<PackageReference Include="Microsoft.ProgramSynthesis" />
                    
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 Microsoft.ProgramSynthesis --version 7.11.1
                    
#r "nuget: Microsoft.ProgramSynthesis, 7.11.1"
                    
#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.
#addin nuget:?package=Microsoft.ProgramSynthesis&version=7.11.1
                    
Install as a Cake Addin
#tool nuget:?package=Microsoft.ProgramSynthesis&version=7.11.1
                    
Install as a Cake Tool

Library for automatically synthesizing programs from examples.

Microsoft PROgram Synthesis using Examples SDK (PROSE) is a framework of technologies for automatic generation of programs from input-output examples, keywords, and similar forms of imprecise specification. In PROSE, you define a domain-specific language (DSL) of programs that constitute your domain of useful tasks (e.g. a DSL of CSS selectors). At runtime, you give PROSE some (typically user-provided) input-output examples for the desired program's behavior, and its algorithms synthesize a ranked set of programs from this DSL that are consistent with the given examples. These programs can be saved and applied on similar user data after one learning session (typically with 1-4 examples). PROSE can be used to enable programming-by-example experience in an arbitrary user-facing application, provided the app developer describes its application domain in a DSL form.

As part of the project, the PROSE framework includes a set of specific technologies for various data wrangling domains. These include Transformation.Text, a library of string transformations first shipped as FlashFill in Microsoft Excel 2013, text extraction library with a DSL of programs that find a desired sequence of regions in a textual file, and several others. All of these data wrangling libraries, as well as the underlying program synthesis framework, can currently be used out of the box for research, education, and other non-commercial initiatives.

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on Microsoft.ProgramSynthesis:

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Microsoft.DataPrep

Microsoft Azure Machine Learning Data Preparation SDK.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Microsoft.ProgramSynthesis:

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microsoft/prose
Microsoft Program Synthesis using Examples SDK is a framework of technologies for the automatic generation of programs from input-output examples. This repo includes samples and sample data for the Microsoft Program Synthesis using Example SDK.
Version Downloads Last Updated
10.13.0 9 7/2/2025
10.12.1 148 6/3/2025
10.11.0 168 5/2/2025
10.10.3 185 4/8/2025
10.10.2 174 4/4/2025
10.9.0 201 3/12/2025
10.8.0 252 3/5/2025
10.7.0 149 2/13/2025
10.6.5 144 2/7/2025
10.6.4 148 2/7/2025
10.6.3 133 2/7/2025
10.6.2 125 2/7/2025
10.6.1 136 2/6/2025
10.4.1 223 11/28/2024
10.4.0 133 11/27/2024
10.3.0 424 10/28/2024
10.2.0 290 9/24/2024
10.1.0 179 8/27/2024
10.0.0 189 7/23/2024
9.0.0 468 6/25/2024
8.35.1 232 5/29/2024
8.34.1 212 4/26/2024
8.34.0 180 4/25/2024
8.33.0 341 3/26/2024
8.32.0 207 2/28/2024
8.31.0 5,081 1/25/2024
8.30.0 322 12/20/2023
8.29.0 318 11/27/2023
8.28.0 337 10/24/2023
8.27.0 339 9/25/2023
8.26.0 365 8/30/2023
8.25.0 274 7/24/2023
8.24.0 353 6/26/2023
8.22.0 270 5/24/2023
8.21.0 380 4/24/2023
8.20.0 325 3/30/2023
8.19.0 464 2/27/2023
8.18.0 459 1/25/2023
8.17.0 432 12/20/2022
8.16.0 493 11/21/2022
8.15.0 501 10/31/2022
8.14.0 504 10/24/2022
8.13.0 549 9/28/2022
8.12.0 666 8/24/2022
8.11.0 696 7/25/2022
8.10.0 1,150 6/30/2022
8.9.0 1,237 5/24/2022
8.8.0 747 4/27/2022
8.7.0 736 3/29/2022
8.6.0 1,975 2/28/2022
8.5.0 1,216 1/24/2022
8.4.0 1,219 11/29/2021
8.3.0 720 10/25/2021
8.2.0 699 9/28/2021
8.1.0 674 8/23/2021
8.0.0 741 7/28/2021
7.32.0 897 6/28/2021
7.31.0 647 5/25/2021
7.30.0 707 4/28/2021
7.28.0 758 3/23/2021
7.27.0 749 2/22/2021
7.25.1 762 1/27/2021
7.25.0 721 1/26/2021
7.24.0 819 12/14/2020
7.23.0 1,196 11/23/2020
7.22.0 881 10/26/2020
7.20.0 842 9/28/2020
7.17.0 1,056 8/26/2020
7.16.0 3,350 7/27/2020
7.13.1 9,872 6/25/2020
7.13.0 786 6/22/2020
7.11.1 918 5/15/2020
7.11.0 816 5/15/2020
7.10.0 4,027 4/29/2020
7.9.1 1,427 4/6/2020
7.9.0 813 4/6/2020
7.8.0 946 3/25/2020
7.7.0 987 2/29/2020
7.6.1 1,978 1/28/2020
7.6.0 979 1/27/2020
7.5.1 963 11/26/2019
7.5.0 837 11/26/2019
7.4.0 964 10/29/2019
7.3.0 1,007 9/23/2019
7.1.0 978 8/29/2019
7.0.0 918 7/30/2019
6.21.0 1,071 6/24/2019
6.20.0 74,587 5/30/2019
6.18.0 33,939 4/11/2019
6.17.0 3,634 3/15/2019
6.14.6 1,391 2/16/2019
6.11.0 1,202 1/16/2019
6.10.0 1,150 12/17/2018
6.9.0 1,811 11/16/2018
6.8.1 1,318 10/18/2018
6.8.0 1,112 10/18/2018
6.7.0 1,426 9/20/2018
6.6.0 1,454 8/20/2018
6.5.0 1,430 7/23/2018
6.4.0 1,608 6/26/2018
6.3.0 1,703 5/15/2018
6.2.0 1,626 4/25/2018
6.1.0 1,603 4/16/2018
6.0.0 5,202 3/19/2018
5.1.0 1,678 2/7/2018
5.0.1 1,781 2/5/2018
4.0.0 2,958 9/15/2017
3.2.0 2,261 8/16/2017
3.1.3 2,288 7/18/2017
3.1.2 2,258 7/18/2017
3.0.0 2,988 6/28/2017
2.3.0 3,005 5/15/2017
2.2.0 3,452 4/24/2017
2.1.0 2,987 4/17/2017
2.0.1 2,043 3/18/2017
2.0.0 2,166 3/16/2017
1.1.0 1,811 2/15/2017
1.0.3 1,487 1/22/2017
1.0.2 1,469 1/21/2017
1.0.1 1,499 1/19/2017
0.9.2 1,450 1/16/2017
0.9.0 1,528 1/12/2017
0.1.1-preview-1 1,877 10/30/2015
0.1.1-preview 1,266 10/29/2015
0.1.0-preview-1 1,182 10/28/2015