Parquet.Net 1.0.0-alpha-91

This is a prerelease version of Parquet.Net.
There is a newer version of this package available.
See the version list below for details.
The owner has unlisted this package. This could mean that the package is deprecated, has security vulnerabilities or shouldn't be used anymore.
dotnet add package Parquet.Net --version 1.0.0-alpha-91
                    
NuGet\Install-Package Parquet.Net -Version 1.0.0-alpha-91
                    
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="Parquet.Net" Version="1.0.0-alpha-91" />
                    
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="Parquet.Net" Version="1.0.0-alpha-91" />
                    
Directory.Packages.props
<PackageReference Include="Parquet.Net" />
                    
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 Parquet.Net --version 1.0.0-alpha-91
                    
#r "nuget: Parquet.Net, 1.0.0-alpha-91"
                    
#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=Parquet.Net&version=1.0.0-alpha-91&prerelease
                    
Install Parquet.Net as a Cake Addin
#tool nuget:?package=Parquet.Net&version=1.0.0-alpha-91&prerelease
                    
Install Parquet.Net as a Cake Tool

A .NET library to read and write Apache Parquet files.

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.  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. 
.NET Core netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard1.4 is compatible.  netstandard1.5 was computed.  netstandard1.6 is compatible.  netstandard2.0 was computed.  netstandard2.1 was computed. 
.NET Framework net451 is compatible.  net452 was computed.  net46 was computed.  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 tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Universal Windows Platform uap was computed.  uap10.0 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.

NuGet packages (34)

Showing the top 5 NuGet packages that depend on Parquet.Net:

Package Downloads
ChoETL.Parquet

Parquet extension to Cinchoo ETL framework

Microsoft.DataPrep

Microsoft Azure Machine Learning Data Preparation SDK.

ETLBox.Parquet

This is the Parquet connector for ETLBox. It lets you handle Parquet files, offering an efficient way to process columnar data. ETLBox is a complete ETL (Extract, Transform, Load) library and data integration toolbox for .NET. # Build scalable, code-first ETL pipelines for SQL, NoSQL, APIs, and flat files. # Automate data movement, transformation, and synchronization with minimal memory usage. # Ideal for data warehousing, migrations, and big data processing. Simplify your data integration workflow: ETLBox enables efficient, asynchronous data processing by reading from databases, APIs, and file formats like CSV, Excel, and JSON. Transform data dynamically with row-based, batch, or lookup transformations, and read or write from/to multiple destinations in parallel. Key Features: * Stream large datasets efficiently without loading everything into memory * Maximize performance with parallel, task-based data flow execution * Connect to various data sources with built-in connectors or extend with custom components For tutorials, examples, and documentation, visit: https://www.etlbox.net/

Komodo.Core

Komodo core libraries for crawling (file, object, web, database), parsing (JSON, XML, SQL, Sqlite, HTML, text), postings (inverted index, token extraction), indexing (search), metadata generation, and integrating within your application. Komodo is an information search, metadata, storage, and retrieval platform.

PCAxis.Serializers

Paxiom serializers for formats like Excel, jsonstat, jsonstat2, sdmx

GitHub repositories (8)

Showing the top 5 popular GitHub repositories that depend on Parquet.Net:

Repository Stars
dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
ravendb/ravendb
ACID Document Database
mukunku/ParquetViewer
Simple Windows desktop application for viewing & querying Apache Parquet files
Cinchoo/ChoETL
ETL framework for .NET (Parser / Writer for CSV, Flat, Xml, JSON, Key-Value, Parquet, Yaml, Avro formatted files)
compomics/ThermoRawFileParser
Thermo RAW file parser that runs on Linux/Mac and all other platforms that support Mono
Version Downloads Last updated
5.1.1 72,621 2/27/2025
5.1.1-pre.3 174 2/26/2025
5.1.1-pre.2 669 1/31/2025
5.1.1-pre.1 93 1/30/2025
5.1.0 90,098 1/30/2025
5.1.0-pre.1 74 1/30/2025
5.0.3-pre.3 2,112 12/4/2024
5.0.3-pre.2 131 12/3/2024
5.0.3-pre.1 228 11/19/2024
5.0.2 304,686 11/14/2024
5.0.2-pre.2 592 11/12/2024
5.0.2-pre.1 99 11/11/2024
5.0.1 180,480 10/14/2024
5.0.1-pre.1 1,920 10/3/2024
5.0.0 41,064 10/3/2024
5.0.0-pre.4 77 10/2/2024
5.0.0-pre.3 70 10/2/2024
5.0.0-pre.2 1,114 9/30/2024
5.0.0-pre.1 146 9/23/2024
4.25.0 200,484 9/9/2024
4.25.0-pre.3 155 9/6/2024
4.25.0-pre.2 3,809 6/11/2024
4.25.0-pre.1 114 6/7/2024
4.24.0 510,690 6/6/2024
4.24.0-pre.8 82 6/4/2024
4.24.0-pre.7 87 6/4/2024
4.24.0-pre.6 86 6/3/2024
4.24.0-pre.5 66 6/3/2024
4.24.0-pre.4 96 5/31/2024
4.24.0-pre.3 84 5/31/2024
4.24.0-pre.2 1,927 5/28/2024
4.24.0-pre.1 130 5/22/2024
4.23.5 314,766 4/4/2024
4.23.4 639,803 2/2/2024
4.23.3 25,603 1/25/2024
4.23.2 11,364 1/22/2024
4.23.1 7,802 1/19/2024
4.23.0 2,928 1/18/2024
4.22.1 10,045 1/17/2024
4.22.0 64,971 1/11/2024
4.20.1 5,843 1/10/2024
4.20.0 15,441 1/8/2024
4.19.0 31,930 1/5/2024
4.18.1 14,696 12/31/2023
4.18.0 32,362 12/22/2023
4.17.0 331,485 11/14/2023
4.16.4 652,747 9/11/2023
4.16.3 33,357 9/4/2023
4.16.2 114,076 8/22/2023
4.16.1 4,260 8/21/2023
4.16.0 2,685 8/17/2023
4.15.0 164,859 6/30/2023
4.14.0 29,018 6/28/2023
4.13.0 93,349 6/20/2023
4.12.0 140,182 5/22/2023
4.11.3 12,372 5/18/2023
4.11.2 57,493 5/16/2023
4.11.1 38,938 5/10/2023
4.11.0 5,081 5/9/2023
4.10.1 46,066 5/2/2023
4.10.0 33,442 4/26/2023
4.9.2 2,914 4/25/2023
4.9.1 3,483 4/21/2023
4.9.0 2,245 4/21/2023
4.8.1 12,539 4/19/2023
4.8.0 2,579 4/18/2023
4.8.0-alpha-00 1,570 4/17/2023
4.7.1 6,984 4/14/2023
4.7.0 7,446 4/13/2023
4.6.2 75,885 3/28/2023
4.6.1 8,804 3/23/2023
4.6.0 12,693 3/21/2023
4.5.4 350,804 2/23/2023
4.5.3 18,373 2/22/2023
4.5.2 12,324 2/20/2023
4.5.1 9,617 2/14/2023
4.5.0 9,648 2/13/2023
4.4.7 15,346 2/8/2023
4.4.6 50,880 1/31/2023
4.4.5 3,425 1/30/2023
4.4.4 2,644 1/27/2023
4.4.3 3,680 1/26/2023
4.4.2 1,757 1/26/2023
4.4.1 2,294 1/25/2023
4.4.0 3,269 1/24/2023
4.3.4 1,998 1/23/2023
4.3.3 2,181 1/20/2023
4.3.2 2,092 1/19/2023
4.3.1 1,724 1/19/2023
4.3.0 2,880 1/18/2023
4.2.3 7,612 1/16/2023
4.2.2 10,252 1/11/2023
4.2.1 7,858 1/10/2023
4.2.0 1,993 1/10/2023
4.1.3 67,338 12/21/2022
4.1.2 32,258 12/1/2022
4.1.1 121,028 11/10/2022
4.1.0 324,876 10/13/2022
4.0.2 10,667 10/12/2022
4.0.1 46,382 10/11/2022
4.0.0 62,756 9/22/2022
3.10.0 371,283 9/20/2022
3.9.1 1,654,451 10/14/2021
3.9.0 389,737 6/25/2021
3.8.6 505,891 3/5/2021
3.8.5 26,586 2/23/2021
3.8.4 299,824 12/13/2020
3.8.3 2,433 12/10/2020
3.8.2 2,005 12/10/2020
3.8.1 32,360 11/6/2020
3.8.0 4,421 11/6/2020
3.7.7 337,894 6/25/2020
3.7.6 26,637 6/16/2020
3.7.5 14,606 6/8/2020
3.7.4 199,847 5/19/2020
3.7.2 3,937 5/18/2020
3.7.1 49,030 4/21/2020
3.7.0 67,660 4/19/2020
3.6.0 5,577,780 1/23/2020
3.5.3 15,987 1/8/2020
3.5.2 3,573 1/3/2020
3.5.1 2,286 12/31/2019
3.5.0 12,048 12/18/2019
3.4.3 7,467 12/16/2019
3.4.2 3,824 12/13/2019
3.4.1 2,235 12/11/2019
3.4.0 3,147 12/11/2019
3.3.11 6,947 12/1/2019
3.3.10 56,835 11/6/2019
3.3.9 190,557 8/15/2019
3.3.8 8,838 8/1/2019
3.3.7 2,205 8/1/2019
3.3.6 2,331 7/31/2019
3.3.5 35,922 7/5/2019
3.3.4 192,236 3/11/2019
3.3.3 20,729 2/1/2019
3.3.2 26,884 1/21/2019
3.3.1 4,642 1/14/2019
3.3.0 3,840 1/11/2019
3.2.6 2,943 1/11/2019
3.2.5 4,594 1/3/2019
3.2.4 12,351 11/21/2018
3.2.3 59,683 11/7/2018
3.2.2 5,431 10/30/2018
3.2.1 2,528 10/30/2018
3.2.0 3,233 10/24/2018
3.1.4 2,565 10/15/2018
3.1.3 2,453 10/15/2018
3.1.2 49,539 10/11/2018
3.1.1 2,915 10/4/2018
3.1.0 2,915 10/3/2018
3.1.0-preview-390 2,122 10/3/2018
3.1.0-preview-373 2,386 10/2/2018
3.0.5 9,220 8/13/2018
3.0.4 2,616 7/25/2018
3.0.3 2,474 7/25/2018
3.0.2 2,929 7/24/2018
3.0.1 2,469 7/24/2018
3.0.0 3,516 7/19/2018
2.1.4 101,265 6/7/2018
2.1.3 263,192 3/30/2018
2.1.2 452,988 1/10/2018
2.1.1 128,243 12/1/2017
2.1.0 2,845 11/29/2017
2.0.1 2,622 11/27/2017
2.0.0 3,573 11/27/2017
1.5.1 3,447 11/14/2017
1.4.0 6,795 10/23/2017
1.3.0 5,473 9/12/2017
1.2.139 3,549 9/6/2017
1.1.128 3,417 8/15/2017
1.0.114 2,794 7/31/2017