BigPipe.Analytics 0.1.0

.NET 10.0 This package targets .NET 10.0. The package is compatible with this framework or higher. 
dotnet add package BigPipe.Analytics --version 0.1.0
                    


                    

                
NuGet\Install-Package BigPipe.Analytics -Version 0.1.0
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="BigPipe.Analytics" Version="0.1.0" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="BigPipe.Analytics" Version="0.1.0" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="BigPipe.Analytics" />
                    


                            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 BigPipe.Analytics --version 0.1.0
                    


                    

                
#r "nuget: BigPipe.Analytics, 0.1.0"
#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. 
#:package BigPipe.Analytics@0.1.0
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=BigPipe.Analytics&version=0.1.0
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=BigPipe.Analytics&version=0.1.0
                    


                            Install as a Cake Tool

BigPipe for .NET

BigPipe is a high performance, Kafka-compatible realtime stream processing platform with per-topic storage: local disk, tiered, or diskless straight to object storage.

Package What it gives you
BigPipe.Client Managed Kafka-protocol producer/consumer (idempotent, consumer groups), share groups, Schema Registry serializers, admin + HTTP clients, DI integration
BigPipe.Streams Stream processing DSL: filter, map, group, tumbling/hopping/sliding/session windows, aggregations, stream-table joins, state stores with changelogs
BigPipe.Analytics Realtime analytics: windows, streaming statistics, sketches (HyperLogLog, Count-Min, Top-K), anomaly detectors
BigPipe.Analytics.Scripting Filter/query streams with C#, Python and JavaScript scripts
BigPipe.Analytics.ML ML.NET: spike/change-point detection, SR-CNN, SSA forecasting, online classifiers
BigPipe.Analytics.Torch TorchSharp: online autoencoder anomaly detection, TorchScript scoring
BigPipe.Analytics.Gravicode GravicodeScience, HF.Net and MediaPipe.NET for stream analytics 
await using var producer = new ProducerBuilder<string, Order>().WithBootstrap("localhost:9092").Build();
await producer.SendAsync("orders", "order-1", new Order(1, 150_000m, "IDR"));

Docs: https://github.com/DotNetVibeCoderz/Vibe_Messaging/tree/main/BigPipe/docs

Dibuat oleh Gravicode Studios dipimpin oleh Kang Fadhil.

Product Compatible and additional computed target framework versions.
.NET net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (4)

Showing the top 4 NuGet packages that depend on BigPipe.Analytics:

Package Downloads
BigPipe.Analytics.ML

ML.NET for BigPipe realtime analytics: spike and change-point detection, SR-CNN window anomaly detection, SSA forecasting, streaming classifiers that retrain on the fly and scoring of saved ML.NET models. Dibuat oleh Gravicode Studios dipimpin oleh Kang Fadhil.
BigPipe.Analytics.Scripting

Dynamic scripting for BigPipe realtime analytics: filter, project and query streams with C# (Roslyn), Python (IronPython) or JavaScript (Jint) expressions compiled at runtime. Dibuat oleh Gravicode Studios dipimpin oleh Kang Fadhil.
BigPipe.Analytics.Torch

TorchSharp deep learning for BigPipe realtime analytics: online autoencoder anomaly detection for multivariate streams, sliding-window detectors and TorchScript model scoring. Uses the TorchSharp API; add TorchSharp-cpu or TorchSharp-cuda-* for the native runtime. Dibuat oleh Gravicode Studios dipimpin oleh Kang Fadhil.
BigPipe.Analytics.Gravicode

Gravicode AI ecosystem for BigPipe realtime analytics: GravicodeScience (GraviNum, GraviFrame DataFrames, GraviLearn clustering and one-class SVM, GraviText sentiment), HF.Net transformers (classification, embeddings, semantic filters) and MediaPipe.NET text tasks (sentiment, language detection). Dibuat oleh Gravicode Studios dipimpin oleh Kang Fadhil.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last Updated
0.1.0 45 9/29/2026