EvaluatedApplications.EvalApp
1.6.0
dotnet add package EvaluatedApplications.EvalApp --version 1.6.0
NuGet\Install-Package EvaluatedApplications.EvalApp -Version 1.6.0
<PackageReference Include="EvaluatedApplications.EvalApp" Version="1.6.0" />
<PackageVersion Include="EvaluatedApplications.EvalApp" Version="1.6.0" />
<PackageReference Include="EvaluatedApplications.EvalApp" />
paket add EvaluatedApplications.EvalApp --version 1.6.0
#r "nuget: EvaluatedApplications.EvalApp, 1.6.0"
#:package EvaluatedApplications.EvalApp@1.6.0
#addin nuget:?package=EvaluatedApplications.EvalApp&version=1.6.0
#tool nuget:?package=EvaluatedApplications.EvalApp&version=1.6.0
EvalApp
Async pipeline runtime for .NET. The shared execution substrate for Evaluated Applications products: resource-gated concurrency with adaptive/Bayesian auto-tuning, sagas with compensation, pluggable middleware, and a fluent builder.
Highlights
- Resource-gated concurrency — declare CPU / IO / Network resources and let the runtime bound parallelism per resource.
- Adaptive tuning — the runtime learns concurrency settings over runs (adaptive and Bayesian tuners) and persists them.
- Sagas with compensation — multi-step flows that roll back cleanly on failure.
- Middleware — retry, timeout, circuit breaker, timing, audit, validation.
- Fluent API — compose pipelines with a readable builder.
License
Proprietary — this package ships the compiled library only; source is not distributed. Every
capability in it is free to use; a license key is reserved for future advanced features (none are
gated today). See LICENSE. Copyright (c) 2026 Dongyang Stephen Chen, trading as Evaluated
Applications. All rights reserved.
| Product | Versions Compatible and additional computed target framework versions. |
|---|---|
| .NET | 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. 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. net10.0 was computed. 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. |
-
net8.0
- No dependencies.
NuGet packages (4)
Showing the top 4 NuGet packages that depend on EvaluatedApplications.EvalApp:
| Package | Downloads |
|---|---|
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EvaluatedApplications.HoloDb
An embeddable holographic SQL database for .NET: transactional (ACID with a write-ahead log), columnar storage with compiled predicates, holo-native constant-time integer aggregates, and hash joins, with an optional memory-mapped larger-than-memory tier. INT / TEXT / REAL columns and INT or TEXT/GUID primary keys. An EvalApp-backed data-parallel query path (parallel scans, group-by, top-K, and SIMD real aggregates). Built for real-time metrics: live aggregate reads (whole-table and grouped counts/sums) are served lock-free from a snapshot published after each write, so a streaming ingest never stalls a dashboard read; a per-query usage meter (rows/bytes processed) is available for billing. Integrates as an EvalApp extension — attach it to a pipeline and query it from a step — with async execution. |
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EvaluatedApplications.AlgFormer
The reusable phasor-model engine from PrismFormer: define a model, train it data-parallel through an EvalApp pipeline, and run inference (predict / generate, with an optional KV cache). Ships two param-for-param comparable cores — AlgFormer (softmax dot-product attention) and HoloFormer (holographic-native attention: bind the key to its value, causally bundle into one superposed memory trace, then resonate the query to retrieve, O(T·d) with O(1) KV-serve) — plus HoloShape capacity-law sizing. Pure double[] + SIMD, no external ML runtime. Built on the Phasor VSA codec and the EvalApp pipeline runtime. |
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EvaluatedApplications.Tracer
Fast pathfinding and game-AI SDK: navmesh pathfinding, multi-agent scheduling, dynamic obstacles, line-of-sight, fog-of-war, influence maps, grid tactics (tile line-of-sight, movement range, cover, target selection), and tactical behaviors. Built on the EvalApp pipeline runtime, with parallel, adaptively-tuned execution. |
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EvaluatedApplications.EvalApp.Neural
An always-learning neural concurrency tuner for EvalApp. A tiny holographic policy model (HoloFormer, ~0.4ms/decision) tunes resource-gate concurrency online and reacts in real time as conditions change; it ships warm and keeps learning. It matches the built-in heuristic on lean/clean pipelines and beats it on real coupled workloads (~25% faster on a multi-gate DB + disk + CPU benchmark). Opt in with .WithNeuralTuning() on your app. |
GitHub repositories
This package is not used by any popular GitHub repositories.