Mocktail vs TensorSharp

Self-hosted mock API server + dashboard in one ~25 MB binary. Define endpoints, generate realistic data, test errors and latency, and inspect live traffic.

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code.

About Mocktail

Self-hosted mock API server + dashboard in one ~25 MB binary. Define endpoints, generate realistic data, test errors and latency, and inspect live traffic. Model the responses your app expects, headers, delays, even the flaky 401, and let Mocktail keep the data lively. Keep responses fixed, generate fresh values on every request ( uuid, email, price, name ), or swap real fields for fake data when you need to anonymize a response. Create an endpoint, hit Test right from the dashboard, and watch it land in the live stream, method, status, latency, and the exact response and headers served.

About TensorSharp

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code. TensorSharp Wiki, Local GGUF inference and agentic work for .NET Skip to content. Everything runs on your own hardware : your laptop, workstation, or server. Inference and agent work stay local by default, there are no per-token fees, and the same engine powers a quick command-line test, a shared internal chatbot, and a production REST endpoint.