Nova vs TensorSharp

Nova is the analytics and orchestration layer for AI products. Track usage, evaluate quality, and iterate on prompts, all in one dashboard.

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

About Nova

Nova is the analytics and orchestration layer for AI products. Track usage, evaluate quality, and iterate on prompts, all in one dashboard. Nova gives you the observability layer your AI features deserve. Run controlled experiments across prompt variants and route traffic to the winner automatically. By the end of the day we had dashboards our whole team actually uses. You can redact PII at the SDK level before anything leaves your servers. Overage is billed at $1 per 10k events, and you can set a hard cap if you prefer strict budgets.

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.