Developer Tool / AI Research Toolkit
A Python CLI and research toolkit for simulating AI training math before model training. It estimates memory, training time, token budget, config risks, benchmark speed, and reliability, with optional native Rust and C backends.
The page shows a concrete AI-adjacent developer tool with a clear purpose, runnable commands, and implementation details. The README explains what HoprLabs does, how to install and use it, and what outputs it provides, which is enough for a useful public listing.
The snapshot does not show real outputs, screenshots, benchmark results, or documentation beyond the quick-start commands, so a visitor cannot judge accuracy, maturity, or how well the estimates match real training setups.
Last evaluated 134 days ago. Current rank #2161. Up 2 spots in the rankings.
A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
An open-source MCP and CLI tool that lets AI agents read and control the iOS Simulator, build and test Xcode apps, and handle common iOS interactions with a compact screen representation.
Open source inference engine for agents that self-tunes on the user’s hardware to run open models faster, with desktop app support and one-click connections to popular agents.
