semvec/pypi-packages huggingface dataset:
fmot 3.13.6
Femtosense Model Optimization Toolkit
Requires Python: >=3.6

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# fmot
The Femtosense Model Optimization Toolkit (fmot) quantizes neural network models from PyTorch for deployment on Femtosense hardware.

See the documentation at [fmot.femtosense.ai](fmot.femtosense.ai) for more details.
ghostqa 0.1.0
AI persona-based behavioral testing for web apps. No test scripts. YAML-configured. Vision-powered.
Requires Python: >=3.10
Keywords: ai, behavioral, persona, playwright, qa, testing, vision

# GhostQA

**AI ghosts walk your app so real users don't trip.**

GhostQA sends AI personas through your web app via vision models — they navigate like real humans, find UX bugs your test scripts miss, and generate evidence reports.

## Quick Start

```bash
pip install ghostqa
ghostqa install        # Download browser
ghostqa init           # Scaffold project
ghostqa run --product demo  # Run your first test
```

## Features

- **Persona-based testing** — AI users with different skill levels, patience, and goals
- **Vision-powered** — Interprets screenshots like a human, catches visual/layout UX issues
- **YAML-configured** — No test scripts to maintain, PM-readable scenarios
- **Cost-aware** — Per-run budget enforcement, transparent API cost tracking
- **CI-ready** — JUnit XML output, exit codes, headless mode
- **Open source** — MIT license, no telemetry, no data collection

## License

MIT