semvec/pypi-packages huggingface dataset:
styrene 0.6.0
Styrene mesh networking suite — daemon, TUI, and tools for Reticulum networks
Requires Python: >=3.11
Keywords: reticulum, mesh, lora, lxmf, fleet

# styrene

Meta-package for the Styrene mesh networking suite. Installs the full user-facing stack for [Reticulum](https://reticulum.network/) mesh networks.

## Install

```bash
pip install styrene           # full stack: daemon + TUI
pip install styrene[web]      # + FastAPI/Uvicorn HTTP API
pip install styrene[metrics]  # + Prometheus metrics
pip install styrene[yubikey]  # + YubiKey identity support
```

## What's Included

| Package | PyPI | Description |
|---------|------|-------------|
| [styrened](https://github.com/styrene-lab/styrened) | `pip install styrened` | Headless daemon and shared library — RPC server, device discovery, auto-reply |
| [styrene-tui](https://github.com/styrene-lab/styrene-tui) | `pip install styrene-tui` | Terminal UI client for mesh management (Imperial CRT aesthetic) |

## CLI Commands

After installing, two commands are available:

```bash
styrened   # Start the headless daemon
styrene    # Launch the terminal UI
```

## Individual Installation

Each component can be installed independently:

```bash
pip install styrened          # daemon/library only
pip install styrene-tui       # TUI + styrened (as dependency)
```

## License

MIT
data-designer-engine 0.5.1
Generation engine for DataDesigner synthetic data generation
Requires Python: >=3.10

# data-designer-engine

Generation engine for NeMo Data Designer synthetic data generation framework.

This package contains the execution engine that powers Data Designer. It depends on `data-designer-config` and includes heavy dependencies like pandas, numpy, and LLM integration via litellm.

## Installation

```bash
pip install data-designer-engine
```

This automatically installs `data-designer-config` as a dependency.

See main [README.md](https://github.com/NVIDIA-NeMo/DataDesigner/blob/main/README.md) for more information.
data-designer-config 0.5.1
Configuration layer for DataDesigner synthetic data generation
Requires Python: >=3.10

# data-designer-config

Configuration layer for NeMo Data Designer synthetic data generation framework.

This package provides the configuration API for defining synthetic data generation pipelines. It's a lightweight dependency that can be used standalone for configuration management.

## Installation

```bash
pip install data-designer-config
```

## Usage

```python
import data_designer.config as dd

# Initialize config builder with model config(s)
config_builder = dd.DataDesignerConfigBuilder(
    model_configs=[
        dd.ModelConfig(
            alias="my-model",
            model="nvidia/nemotron-3-nano-30b-a3b",
            inference_parameters=dd.ChatCompletionInferenceParams(temperature=0.7),
        ),
    ]
)

# Add columns
config_builder.add_column(
    dd.SamplerColumnConfig(
        name="user_id",
        sampler_type=dd.SamplerType.UUID,
        params=dd.UUIDSamplerParams(prefix="user-"),
    )
)
config_builder.add_column(
    dd.LLMTextColumnConfig(
        name="description",
        prompt="Write a product description",
        model_alias="my-model",
    )
)

# Build configuration
config = config_builder.build()
```

See main [README.md](https://github.com/NVIDIA-NeMo/DataDesigner/blob/main/README.md) for more information.