semvec/pypi-packages huggingface dataset:
dkinst 0.38.4
Den K Simple Installer
Requires Python: >=3.12

<h1 align="center">Den K Simple Installer - dkinst</h1>



<!-- ABOUT THE PROJECT -->
## About The Project


dkinst is a simple installer mostly for my professional needs, in case I need a one-click installer for a library or a tool.
So, I will not search for a setup script/line or write one.
It is written in Python, currently tested on 3.13.


<!-- AVAILABLE INSTALLERS -->
## Available Installers

You can check the 'installers' folder for the available installers.
Or execute in CMD:
```cmd
dkinst available
```


<!-- GETTING STARTED -->
## Getting Started

To get a local copy up and running follow these simple steps.

### Installation Windows

1. Install Python 3.13 or use the silent installer that will download and install it for you.<br>
    1.1. Download the file: /prereqs/install_python_as_admin_win.cmd<br>
    1.2. Run CMD as admin.<br>
    1.3. In CMD run the script with '3.13' argument (it will install the latest micro version of 3.13):
    ```cmd
   install_python_as_admin.cmd 3.13
   ```
   <br>
2. Install the library using pip:
   ```cmd
   pip install dkinst
   ```
   <br>
3. Adding auto-completion in PowerShell shell (optional):
   ```cmd
   dkinst prereqs
   ```
   This will not work in CMD shell.
   The auto-completion lets you use TAB key to complete installer names and methods.
   Examples:
   ```cmd
    dkinst install PyC<TAB>
    dkinst in<TAB>
   ```
   The first example will complete to 'dkinst install PyCharm' and the second to 'dkinst install'.
   <br>
   
### Installation Linux
   
Ubuntu 24 already comes with python 3.12. This file will install dkinst globally using pipx.<br>
1. Download the file: /prereqs/install_dkinst_pipx_debian.sh<br>
2. Make the file executable:<br>
    ```sh
    chmod +x install_dkinst_pipx_debian.sh
    ```
3. Run the script (runs 'dkinst prereqs' in the end) to install dkinst globally with pipx:
    ```sh
    ./install_dkinst_pipx_debian.sh
    ```
   
### Uninstall Auto-completion
To uninstall the auto-completion from Linux terminals or Windows PowerShell shell (if installed) run:
   ```cmd
    dkinst prereqs-uninstall
   ```

<!-- USAGE EXAMPLES -->
## Usage

Execute in CMD:
```cmd
dkinst
dkinst help
```
For full help and examples about installation commands.



<!-- LICENSE -->
## License

Distributed under the MIT License. See `LICENSE.txt` for more information.



<!-- HISTORY -->
## History

[History.md](https://github.com/BugSec-Official/atomicshop/blob/main/History.md#history)
sphinx_biel 0.1.10
ASK AI chatbot for Sphinx.

AI chatbot extension for Sphinx
===============================

Ask AI chatbot plugin for Sphinx sites, powered by `Biel.ai <https://biel.ai>`_.

.. image:: https://biel.ai/_next/image?url=%2F_next%2Fstatic%2Fmedia%2Fcarousel-02.d9a9a331.png&w=1200&q=75
   :alt: AI chatbot Sphinx

Add an AI chatbot to your Sphinx documentation using Biel.ai's extension. The integration works with any Sphinx theme, including Read the Docs, and adds both chat and search capabilities.

**Note:** A Biel.ai plan is required to use this plugin. Try it free for 14 days—no credit card required.

Key features
------------

- AI chatbot that provides instant responses to documentation queries.  
- AI search engine for quick and relevant information retrieval.  
- Integration with Sphinx.  
- Customizable to match your site's branding and user needs.  

Get started
-----------

See the `Sphinx AI chatbot integration guide <https://docs.biel.ai/installation/sphinx>`_ for installation and setup instructions.

Support
-------

Need assistance? `Contact us <https://docs.biel.ai/support>`_ for help.

License
-------

Copyright (c) 2024 Biel.ai

Licensed under the `MIT License <LICENSE>`_.
pargs-sfe 0.1.2
A small argument parser for dedicated environments with support for env and file based arguments
Requires Python: >=3.13

# Pargs

> [!WARNING]
> This is not yet production ready, please wait for the 1.0.0 release

A small python extensible argument system.

## Supported sources

Native supported sources are command arguments, file (json and toml) and
environment variables.
You can glue them together with the `MultiParser` and give them priorities,
to control which arguments may overwrite each other.

## Syntax

Simple example:

```python
from pargs import configure

@dataclass
class Config:
    url: str
    secret: str
    use_tls: bool = True
    log_level: int = 2
...
def main():
    config = configure(Config)
```

## Comparison

Compared to the `argparse` module provided in the standard library,
this provides much fewer features.
This allows for a very small runtime-footprint (>10x faster).
nanometry 0.1.0
Open-source monitoring dashboard for Nanobot AI agents
Requires Python: >=3.10
Keywords: ai-agent, dashboard, monitoring, nanobot, observability

# 🔬 Nanometry

**Open-source monitoring dashboard for [Nanobot](https://github.com/HKUDS/nanobot) AI agents.**

Nanometry gives you a real-time web dashboard to monitor your Nanobot instance — sessions, memory, cron jobs, token usage, and system health — all without modifying Nanobot itself.

![Dashboard Screenshot](docs/screenshot-placeholder.png)

## Features

- 📊 **Overview Dashboard** — Sessions, messages, channels, providers, tool usage at a glance
- 💬 **Session Viewer** — Browse conversation history across all channels
- 🧠 **Memory Inspector** — View MEMORY.md (long-term) and HISTORY.md (searchable log)
- ⏰ **Cron Jobs Monitor** — See scheduled tasks, their status, and next run times
- ⚙️ **Config Viewer** — Parsed config.json with secrets automatically redacted
- 🖥️ **System Health** — Workspace stats, storage usage, environment info
- 🌑 **Dark Theme** — Clean, modern UI

## Installation

```bash
pip install nanometry
```

## Quick Start

```bash
# Start the dashboard (reads from ~/.nanobot by default)
nanometry

# Custom nanobot directory
nanometry --nanobot-dir /path/to/.nanobot

# Custom host/port
nanometry --host 0.0.0.0 --port 8080
```

Then open **http://localhost:9820** in your browser.

## How It Works

Nanometry is **read-only** — it never modifies your Nanobot data. It reads:

| Data | Location | What it shows |
|------|----------|---------------|
| Config | `~/.nanobot/config.json` | Channels, providers, agent settings |
| Sessions | `~/.nanobot/sessions/*.jsonl` | Conversation history, tool usage |
| Memory | `workspace/memory/MEMORY.md` | Long-term agent memory |
| History | `workspace/memory/HISTORY.md` | Consolidated conversation history |
| Cron | `~/.nanobot/cron.json` | Scheduled jobs and their state |

## Requirements

- Python 3.10+
- A running (or previously run) Nanobot instance
- Flask (installed automatically)

## Development

```bash
git clone https://github.com/niceparadox/nanometry.git
cd nanometry
pip install -e .
nanometry --debug
```

## License

MIT — see [LICENSE](LICENSE).

---

Built with 🐈 for the Nanobot community.