semvec/pypi-packages huggingface dataset:
pypi-smartgit 1.5.1
SmartGit - Intelligent Git automation with minimal commands
Requires Python: >=3.8

# SmartGit - Python Edition

**Version**: 1.0.0  
**Status**: ✅ Production Ready

SmartGit is an intelligent Git automation tool that simplifies complex Git workflows into minimal, intuitive commands.

## Installation

```bash
pip install smartgit
```

## Quick Start

```bash
# Complete workflow
smartgit all

# Create repository
smartgit repo my-project

# Ignore files
smartgit ignore *.log *.tmp

# Create version
smartgit version my-project v1.0.0

# Get help
smartgit help
```

## Features

✅ One-command deployment (`smartgit all`)  
✅ Auto-detects project name  
✅ Auto-versions from .env/.json  
✅ Deploys to GitHub Pages  
✅ GitLab ready  
✅ Minimal output  

## Commands

```bash
smartgit all [-no-version] [-no-deploy]
smartgit repo <name>
smartgit ignore <files>
smartgit include <files>
smartgit version <project> <version> [files]
smartgit addfile <project> <version> <files>
smartgit lab [project]
smartgit shortcut <name> <command>
smartgit help
```

## Usage Examples

### Deploy Everything

```bash
cd my-project
smartgit all
```

### Deploy Without Versioning

```bash
smartgit all -no-version
```

### Deploy Without Deployment

```bash
smartgit all -no-deploy
```

## Documentation

- Full Guide: `SMARTGIT-CREATED.md`
- Installation: `SMARTGIT-INSTALLATION.md`
- Quick Start: `SMARTGIT-QUICKSTART.md`

## License

MIT

---

**SmartGit: Making Git simple again.**



## System Requirements

This package requires the following system tools to be installed:

- **Git**: Version 2.0 or higher
  - Windows: https://git-scm.com/download/win
  - macOS: `brew install git`
  - Linux: `apt-get install git` or `yum install git`

- **GitHub CLI (gh)**: Version 2.0 or higher
  - Windows: `choco install gh` or download from https://cli.github.com
  - macOS: `brew install gh`
  - Linux: https://cli.github.com/manual/installation

After installation, authenticate with GitHub:
```bash
gh auth login
```
konachan-downloader 0.0.10
A professional, multi-threaded downloader for konachan.net
Requires Python: >=3.8

# Konachan Downloader

![License](https://img.shields.io/badge/license-MIT-blue.svg)
[![PyPI](https://img.shields.io/pypi/v/konachan-downloader)](https://pypi.org/project/konachan-downloader/)
[![Homebrew](https://img.shields.io/badge/homebrew-tap-orange)](https://github.com/smallyunet/homebrew-tap)
![Python](https://img.shields.io/badge/python-3.8%2B-blue)

![Screenshot](docs/screenshot.png)

A high-performance CLI tool designed for efficiently downloading images from **konachan.net**. It features a smart update system, resumable downloads, and multi-threading support.

## ✨ Key Features

- **🔄 Smart Update & Resume**: The ultimate workflow. It checks page 1-5 for new uploads. If no new images are found, it **automatically jumps** to your last saved "deep" progress (e.g., Page 400) and continues archiving.
- **⚡ High Performance**: Multi-threaded downloader utilizes full bandwidth.
- **⏯️ Resumable**: Skips existing files and remembers your last position.
- **🛡️ Secure**: Defaults to Safe Mode. Unsafe Mode supports Cloudflare bypass logic.
- **🔍 Robust**: Built-in retries for network stability.

## 🚀 Quick Usage

### The "Best Practice" Way
Use **Smart Mode** for everything. It handles both **checking for updates** and **resuming deep downloads**.
1. Scans recent pages for new content.
2. If fully caught up, it **auto-jumps** to your history (e.g., Page 400) to fill old gaps.

```bash
konachan-dl --tags "hatsune_miku" --smart
```

### Other Commands

**Download Everything (First Run)**
```bash
# Resume automatically from where you left off
konachan-dl --tags "hatsune_miku"
```

**Unsafe Mode (NSFW)**
```bash
# Switches to konachan.com
konachan-dl --tags "scenery" --unsafe
```

**Custom Range**
```bash
konachan-dl --tags "vocaloid" --start 1 --end 10
```

## ⚙️ Installation

### Homebrew (Recommended for macOS)
```bash
brew tap smallyunet/tap
brew install konachan-downloader
```

### PyPI
```bash
pip install konachan-downloader
```

### From Source (Developers)
```bash
git clone https://github.com/smallyunet/konachan-downloader.git
cd konachan-downloader
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
```

## 📊 Statistics

| Metric | Value |
| :--- | :--- |
| **Total Images** | `22089` |
| **Total Data** | `142.09 GB` |
| **Total Time** | `06:13:19` |
| **Current Disk** | `143.29 GB` |
mediafiredlpy 0.1.2
A simple Python module to extract Mediafire download links
Requires Python: >=3.6

# mediafiredlpy

A simple python module to extract **MediaFire direct download link** and **file size**.detalls Give You This Module

## ✨ Features
- Get direct download URL
- Get file size
- Easy to use
- fast usage

## 🛠️ Usage 
```python
from mediafiredlpy import mf

url = "https://www.mediafire.com/file/2i79lqfyntphq4m/BAT.apk/file"

result = mf(url)

print(result +'\n\n')
print(result['data']['download'])

#or  import 

import mediafiredlpy

url = "https://www.mediafire.com/file/2i79lqfyntphq4m/BAT.apk/file"

result =mediafiredlpy.mf(url)

print(result+'\n\n')
print(result['data']['download'])

```
----
## Sample result:-
```ts
{                                                     status: 'true',
  data: {
    download: 'https://download2284.mediafire.com/nkvs7ouadgkgMBXBx1yovQ6yqL-kWX4OigWbpn38a8edX-vyIpb7qjbwXHwlvhdimTwM2OBgMJKXZ0tCj0PHa8ZZCzx3tS806yRxwy0i4gZaxe8ex5lu77D4_gYxJVewt0-rg9NlaHia6eivA88wI490_GpPnwp6WDmLkPZCuhYKXQE/2i79lqfyntphq4m/BAT.apk',
    fileSize: '5.76MB',
    uploadInfo: 'This file was uploaded from Sri Lanka on August 10, 2025 at 10:22 PM',
    'date': 'August 10, 2025'
  }
}
```
## 📦 Installation

```bash
pip install mediafiredlpy
```
iam-client 0.1.7
IAM client for services
Requires Python: >=3.10

# iam-client

A lightweight, production-ready **IAM client SDK** for backend services.

This package allows backend services to securely communicate with the
Identity and Access Management (IAM) system using **service credentials**.

---

## ✨ Features

- Service-to-service authentication
- Automatic service token retrieval
- Token introspection
- Fetch user details by user ID
- Clean, minimal Python API
- Designed for FastAPI backends

---

## 📦 Installation

### Install directly from GitHub

```bash
pip install git+https://github.com/YOUR_ORG/iam-client.git
```


### Install directly from GitHub

```bash
pip install git+https://github.com/YOUR_ORG/iam-client.git@v0.1.0
```


## ✨ Configuration
Set the following environment variables in the consuming backend service:
```
IAM_BASE_URL=https://iam.xyz.com
TENANT_SLUG=xyz
IAM_CLIENT_ID=xyz-backend
IAM_CLIENT_SECRET=super-secret
```

## ✨ Usage
### Create IAM client (once per service)
```
from iam_client.client import IAMClient

iam = IAMClient(
    base_url="https://iam.xyz.com",
    tenant_slug="xyz",
    client_id="xyz-backend",
    client_secret="super-secret",
)
```
pypearl 0.7.10
An efficient Machine Learning Library
Requires Python: >=3.7

PyPearl is currently in development. PyPearl can most basic neural network use cases, and is somewhat well optimized for small models. In extremely small cases it out performs PyTorch due to it's nature as a thinner wrapper (exactly 2 lines of Python and 7300+ lines of CPP) compared to PyTorch's 60% Python.
Here's the source code: https://github.com/Brody234/pypearl
This description was last edited October 7 2025.
drop-email 0.1.3
A package to send data (dict, list, pandas DataFrame) as beautiful HTML emails
Requires Python: >=3.7

# Drop Email as DE 🍻

<p align="center">
  <img src="doc/example.png" alt="example email" width="600"/>
</p>

A Python package to send data (dictionaries, lists, pandas DataFrames) as beautiful HTML emails 🍻.

## Features

- 📧 Send data as beautiful HTML emails
- 📊 Beautiful pandas DataFrame rendering
- ⚙️ Configurable sender and receiver emails
- 🎨 Modern, responsive HTML templates

## Installation

```bash
pip install drop_email
```

Or install in development mode:

```bash
git clone <repository>
cd drop_email
pip install -e .
```

### Post-Installation: Initialize Configuration

Before using drop_email, you need to initialize the configuration file:

```bash
drop_email init
```

This creates a default configuration file. Then edit it with your email settings.

**Other CLI commands:**

```bash
# View configuration file path
drop_email config

# Show help
drop_email --help
```

## Quick Start

- hello world
```
drop_email "hello world!"
```

- python script
```python
import drop_email as de
import pandas as pd

# Create a sample DataFrame
df = pd.DataFrame({
    'Name': ['Alice', 'Bob', 'Charlie'],
    'Age': [25, 30, 35],
    'City': ['New York', 'London', 'Tokyo']
})

# Send the DataFrame as an email
de.send(df, subject="My Data Report")
```

## Configuration

### Configuration File Location

The package uses the following priority to locate the configuration file:

1. **Environment variable `DROP_EMAIL_CONFIG`** (recommended for stability)
   - Set to an absolute path for a fixed location that doesn't depend on home directory
   - Example: `export DROP_EMAIL_CONFIG="/path/to/drop_email/config.yaml"`

2. **XDG Standard location** (default)
   - `$XDG_CONFIG_HOME/drop_email/config.yaml` (if XDG_CONFIG_HOME is set)
   - `~/.config/drop_email/config.yaml` (fallback)

### Initial Setup

After installation, initialize the configuration file:

```bash
drop_email init
```

This creates the configuration file at the default location `~/.config/drop_email/config.yaml`. Then edit this file to configure:

- **Sender email**: Your email address and password (use App Password for Gmail)
- **SMTP settings**: SMTP server and port
- **Receiver emails**: List of recipient email addresses

### Use Environment Variable for Fixed Path

For maximum stability (especially if your home directory may change), set an environment variable:

```bash
# Linux/Mac
export DROP_EMAIL_CONFIG="/PATH_TO_YOUR/config.yaml"

# Windows (PowerShell)
$env:DROP_EMAIL_CONFIG="C:\path\to\drop_email\config.yaml"
```

Add this to your shell profile (`.bashrc`, `.zshrc`, etc.) to make it persistent.

### Example Configuration

```yaml
email:
  sender:
    address: "your_email@example.com"
    password: "your_app_password"
    smtp_server: "smtp.gmail.com"
    smtp_port: 587
  receivers:
    - "receiver1@example.com"
    - "receiver2@example.com"
```

### View Configuration Path

To see where your configuration file is located:

```bash
drop_email config
```

## License

MIT
iflow-mcp_flothjl_edgar-sec-mcp 0.1.0
Add your description here
Requires Python: >=3.13

# edgar-sec-mcp

**edgar-sec-mcp** is an MCP (Modular Computing Platform) server designed
to facilitate AI agents in accessing and interacting with EDGAR Data
from the SEC. This project provides tools, endpoints, and data
processing utilities to streamline the retrieval and analysis of SEC filings,
such as proxy statements which hold information about executive compensation,
or form 4 to understand inside selling.

## Tools

- **GetProxyStatementTablesByTicker**
- **GetForm4ByTicker**

## Configuration

### [Goose](https://github.com/block/goose)

```yaml
extensions:
  edgar-sec-mcp:
    args:
    - --from
    - git+https://github.com/flothjl/edgar-sec-mcp@main
    - edgar-sec-mcp
    cmd: uvx
    enabled: true
    envs: {}
    name: edgar-sec 
    type: stdio
GOOSE_MODEL: gpt-4o-mini
GOOSE_PROVIDER: openai
```
hera-cli-utils 0.2.2
HERA CLI Utils
Requires Python: >=3.9

# HERA CLI Utils

[![PyPI](https://img.shields.io/pypi/v/hera-cli-utils.svg)][pypi status]
[![Status](https://img.shields.io/pypi/status/hera-cli-utils.svg)][pypi status]
[![Python Version](https://img.shields.io/pypi/pyversions/hera-cli-utils)][pypi status]
[![License](https://img.shields.io/pypi/l/hera-cli-utils)][license]

[![Read the documentation at https://hera-cli-utils.readthedocs.io/](https://img.shields.io/readthedocs/hera-cli-utils/latest.svg?label=Read%20the%20Docs)][read the docs]
[![Tests](https://github.com/steven-murray/hera-cli-utils/workflows/Tests/badge.svg)][tests]
[![Codecov](https://codecov.io/gh/steven-murray/hera-cli-utils/branch/main/graph/badge.svg)][codecov]

[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)][pre-commit]
[![Black](https://img.shields.io/badge/code%20style-black-000000.svg)][black]

[pypi status]: https://pypi.org/project/hera-cli-utils/
[read the docs]: https://hera-cli-utils.readthedocs.io/
[tests]: https://github.com/steven-murray/hera-cli-utils/actions?workflow=Tests
[codecov]: https://app.codecov.io/gh/steven-murray/hera-cli-utils
[pre-commit]: https://github.com/pre-commit/pre-commit
[black]: https://github.com/psf/black

## Features

- TODO

## Requirements

- TODO

## Installation

You can install _HERA CLI Utils_ via [pip] from [PyPI]:

```console
$ pip install hera-cli-utils
```

## Usage

Please see the [Command-line Reference] for details.

## Contributing

Contributions are very welcome.
To learn more, see the [Contributor Guide].

## License

Distributed under the terms of the [MIT license][license],
_HERA CLI Utils_ is free and open source software.

## Issues

If you encounter any problems,
please [file an issue] along with a detailed description.

## Credits

This project was generated from [@cjolowicz]'s [Hypermodern Python Cookiecutter] template.

[@cjolowicz]: https://github.com/cjolowicz
[pypi]: https://pypi.org/
[hypermodern python cookiecutter]: https://github.com/cjolowicz/cookiecutter-hypermodern-python
[file an issue]: https://github.com/steven-murray/hera-cli-utils/issues
[pip]: https://pip.pypa.io/

<!-- github-only -->

[license]: https://github.com/steven-murray/hera-cli-utils/blob/main/LICENSE
[contributor guide]: https://github.com/steven-murray/hera-cli-utils/blob/main/CONTRIBUTING.md
[command-line reference]: https://hera-cli-utils.readthedocs.io/en/latest/usage.html
pypi-errlog-smartgit 1.5.0
errlog-smartgit - SmartGit Error Handler with detailed feedback
Requires Python: >=3.8

# errlog-smartgit - Python Edition

**Version**: 1.0.0  
**Status**: ✅ Production Ready

errlog-smartgit is the error handler companion to SmartGit. It provides detailed error feedback, step-by-step process view, and colored output for debugging.

## Installation

```bash
pip install errlog-smartgit
```

This automatically installs SmartGit as a dependency.

## Quick Start

```bash
# Complete workflow with detailed feedback
smartgit-err all

# Create repository with details
smartgit-err repo my-project

# Get help
smartgit-err help
```

## Features

✅ Step-by-step process view  
✅ Detailed error messages  
✅ Colored output  
✅ Timing information  
✅ Progress tracking  

## Commands

```bash
smartgit-err all [-no-version] [-no-deploy]
smartgit-err repo <name>
smartgit-err ignore <files>
smartgit-err include <files>
smartgit-err version <project> <version> [files]
smartgit-err addfile <project> <version> <files>
smartgit-err lab [project]
smartgit-err shortcut <name> <command>
smartgit-err help
```

## Usage Examples

### Deploy with Detailed Feedback

```bash
cd my-project
smartgit-err all
```

**Output**:
```
▶ smartgit all
Total steps: 10
[1/10] Executing step 1/10
[2/10] Executing step 2/10
...
✓ Success
Completed in 2345ms
```

### When to Use

- **smartgit**: Production, automation, CI/CD
- **smartgit-err**: Development, debugging, learning

## License

MIT

---

**errlog-smartgit: Making debugging simple.**



## System Requirements

This package requires the following system tools to be installed:

- **Git**: Version 2.0 or higher
  - Windows: https://git-scm.com/download/win
  - macOS: `brew install git`
  - Linux: `apt-get install git` or `yum install git`

- **GitHub CLI (gh)**: Version 2.0 or higher
  - Windows: `choco install gh` or download from https://cli.github.com
  - macOS: `brew install gh`
  - Linux: https://cli.github.com/manual/installation

After installation, authenticate with GitHub:
```bash
gh auth login
```