semvec/pypi-packages huggingface dataset:
litegraph 0.0.2
A Graph Node Engine
Requires Python: >=3.10
Keywords: Artificial Intelligence, Deep Learning

### Install
```shell
pip install litegraph
```

### Sponsor
<table align="center">
    <thead>
        <tr>
            <th colspan="2">公众号</th>
        </tr>
    </thead>
    <tbody align="center" valign="center">
        <tr>
            <td colspan="2"><img src="https://jiauzhang.github.io/ghstatic/images/ofa_m.png" style="height: 196px" alt="AliPay.png"></td>
        </tr>
    </tbody>
    <thead>
        <tr>
            <th>AliPay</th>
            <th>WeChatPay</th>
        </tr>
    </thead>
    <tbody align="center" valign="center">
        <tr>
            <td><img src="https://jiauzhang.github.io/AliPay.png" style="width: 196px; height: 196px" alt="AliPay.png"></td>
            <td><img src="https://jiauzhang.github.io/WeChatPay.png" style="width: 196px; height: 196px" alt="WeChatPay.png"></td>
        </tr>
    </tbody>
</table>
flet-gnav-bar 0.0.2
A Google Navigation Bar control for Flet based on Aurélien Salomon's design.
Requires Python: >=3.9

# FletGNavBar 🌟

<a href="https://github.com/pro-grammer-SD/flet_gnav_bar">
  <img src="https://forthebadge.com/images/featured/featured-built-with-love.svg" width="150">
</a>

<img src="preview.gif" width="300">

Custom **Google Navigation Bar (GNav) control** for Flet apps, built on Flutter's [`google_nav_bar`](https://pub.dev/packages/google_nav_bar) package.

[![PyPI Version](https://img.shields.io/pypi/v/flet_gnav_bar.svg)](https://pypi.org/project/flet_gnav_bar/)
[![Flutter Package](https://img.shields.io/pub/v/google_nav_bar.svg)](https://pub.dev/packages/google_nav_bar)
[![License](https://img.shields.io/github/license/pro-grammer-SD/flet_gnav_bar)](https://github.com/pro-grammer-SD/flet_gnav_bar/blob/main/LICENSE)
[![Build Status](https://img.shields.io/github/actions/workflow/status/pro-grammer-SD/flet_gnav_bar/python-package.yml)](https://github.com/pro-grammer-SD/flet_gnav_bar/actions)

---

## Features

- Fully compatible with **Flet**.
- Supports **tabs with icons, labels, and optional badges**.
- Customizable **colors, active/inactive states, ripple, and hover effects**.
- Works on **desktop, web, and mobile** targets.

---

## Installation

### Git dependency

Add to your `pyproject.toml`:

```toml
dependencies = [
  "flet_gnav_bar @ git+https://github.com/pro-grammer-SD/flet_gnav_bar",
  "flet>=0.28.3",
]
```

### PyPI dependency

If published on PyPI:

```toml
dependencies = [
  "flet_gnav_bar",
  "flet>=0.28.3",
]
```

Build your app:

```bash
flet build macos -v
```

---

## Example Usage

```python
import flet as ft
from flet_gnav_bar import FletGNavBar, FletGNavBarButton

def main(page: ft.Page):
    gnav = FletGNavBar(
        selected_index=0,
        tabs=[
            FletGNavBarButton(name="Home", icon_name="home", color="#2FB14F", badge="5"),
            FletGNavBarButton(name="Search", icon_name="search", color="#118DA3"),
            FletGNavBarButton(name="Profile", icon_name="user", color="#E6E21F", badge="!")
        ]
    )

    gnav.on_change = lambda _: print("Selected index:", gnav.selected_index)
    page.add(gnav)

ft.app(target=main)
```

---

## Documentation

Full documentation is available [here](https://pro-grammer-SD.github.io/flet_gnav_bar/).

---
sirius-opendaq 0.1.0
OpenDAQ-based Python wrapper for Dewesoft Sirius X measurement devices
Requires Python: >=3.8

# sirius-opendaq
OpenDAQ-based Python wrapper for Dewesoft Sirius X measurement devices. Provides simplified API for configuring amplifiers, setting sample rates, acquiring synchronized multi-channel data, and processing IEPE/voltage signals.

## Dependencies
- opendaq - Licensed under Apache-2.0
- numpy
example-package-TEST-ABI-SDK 0.1.0
Django REST Framework authentication middleware
Requires Python: >=3.6

# Introduction 
TODO: Give a short introduction of your project. Let this section explain the objectives or the motivation behind this project. 

# Getting Started
TODO: Guide users through getting your code up and running on their own system. In this section you can talk about:
1.	Installation process
2.	Software dependencies
3.	Latest releases
4.	API references

# Build and Test
TODO: Describe and show how to build your code and run the tests. 

# Contribute
TODO: Explain how other users and developers can contribute to make your code better. 

If you want to learn more about creating good readme files then refer the following [guidelines](https://docs.microsoft.com/en-us/azure/devops/repos/git/create-a-readme?view=azure-devops). You can also seek inspiration from the below readme files:
- [ASP.NET Core](https://github.com/aspnet/Home)
- [Visual Studio Code](https://github.com/Microsoft/vscode)
- [Chakra Core](https://github.com/Microsoft/ChakraCore)
f1-helper 0.1.0
CLI tool to check F1 driver and constructor championship scenarios
Requires Python: >=3.9
Keywords: F1, Formula 1, motorsport, CLI, championship, calculator

# F1 Championship Helper

A friendly **command-line tool** to help you track **Formula 1 driver and constructor championship standings** and see if they’re still in contention for the title.  

---

## Features

- Check if a **driver is still in the running** for the World Drivers’ Championship (WDC)  
- Detailed weekend-by-weekend analysis with realistic point scenarios  
- Check if a **constructor can still win** the World Constructors’ Championship (WCC)  
- Fetches **up-to-date F1 season schedules** using FastF1

---

## Installation

You can install directly from GitHub for development:  

```bash
pip install f1-helper
```
After installation, run the CLI globally:
```bash
f1-helper
```
---
## Usage
Once started, you’ll see a simple menu:
```plaintext
--- F1 Championship Helper ---
1. Check Driver WDC Contention (simple)
2. Check Driver WDC Detailed Scenario
3. Check Constructor WCC Contention
4. Exit
```
### Examples
- Simple driver check:
```plaintext
f1-helper
Enter option: 1
Enter Driver Name: Lewis Hamilton
```
- Detailed driver scenario:
```plaintext
f1-helper
Enter option: 2
Enter Driver Name: Max Verstappen
```
- Constructor check:
```plaintext
f1-helper
Enter option: 3
Enter Constructor Name: Ferrari
```
---
## Dependencies
- **fastf1** – for F1 data and race schedules
- **tabulate** – for pretty tables in the terminal
---
## License

MIT License © 2025 Saur Deshmukh.
siigo-connector 0.2.7
Python client for the Siigo API

# siigo_connector — Python client for the Siigo API

> [!WARNING]
> **Status:** Under development (alpha). Breaking changes may occur.

A small, typed client for [Siigo](https://api.siigo.com). It handles auth (JWT with `username` + `access_key` + `Partner-Id`), retries, and pagination so you can call Python methods instead of crafting HTTP requests.

> Requires Python 3.9+

## Install

Create and activate a virtual environment and then install FastAPI:

```bash
pip install siigo-connector
```

## Usage

Create the Client instance

```python
from src.siigo_connector import client as siigo

c = siigo.Client(
    username="siigoapi@pruebas.com",
    access_key="<access_token>",
    partner_id="myapp",  # short, no spaces
)
```

### Customers

```python
for cust in c.customers.list(created_start="2024-08-30"):
    print(cust)
```

Close the connection after at the end

```python
c.close()
```