semvec/pypi-packages huggingface dataset:
youtubeRenderer 0.0.1
A small python package
License: MIT
Requires Python: >=3.8

# Youtube-Renderer-Pypi-Package 

This repository contains the source code and documentation for the Youtube Renderer Python package,which is available on Pypi. The YouTube Renderer is a powerful tool for rendering any youtube videos and any web page over the Jupyter/Colab Notebook.

# How to run? 

1. Create a virtual environment 
   ```bash
   conda create -n renderer python=3.11 -y 
   ``` 

2. Activate the virtual environment 
   ```bash 
   conda activate renderer 
   ``` 

3. Install the required package 
   ```bash 
   pip install -r requirement_dev.txt
   ```
ll-la 0.54.0
Python API for LivingApps
License: MIT
Requires Python: >=3.14
Keywords: LivingApps

``ll.la`` provides a Python API for the LivingApps system
(see http://www.living-apps.de/ or http://www.living-apps.com/ for more info).

``ll.la`` allows you to fetch the configured data sources from a template,
create new records, and update and delete existing records all from your Python
prompt (or script).

For more info about LivingApps and this Python SDK, see
https://my.living-apps.de/docs/PythonSDK.html (in german).


0.54.0 (2026-01-14)
-------------------

* Update internal version number of the LivingAPI to 138.

* Added the ``Control`` attributes ``in_structured_search``, ``in_fulltext_search``
  and ``in_expert_search``.
PFASProphet 0.1.0
ML-based PFAS prediction from mass spectrometry data
License: MIT
Requires Python: <3.13,>=3.12

# PFASProphet

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.12+](https://img.shields.io/badge/python-3.12+-blue.svg)](https://www.python.org/downloads/)

A tool for giving a score on the likelihood of PFAS (Per- and Polyfluoroalkyl Substances) from mass spectrometry data using machine learning.

## Features
- Obtain a PFAS scores from precursor masses and fragment ions.
- Support for CSV files or direct list inputs.
- can be run from python directly or Command-line interface (CLI).
- Handles ionised vs. neutral masses (negative ESI mode).
- See examples for usage.

## Installation
1. Clone the repository: `git clone https://github.com/yourusername/PFASProphet.git`
2. Navigate to the directory: `cd PFASProphet`
3. Create a virtual environment: `python -m venv .venv`
4. Activate it: `.venv\Scripts\activate` (Windows) or `source .venv/bin/activate` (Linux/Mac)
5. Install: `pip install -e .`

## Usage
### CLI Examples
- **Predict from lists**: `pfasprophet --mass "[248.9461]" --fragments "[[63.9624]]"`
- **Predict from CSV**: `pfasprophet --file data.csv`
- **Help**: `pfasprophet` or `pfasprophet --help`

### Python API
```python
from PFASProphet import PFASProphet

prophet = PFASProphet()
result = prophet.predict(mass=[248.9461], fragments=[[63.9624]])
print(result)
poor_yclientsapi 0.1.22
Poor collection of API methods for Yclients app
License: MIT
Requires Python: <4.0,>=3.12

# Poor YclientsAPI

[![codecov](https://codecov.io/gh/mkosinov/yclientsAPI/branch/main/graph/badge.svg)](https://codecov.io/gh/mkosinov/yclientsAPI)

Small set of methods for working with Yclients API. Non official.

## Installation

```bash
pip install poor_yclientsapi
```

## Usage

```python
>>> from yclientsapi import YclientsAPI
>>> with YclientsAPI(COMPANY_ID, PARTNER_TOKEN, USER_TOKEN) as api:
>>>     services = api.service.list(staff_id=MY_STAFF_ID)
```

COMPAMY_ID - client company id from YCLIENTS
PARTNER_TOKEN - general developer token from YCLIENTS
USER_TOKEN - authorization token for client data access in YCLIENTS (Optional)

If you don't have USER_TOKEN, you can call auth.authenticate(USER_LOGIN, USER_PASSWORD) later to retrive and save USER_TOKEN for futher requests

## Tests

Integration tests are located in `/src/yclientsapi/tests/integration/`. See `/src/yclientsapi/tests/README.md` for details on running tests and setup. CRUD operations for service categories are covered by integration tests and use fixtures for setup/cleanup.

## More info

* <https://yclients.com/appstore/developers>
* <https://developers.yclients.com/>