semvec/pypi-packages huggingface dataset:
homeai-sageattention 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# homeai-sageattention

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
proteomicscopylot 0.1.1
ProteomicsCoPYlot project
License: MIT
Requires Python: >=3.9

---
title: Proteomics CoPYlot
sdk: docker
app_port: 7860
---

# Proteomics CoPYlot (Python Version)

Proteomics CoPYlot is a **Python-based tool for proteomics data analysis and visualization**, designed to simplify common workflows and provide interactive plots and light statistics for your experimental results. It can be run **locally** as a Python script, executable or accessed via the **web** at [proteomics-data.com](https://proteomics-data.com).

---

## Features

- Upload and analyze **Spectronaut, DIA-NN, or MaxQuant output files**  
- Generate **quality control (QC) plots**: coverage, missing values, intensity distribution, and more  
- **Interactive visualizations** with adjustable plot size, resolution, and hover-names
- Export **presentation-ready figures** directly from the interface  
- Simple **statistical summaries** for quick assessment of datasets  

---

## Installation

```bash
# Clone the repository
git clone https://github.com/JonasMarx3007/ProteomisCoPYlot.git

# Navigate to the project folder
cd ProteomisCoPYlot

# Install dependencies
pip install -r requirements.txt
```

--- 

## Example Workflow

1. Upload your proteomics dataset (TSV or compatible format)  
2. Explore proteins and phosphosites interactively in the **Streamlit interface**  
3. Generate **quality control plots** with customizable details  
4. Export figures for reports or presentations

---

## Dependencies

Python ≥ 3.8  

Required Python packages:

- streamlit  
- matplotlib  
- pandas  
- numpy  
- scikit-learn  
- statsmodels  
- plotly  
- gprofiler-official  
- biopython
- matplotlib-venn
- seaborn

Install via pip:

```bash
pip install streamlit matplotlib pandas numpy scikit-learn statsmodels plotly gprofiler-official biopython matplotlib-venn seaborn
```

---

## Usage
Run the locally using Streamlit:
```bash
streamlit run app.py
```
Open http://localhost:8501 in your browser to interact with the application. Or alternatively run the run_app.py.

---

## License
This project is licensed under the **MIT License** — see the LICENSE file for details.
homeai-aitrace 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# homeai-aitrace

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
holo-admin-sdk 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# holo-admin-sdk

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
hm-mtc-tools 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# hm-mtc-tools

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
health-assistant-zhiwen 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# health-assistant-zhiwen

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
hb-py-processor 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# hb-py-processor

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
harmony-uiautomator 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# harmony-uiautomator

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.
harmony-page-snapshot-compare 0.0.1
Defensive package registration.
License: MIT
Requires Python: >=3.6

# harmony-page-snapshot-compare

**NOTICE: Defensive Package Registration**

To provide internal services and prevent new enterprise users from accidentally installing the wrong package, this package is treated as a placeholder package and a friendly reminder is given during installation.

## Contact

For inquiries about this package, please contact the insiders.