semvec/pypi-packages huggingface dataset:
vamb-abundance-profile 0.0.3
A very simple package to convert the output of VAMB to an abundance table
Requires Python: >=3.9

# VAMB abundance profile

This is a small package to create an abundance profile from a VAMB output. 

We assume that you have already run VAMB and have the output files, and we read
the abundance.npz file and composition.npz files to create a table with the 
abundance of each contig in each sample.

We append the cluster information from `vae_clusters.tsv` to the table.

Next, we use the first dimnension of a PCA to reduce the dimensionality of the
data so that we end up with a single abundance profile for each cluster.

You can write the final abundance profile to a file using the _required_ `--cluster` option, and
you can also write the intermediate table to a file using the _optional_ `--abundance` option.

## Installation

You can install the package using pip:

```bash
pip install vamb-abundance-profile
```

## Usage

Note that by default the `vamb` directory is in the output directory you specified when running VAMB. 
That directory should contain the `abundance.npz`, `composition.npz`, and `vae_clusters.tsv` files.


```bash
vamb_abundance_profile --vamb vamb/vamb/ --cluster vamb/clusters.tsv.gz -v
```

## Output

The output is a tab-separated file with the abundance profile of each cluster in each sample.

Note that by default we use `gzip` compression. If your file names do not end `.gz`, we add that for you!
If you don't want compression, then uncompress the file after running the script.
chitragupt 0.3
ChitraGupt: A powerful OSINT framework with a plugin-based architecture.
Requires Python: >=3.7

# <h1 align="center">ChitraGupt</h1>

## A Powerful OSINT & Data Analysis Toolkit

ChitraGupt is a unique project designed to empower users with advanced data scraping, analysis, and visualization tools. Built from the ground up with the OSINT (Open-Source Intelligence) community in mind, ChitraGupt brings powerful functionality in a beginner-friendly package.

---

### ⚙️ Features

- **Custom Interaction System**  
  Similar to Metasploit's interaction system, enabling intuitive and effective operation.

- **Submodule Creation**  
  Easily create your own submodule with scrapers and data analysis tools. Host them on a public garden for the community.

- **Decorator-Based Functions**  
  Absorbs decorators to create custom functions for enhanced flexibility and efficiency.

- **Custom Argparse Implementation**  
  A fresh implementation of argparse, tailored for simplicity and flexibility when parsing command-line arguments.

- **High-Performance Requests Handling**  
  No need for external libraries like `requests` or `httpx`. ChitraGupt includes its own high-speed library with added features like impersonation and fingerprinting for secure and efficient requests.

- **Data Validation & Encryption**  
  Uses the fastest alternative to JSON for data validation, encryption, and decryption.

- **Automated Node Graphs**  
  Automatically generates node graphs from extracted project data, perfect for enhanced data visualization.

- **Crawling & Spidering**  
  Currently focused on building a crawler for social media-specific spiders, allowing for targeted data collection.

- **Beginner-Friendly**  
  Designed with newcomers in mind, this toolkit is easy to set up and use, while still offering powerful capabilities for seasoned developers.

---

### 🚀 Usage

Once the toolkit is installed, you can start building your own submodules and interact with the system like so:

```bash
chitragupt --help
```

For more detailed documentation, check the [Wiki](https://github.com/yourusername/ChitraGupt/wiki).

---

### 🌍 Community & Contributions

ChitraGupt is an open-source project that thrives on community collaboration. Feel free to contribute by:

- Reporting bugs
- Suggesting new features
- Creating issues or pull requests

Join us in making ChitraGupt better for the entire community!

---

### 📜 About the Developer

ChitraGupt is the result of over **1.3 years of research and development** derived from the OSINT community. It is built by [Your Name], a developer passionate about data scraping, analysis, and security.

---

### 📝 License

This project is licensed under the MIT License - see the [LICENSE](LICENSE.md) file for details.
#