semvec/pypi-packages huggingface dataset:
apisec 1.0
API Security Testing Tool
License: MIT
Keywords: apisec, rest, graphql, soap, restful, api, security, scanner, tool, vulnerability

# API Security Testing Tool

This tool allows you to perform security scans on various types of APIs, including REST, SOAP, and GraphQL. It provides basic and advanced scans and integrates with Swagger for automated testing.

## Features

- **Basic API Scan**: Quickly scan a domain for common security vulnerabilities.
- **Advanced Endpoint Scan**: Perform a more in-depth scan on specific API endpoints with custom headers.
- **Swagger Integration**: Scan APIs using Swagger documentation (URL or file).
- **SOAP Endpoint Testing**: Test SOAP APIs for security issues.
- **GraphQL Endpoint Testing**: Scan GraphQL APIs to detect vulnerabilities.
- **Output**: Save scan results in a JSON file for later analysis.

## Installation

### Method 1: 

Install directly using pip from PyPi:

```bash
pip install apisec
```

### Method 2:

Clone the repository and install the package using `pip`:

```bash
git clone https://github.com/yourusername/apisec-tool.git
cd apisec-tool
pip install .
```

### Post Install 
After installing apisec, run below command to install all dependecies and sync path variables.

```bash
apisec -i
```

## Usage

### REST API

- Basic Scan: Perform a basic security scan on a domain:

    ```bash
    apisec -bs "<domain name>"
    ```

- Advanced Scan: Perform an advanced scan on a specific API endpoint:

    ```bash
    apisec -ae "<API endpoint>" -ah "<headers in JSON format>"
    ```

- Using Swagger JSON File: Scan APIs based on Swagger documentation:

    ```bash
    apisec -su "<API server url>" -sf "<url or path to swagger.json file>" 
    ```

### SOAP API

- SOAP Scan: Test a SOAP API by specifying its endpoint:

    ```bash
    apisec -s "<SOAP API endpoint>
    ```

### GraphQL API

- GraphQL Scan: Test a GraphQL API for security vulnerabilities:

    ```bash
    apisec -g "<GraphQL API endpoint>"
    ```

### Saving Output

To save the scan results to a JSON file for later analysis, use the -o option:

```bash
apisec -bs "<domain name>" -o "scan_results.json"
```



## License

This project is licensed under the MIT License. See the LICENSE file for more details.
NanoCount 1.1.0.post2
NanoCount estimates transcripts abundance from Oxford Nanopore *direct-RNA sequencing* datasets, using an expectation-maximization approach like RSEM, Kallisto, salmon, etc to handle the uncertainty of multi-mapping reads
License: MIT
Requires Python: >=3.6

# NanoCount v1.1.0.post2

![NanoCount](./docs/pictures/NanoCount.png)

[![GitHub license](https://img.shields.io/github/license/a-slide/NanoCount.svg)](https://github.com/a-slide/NanoCount/blob/master/LICENSE)
[![Language](https://img.shields.io/badge/Language-Python3.6+-yellow.svg)](https://www.python.org/)
[![DOI](https://zenodo.org/badge/142873004.svg)](https://zenodo.org/badge/latestdoi/142873004)
[![Build Status](https://travis-ci.com/a-slide/NanoCount.svg?branch=master)](https://travis-ci.com/a-slide/NanoCount)

[![PyPI version](https://badge.fury.io/py/NanoCount.svg)](https://badge.fury.io/py/NanoCount)
[![PyPI downloads](https://pepy.tech/badge/NanoCount)](https://pepy.tech/project/NanoCount)
[![Anaconda Version](https://anaconda.org/aleg/nanocount/badges/version.svg)](https://anaconda.org/aleg/nanocount)
[![Anaconda Downloads](https://anaconda.org/aleg/nanocount/badges/downloads.svg)](https://anaconda.org/aleg/nanocount)
---

**NanoCount estimates transcripts abundance from Oxford Nanopore *direct-RNA sequencing* datasets, using an expectation-maximization approach like RSEM, Kallisto, salmon, etc to handle the uncertainty of multi-mapping reads**

Full documentation is available at https://a-slide.github.io/NanoCount/

---

### Disclaimer

Please be aware that NanoCount is a research package that is still under development.

The API, command line interface, and implementation might change without retro-compatibility.

It was tested under Linux Ubuntu 16.04 and in an HPC environment running under Red Hat Enterprise 7.1.

Thank you

### citation

The repository is archived at Zenodo. If you use NanoCount please cite as follow:

Josie Gleeson, Adrien Leger, Yair D J Prawer, Tracy A Lane, Paul J Harrison, Wilfried Haerty, Michael B Clark, Accurate expression quantification from nanopore direct RNA sequencing with NanoCount, Nucleic Acids Research, 2021;, gkab1129, https://doi.org/10.1093/nar/gkab1129

### licence

MIT (https://mit-license.org/)

Copyright © 2020 Adrien Leger

### Authors

* Adrien Leger / aleg@ebi.ac.uk / https://adrienleger.com

The package was inspired from https://github.com/jts/nanopore-rna-analysis by Jared Simpson

* Jared Simpson (@jts)

### Classifiers

* Development Status :: 3 - Alpha
* Intended Audience :: Science/Research
* Topic :: Scientific/Engineering :: Bio-Informatics
* License :: OSI Approved :: MIT License
* Programming Language :: Python :: 3
meta_eukaryome_detect 0.1.1
Pathogen, Parasite, Eukaryote and Virus detection in metagenomes..
License: MIT
Requires Python: <4.0,>=3.11

# meta_eukaryome_detect


[![pypi](https://img.shields.io/pypi/v/meta_eukaryome_detect.svg)](https://pypi.org/project/meta_eukaryome_detect/)
[![licence](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)


Pathogen, Parasite, Eukaryote and Virus detection in metagenomes.


* Documentation: <https://grp-bork.embl-community.io/grp-microbiome-astrology/meta_eukaryome_detect/>
* GitHub: <https://github.com/grp-bork/meta_eukaryome_detect>
* PyPI: <https://pypi.org/project/meta_eukaryome_detect/>
* Free software: MIT