semvec/pypi-packages huggingface dataset:
FactBlitz 0.0.1
A package to create Tik-Tok videos with fun facts.
Requires Python: >=3.12

need to get our application approved so that we can obtain OAuth tokens
need to be approved for the direct post api (otherwise, videos may be private by default)
need to agree on how video_manager class logic should be created and if we want one class handling youtube/tiktok or split it up inbetween 2 classes
simikit 0.1.3
Image Similarity Toolkit in Python
Requires Python: >=3.11

## SimiKit: Image Similarity Toolkit in Python


English | [中文](doc/README_cn.md) 

## Overview

SimiKit is a toolkit for commonly used image similarity algorithms. This project provides various tools to help developers quickly compare the effects of multiple image similarity algorithms, and assist developers in selecting an image similarity algorithm that best meets their needs.

## Installation
#### 1. Install by pip
```shell
pip install simikit
```

#### 2. Install by [uv](https://github.com/astral-sh/uv)
- 2.1. [Install uv](https://docs.astral.sh/uv/getting-started/installation/)(if not currently installed)
```shell
curl -LsSf https://astral.sh/uv/install.sh | sh  # macOS and Linux
# on Windows:
# powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
```
- 2.2. Clone the repository:
```shell
git clone https://github.com/yie1d/simikit.git  
cd simikit
```
- 2.3. Create a new virtual environment and activate it:
```shell
uv venv
source .venv/bin/activate  # On Unix/macOS
# Or on Windows:
# .venv\Scripts\activate
```
- 2.4. Install dependencies:
```shell
uv sync
```

## Basic Usage

### 1. extract image features
```python
from simikit.features import AHash, Vit, DinoV2

print(DinoV2().encode('./t1.png'))
print(Vit().encode('./t1.png'))
print(AHash().encode('./t1.png'))

```

### 2. use comparator by multiple algorithms
```python
from simikit.api import Comparator
from simikit.features import AHash, DHash
from simikit.metrics import hamming_distance

comparator = Comparator([
    (DHash(16, vertical=True), hamming_distance),
    (AHash(16), hamming_distance),
    (AHash(8), hamming_distance),
])

print(comparator.compare_image(
    './t1.png',
    './t2.png',
))
```

## Supported Algorithms

- HASH
  - Average hashing
  - Difference hashing
  - Perceptual hashing
  - Wavelet hashing
- Transformer
  - VIT
  - DINOv2

## Contribution

Thank you for your interest in `simikit`. Submissions in all aspects are welcome. Let's work together to make `simikit` better!

## Future Plans

- Add more image similarity algorithms

If there is any similarity algorithm that you want but is not currently available in the `simikit`, you are welcome to raise it in the `Issues` section!
notacheat 0.2.5
A package made so that all hischoolers can use.
Requires Python: >=3.6

This package was made by a high school student who was frustrated with the performance evaluation that required hand coding, and it was designed to calculate the internal vector of the vector, the eigenvalues of the matrix, the eigenvectors, the inverse matrix, and the diagonal matrix. Please use it well.

Pleas contact me at : minjaepark3837@gmail.com
maliapicall 0.0.3
A package to call Mali APIs
Requires Python: >=3.7

# Mali API Package

This package simplifies the process of obtaining tokens.

## Prerequisites
This package assumes using Python 3.7 and the expected package dependencies are listed in the "requirements.txt" file
 for PIP, you need to run the following command to get dependencies:
```
pip install -r requirements.txt
```

## Installing the package (from PyPi)
The package has been deployed to the PyPi and it can be install using pip command below:
```
pip install maliapicall
```

## Examples of python usage
- You need to provide the corresponding webpage authentication request URL ending with "form", as well as your login account information.
``` python
token = maliapicall.wms.get_token(auth_url='https://xxx.xxx.com/xxx/xxx/form',
                                    user_name='Your_Username',
                                    user_password='Your_Password')
```    
- Please note that do not call the API too frequently. You can save the generated token and use it for testing.