semvec/pypi-packages huggingface dataset:
LocalAssistant 1.1.2
LocalAssistant (locas) is an AI designed to be used in CLI. (Currently in development)
Requires Python: >=3.10

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# LocalAssistant

**Locas - your local assistant**

[![][latest-release-shield]][latest-release-url]
[![][latest-commit-shield]][latest-commit-url]
[![][pypi-shield]][pypi-url]
[![][python-shield]][python-url]

[latest-release-shield]: https://badgen.net/github/release/Linos1391/LocalAssistant/development?icon=github
[latest-release-url]: https://github.com/Linos1391/LocalAssistant/releases/latest
[latest-commit-shield]: https://badgen.net/github/last-commit/Linos1391/LocalAssistant/main?icon=github
[latest-commit-url]: https://github.com/Linos1391/LocalAssistant/commits/main
[pypi-shield]: https://img.shields.io/badge/pypi-LocalAssistant-blue
[pypi-url]: https://pypi.org/project/LocalAssistant/
[python-shield]: https://img.shields.io/badge/python-3.10+-yellow
[python-url]: https://www.python.org/downloads/

![icon](https://github.com/Linos1391/LocalAssistant/blob/main/docs/asset/icon.png?raw=true)

**Your CLI friend.**

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<br>

```
>> locas -h

usage: locas [-h] [-v] [-V] COMMAND ...

LocalAssistant (locas) is an AI designed to be used in CLI.

options:
  -h, --help          show this help message and exit
  -v, --verbose       show debug messages (Can be used multiple times for higher level: CRITICAL[v] -> DEBUG[vvvv])
  -V, --version       show program's version number and exit

commands:
  built-in commands (type 'locas COMMAND -h' for better description).

  COMMAND
    download          Download models from Hugging Face
    config            Configurate LocalAssistant.
    user              Config user.
    chat              Chat with models for limited lines. (no history saved)
    start             Chat with models using history.
    docs              Ask information from provided documents.
    self-destruction  LocalAssistant's self-destruction.
```

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# Brief Overview

LocalAssistant is an AI that communicating through terminal. Even though currently in development, it is equipped with communication function, memory ability and document query. I made this for an even bigger project later, so until fully completed, it will not be dropped.

<br>

# Documents

To learn more, read docs at [here](https://localassistant.readthedocs.io/en/latest/).

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# Contribution

Below is what I tried but could not get it done. So your help will help me a lot!

- **Call time:** I tested `locas` with Powershell's `Measure-Command`, I got 7-9s. But then when trying with `CProfile.run()`, it's approximately 0.2s... Why...?
- **pytest:** I know this sounds wrong, but I don't even know where to start. Maybe I will try again, but not right now I guess.

Not just those above. All contributions are welcomed, I would be grateful for one day having peer coders beside me!

<br>

# License

[GNU GPLv3](LICENSE)

<br>

# Disclaimer

This AI was designed to communicating with Hugging Face models in CLI. Please do not use this AI for any unethical reasons. Any damages from abusing this application will not be the responsibility of the author.
extrastats 0.1.0
A Python package for advanced statistical analysis.
Requires Python: >=3.8

# extrastats

**Advanced statistical tools and routines for Python**

`extrastats` is a Python library that provides high-quality statistical methods to address gaps in mainstream libraries like NumPy, SciPy, and statsmodels. Designed for data scientists, statisticians, and researchers, `extrastats` includes robust, customizable, and performance-optimized routines.

Copyright 2022-2025 Jerrad Michael Genson

This library is licensed under the Mozilla Public License, v. 2.0.

---

## Features

### Robust Outlier Detection
- **Adjusted Boxplot**: A method that extends traditional boxplots using the medcouple statistic for skewness adjustment.

### Advanced Permutation Testing
- Flexible resampling strategies:
  - Pairings, samples, independent shuffles, and bootstrapping.
- Parallel computation with `joblib`.

### Confidence Interval Estimation
- Bootstrap-based confidence intervals for arbitrary statistics.
- Support for multiple confidence levels in a single call.

### Sample Size Estimation
- Monte Carlo simulations to determine required sample sizes for target confidence interval widths.

### Tail Weight Analysis
- Evaluate the tail weight of distributions using the L/RMC method.

### Mutual Information
- Compute mutual information for discrete variables.
- Optional normalization for interpretability.

### Additional Metrics
- Geometric Coefficient of Variation (GCV)
- Harmonic Variability (HVAR)
- Trimmed statistics and probability operations.

---
activepy 1.0.7
A command-line utility for creating and managing Python webapp applications.
Requires Python: >=3.6

# Activepy

![Python](https://img.shields.io/badge/language-Python-blue.svg)
![PyPI - Downloads](https://img.shields.io/pypi/dm/activepy)
![PyPI - Version](https://img.shields.io/pypi/v/activepy)  <!-- Replace 'activepy' with your actual package name -->


Activepy is a command-line utility for creating and managing Python web applications. It simplifies the setup process by creating the necessary files and directories for your app, as well as providing a way to start a local server.

## 1.0.7
UPDATE:
- Added documentation
- Added database functions [ BETA ]

## NEW DOCUMENTATION:
Go to https://activepy.tiiny.site 
or in cmd type:
```bash
actpy docs
```

## Prerequisites

Make sure you have Python 3.x installed on your machine. You can download it from [python.org](https://www.python.org/downloads/).

### Installation

In the cmd, type:
```bash
pip install activepy
```

Any questions? Contact me on cardellasimone10@gmail.com