semvec/pypi-packages huggingface dataset:
gadlint 0.0.3
CLI tool that runs isort, ruff, mypy, and radon with built-in configurations.
Requires Python: >=3.8

<p align="center">
  <a href="https://github.com/AlexDemure/gadlint">
    <a href="https://ibb.co/Vc0tFPnw"><img src="https://i.ibb.co/rRKmB18d/logo.png" alt="logo" border="0"></a>
  </a>
</p>

<p align="center">
  CLI tool that runs isort, ruff, mypy, and radon with built-in configurations.
</p>

---

### Installation

```
pip install gadlint
```

### Usage

```sh
gadlint .
```
gadignore 0.0.4
CLI tool for quickly generating a .gitignore file for Python projects
Requires Python: >=3.8

<p align="center">
  <a href="https://github.com/AlexDemure/gadignore">
    <a href="https://ibb.co/39sRV2np"><img src="https://i.ibb.co/Nd3Tf5M9/logo.png" alt="logo" border="0"></a>
  </a>
</p>

<p align="center">
  CLI tool for quickly generating a .gitignore file for Python projects.
</p>

---

### Installation

```
pip install gadignore
```

### Usage

```sh
gadignore
```
braglog 0.5.1
A concise command-line tool for quickly logging daily tasks and milestones, ideal for personal and professional record-keeping.
Requires Python: >=3.12

# braglog
Easily log and manage daily work achievements to boost transparency and productivity 🌟

## Background
BragLog was inspired by an insightful article on [keeping a work changelog](https://code.dblock.org/2020/09/01/keep-a-changelog-at-work.html). This tool addresses that challenge by providing a simple yet powerful way to track professional achievements over time, making it easier to showcase your impact and growth.

## Installation
Install this tool using pip:
```bash
pip install braglog
```
Or using [pipx](https://pipx.pypa.io/stable/):
```bash
pipx install braglog
```
Or using [uv](https://docs.astral.sh/uv/guides/tools/):
```bash
uv tool install braglog
```
## Usage

For help, run:
```bash
braglog --help
```
You can also use:
```bash
python -m braglog --help
```
ai-providers-and-models 0.1.13
AI providers and models data module for Python
Requires Python: >=3.8

# ai_providers_and_models

[![codecov](https://codecov.io/gh/dwmkerr/ai-providers-and-models/graph/badge.svg?flag=python&token=1bEZ11ZqQZ)](https://codecov.io/gh/dwmkerr/ai-providers-and-models)

The Python API for [`ai-providers-and-models`](https://github.com/dwmkerr/ai-providers-and-models).

## Setup

Install dev dependencies and link the `models.yaml` into the development environment:

```bash
make init
```

## Deploy

Deploy to [TestPyPi](https://test.pypi.org) first then test the examples:

```bash
# Note: safer to publish as an RC while testing...
# Edit pyproject.toml
# version = "0.1.0rc1"
make build
twine upload --repository testpypi dist/*

# Create and activate a new venv.
python3 -m venv test_apam
source test_apam/bin/activate

# Upgrade pip and install from TestPypi. Note that dependencies like PyYAML
# are installed from the main PyPi repository. Note we also instal prerelease.
pip install --upgrade pip
pip install --upgrade --pre --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple  ai_providers_and_models

# Show the versions.
pip index versions --pre --index-url https://test.pypi.org/simple/ ai_providers_and_models

# Run the examples.
for example in ./examples/*; do
    [[ -e "${example}" ]] && python3 "${example}"
done

# Deactivate and delete the venv
deactivate
```

Then deploy to PyPi:

```bash
make build
twine upload dist/*
```
jarvis-api-library 1.3.4
A library for interacting with API's to be used within The J.A.R.V.I.S. Project.

# JARVIS-API-Library
This is the API python library for The J.A.R.V.I.S. Project.

# Installation

```bash
pip install jarvis-api-library
```


# Github
 - Forks of a Repository
 - Starred Repositories of a User
 - Collaborators on a Repository
 - Commits on a Repository
 - Deployments on a Repository
 - Issues on a Repository
 - Releases on a Repository
 - Followers of a User
 - A Users Following
 - A Users Repositories
 - A Repository Activity
 - The Branches of a Repository