semvec/pypi-packages huggingface dataset:
multisport-py 0.1.3
Python client library for interacting with the MultiSport platform.
Requires Python: >=3.10

# multisport-py

A Python library for interacting with the MultiSport API.

## Installation

```bash
pip install multisport-py
```

## Usage

For a complete, working example of how to use the library, please see the `simple_usage.py` file in the `examples` directory.

[» View Example: `examples/simple_usage.py`](./examples/simple_usage.py)

To run the example, you will need to:
1. Create a `.env` file in the root of the project (you can copy `.env.example`).
2. Fill in your `MULTISPORT_USERNAME` and `MULTISPORT_PASSWORD`.
3. Run the script:
   ```bash
   python examples/simple_usage.py
   ```

## Development

To set up the development environment:

1. Clone the repository:
   ```bash
   git clone https://github.com/TheUndefined/multisport-py.git
   cd multisport-py
   ```
2. Create and activate a virtual environment:
   ```bash
   python -m venv .venv
   source .venv/bin/activate
   ```
3. Install development dependencies:
   ```bash
   pip install hatchling pytest ruff black mypy httpx
   pip install -e . # Install the library in editable mode
   ```

## Running Tests

```bash
pytest
```

## Formatting and Linting

```bash
black .
ruff check . --fix
mypy src
```

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
simple-http-checker-frostyfire1 1.2.1
A simple CLI tool to check the status of URLs.
Requires Python: >=3.9

# python-devops-cicd-project

## TODO
- [X] Implement project
- [X] Add simple Github Actions (GHA) workflow and make sure it runs until completion
- [X] Add linting/format checks
- [X] Add typing/security checks
- [X] Add test automation
- [X] Build project
- [X] Publish to TestPyPi and PyPi when a new tag is pushed
pervpy 0.1.3
Analyzing and profiling python applications, innocently
Requires Python: >=3.11

# pervpy
pervpy is created with the aim to provide a centralized package for profiling and analyzing the performance of different Python applications.

At the current stage, it only supports monitoring Django ORM's SQL queries.

## Install

`pervpy` should only be used in development and should not be added in production

```bash
uv add --dev pervpy
# or
pip install pervpy
```


## Sections
[DjangoORMWatch](./docs/django_orm_watch.md)