semvec/pypi-packages huggingface dataset:
kodexa 7.4.421830084132
Python SDK for the Kodexa Platform
Requires Python: <3.14,>=3.11

# Kodexa Python SDK

Learn more about Kodexa at [kodexa.ai](https://kodexa.ai).

## Installation & Setup

The project now uses [uv](https://docs.astral.sh/uv/) for dependency management. To get started:

1. Install `uv` (via Homebrew, pipx, or the official installer). For example, using Homebrew:
   ```bash
   brew install uv
   ```

2. Create the virtual environment and install dependencies:
   ```bash
   uv sync
   ```

3. Run tests to verify your setup:
   ```bash
   uv run pytest
   ```

## Continuous Integration

GitHub Actions workflows now use `uv` for dependency installation, linting, testing, and publishing. Refer to `.github/workflows/` for job definitions if you need to mirror CI behavior locally.

## Documentation

Comprehensive documentation, including API references, tutorials, and best practices, is available at the [Kodexa Support Portal](https://support.kodexa.ai).

Key documentation sections include:
- Getting Started Guide
- API Reference
- Pipeline Development
- Model Creation
- Platform Integration
- Best Practices

## Examples

Check out our documentation for practical examples of:
- Document processing pipelines
- Custom model development
- Content extraction and transformation
- Platform integration patterns
- Action implementation

## Contributing

We welcome contributions to the Kodexa platform! Whether it's:
- Bug fixes
- Feature enhancements
- Documentation improvements
- Example contributions

Please see our [contributing guide](CONTRIBUTING.md) for details on how to get involved.

## License

This project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.

## Support

- Visit our [Developer Portal](https://developer.kodexa.ai) for documentation
- Contact us directly at support@kodexa.com for enterprise support

---

Built with ❤️ by the Kodexa team
tseapy 1.2.0a0
Interactive time series analysis in the browser with Flask and Plotly.
Requires Python: >=3.10

# tseapy: Time Series Explorative Analysis Python

**tseapy** is an open-source web app for interactive time series analysis. Users can upload CSV data and run built-in algorithms (change detection, pattern recognition, motif detection, smoothing, forecasting, decomposition, frequency analysis) in the browser.

## Quick Start (from source)

Prerequisites:
- Python 3.10+
- pip

```bash
git clone https://github.com/mrkshdt/tseapy.git
cd tseapy
make install
make run
```

Open [http://127.0.0.1:5000](http://127.0.0.1:5000).

If you do not want `make`:

```bash
python3 -m venv .venv
source .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install setuptools wheel
python -m pip install --no-build-isolation .
tseapy --host 127.0.0.1 --port 5000 --no-debug
```

For editable installs, use:

```bash
make install-editable
```

## Test and Packaging Commands

Run tests:

```bash
make test
```

Build source and wheel artifacts:

```bash
make build
```

Smoke-test the built wheel in a clean virtual environment:

```bash
make wheel-smoke
```

Offline smoke test (verifies wheel install and CLI entrypoint without downloading dependencies):

```bash
make wheel-smoke-offline
```

Manual equivalents:

```bash
.venv/bin/python -m pytest -q
.venv/bin/python -m build --no-isolation
python3 -m venv /tmp/tseapy-wheel-test
/tmp/tseapy-wheel-test/bin/pip install dist/*.whl
/tmp/tseapy-wheel-test/bin/tseapy --help
```

## Docker

Build and run:

```bash
docker build -t tseapy:local .
docker run --rm -p 5000:5000 -e TSEAPY_SECRET_KEY=dev-secret tseapy:local
```

Or with compose:

```bash
docker compose up --build
```

Health check endpoint:

```bash
curl http://127.0.0.1:5000/healthz
```

## CLI and WSGI

CLI:

```bash
tseapy --host 0.0.0.0 --port 8000 --debug
```

WSGI:

```bash
gunicorn wsgi:app
```

## Project Structure

- `app.py`: Flask app and routes.
- `tseapy/`: core package code (tasks, data, core abstractions, templates, static assets).
- `tests/`: unit and integration tests.
- `pyproject.toml`: package metadata and build configuration.
- `Dockerfile`: container build for reproducible runtime.
- `RELEASE.md`: release definition-of-done and checklist.
Markdown 3.10.2
Python implementation of John Gruber's Markdown.
Requires Python: >=3.10
Keywords: markdown, markdown-parser, python-markdown, markdown-to-html

[Python-Markdown][]
===================

[![Build Status][build-button]][build]
[![Coverage Status][codecov-button]][codecov]
[![Latest Version][mdversion-button]][md-pypi]
[![Python Versions][pyversion-button]][md-pypi]
[![BSD License][bsdlicense-button]][bsdlicense]
[![Code of Conduct][codeofconduct-button]][Code of Conduct]

[build-button]: https://github.com/Python-Markdown/markdown/actions/workflows/tox.yml/badge.svg
[build]: https://github.com/Python-Markdown/markdown/actions/workflows/tox.yml
[codecov-button]: https://codecov.io/gh/Python-Markdown/markdown/branch/master/graph/badge.svg
[codecov]: https://codecov.io/gh/Python-Markdown/markdown
[mdversion-button]: https://img.shields.io/pypi/v/Markdown.svg
[md-pypi]: https://pypi.org/project/Markdown/
[pyversion-button]: https://img.shields.io/pypi/pyversions/Markdown.svg
[bsdlicense-button]: https://img.shields.io/badge/license-BSD-yellow.svg
[bsdlicense]: https://opensource.org/licenses/BSD-3-Clause
[codeofconduct-button]: https://img.shields.io/badge/code%20of%20conduct-contributor%20covenant-green.svg?style=flat-square
[Code of Conduct]: https://github.com/Python-Markdown/markdown/blob/master/CODE_OF_CONDUCT.md

This is a Python implementation of John Gruber's [Markdown][].
It is almost completely compliant with the reference implementation,
though there are a few known issues. See [Features][] for information
on what exactly is supported and what is not. Additional features are
supported by the [Available Extensions][].

[Python-Markdown]: https://Python-Markdown.github.io/
[Markdown]: https://daringfireball.net/projects/markdown/
[Features]: https://Python-Markdown.github.io#Features
[Available Extensions]: https://Python-Markdown.github.io/extensions

Documentation
-------------

```bash
pip install markdown
```
```python
import markdown
html = markdown.markdown(your_text_string)
```

For more advanced [installation] and [usage] documentation, see the `docs/` directory
of the distribution or the project website at <https://Python-Markdown.github.io/>.

[installation]: https://python-markdown.github.io/install/
[usage]: https://python-markdown.github.io/reference/

See the change log at <https://python-markdown.github.io/changelog/>.

Support
-------

You may report bugs, ask for help, and discuss various other issues on the [bug tracker][].

[bug tracker]: https://github.com/Python-Markdown/markdown/issues

Code of Conduct
---------------

Everyone interacting in the Python-Markdown project's code bases, issue trackers,
and mailing lists is expected to follow the [Code of Conduct].