semvec/pypi-packages huggingface dataset:
slamtec-aurora-python-sdk-win64 2.1.0
Python bindings for SLAMTEC Aurora Remote SDK
Requires Python: >=3.6
Keywords: aurora slam lidar robotics navigation mapping


SLAMTEC Aurora Remote SDK Python Bindings

This package provides Python bindings for the SLAMTEC Aurora Remote SDK,
enabling Python applications to communicate with Aurora devices and
retrieve pose, image, LiDAR, and map data.

Features:
- Device discovery and connection
- Real-time pose data retrieval
- Camera frame preview
- LiDAR scan data access
- Map visualization capabilities
- Pythonic API with context manager support

Requirements:
- Python 3.6+
- NumPy
- OpenCV (optional, for visualization examples)
slamtec-aurora-python-sdk-macos-arm64 2.1.0
Python bindings for SLAMTEC Aurora Remote SDK
Requires Python: >=3.6
Keywords: aurora slam lidar robotics navigation mapping


SLAMTEC Aurora Remote SDK Python Bindings

This package provides Python bindings for the SLAMTEC Aurora Remote SDK,
enabling Python applications to communicate with Aurora devices and
retrieve pose, image, LiDAR, and map data.

Features:
- Device discovery and connection
- Real-time pose data retrieval
- Camera frame preview
- LiDAR scan data access
- Map visualization capabilities
- Pythonic API with context manager support

Requirements:
- Python 3.6+
- NumPy
- OpenCV (optional, for visualization examples)
slamtec-aurora-python-sdk-linux-x86-64 2.1.0
Python bindings for SLAMTEC Aurora Remote SDK
Requires Python: >=3.6
Keywords: aurora slam lidar robotics navigation mapping


SLAMTEC Aurora Remote SDK Python Bindings

This package provides Python bindings for the SLAMTEC Aurora Remote SDK,
enabling Python applications to communicate with Aurora devices and
retrieve pose, image, LiDAR, and map data.

Features:
- Device discovery and connection
- Real-time pose data retrieval
- Camera frame preview
- LiDAR scan data access
- Map visualization capabilities
- Pythonic API with context manager support

Requirements:
- Python 3.6+
- NumPy
- OpenCV (optional, for visualization examples)
slamtec-aurora-python-sdk-linux-aarch64 2.1.0
Python bindings for SLAMTEC Aurora Remote SDK
Requires Python: >=3.6
Keywords: aurora slam lidar robotics navigation mapping


SLAMTEC Aurora Remote SDK Python Bindings

This package provides Python bindings for the SLAMTEC Aurora Remote SDK,
enabling Python applications to communicate with Aurora devices and
retrieve pose, image, LiDAR, and map data.

Features:
- Device discovery and connection
- Real-time pose data retrieval
- Camera frame preview
- LiDAR scan data access
- Map visualization capabilities
- Pythonic API with context manager support

Requirements:
- Python 3.6+
- NumPy
- OpenCV (optional, for visualization examples)
fastar 0.8.0
High-level bindings for the Rust tar crate
Requires Python: >=3.8

# Fastar

[![Versions][versions-image]][versions-url]
[![PyPI][pypi-image]][pypi-url]
[![Downloads][downloads-image]][downloads-url]
[![License][license-image]][license-url]
[![CodSpeed][codspeed-image]][codspeed-url]

[versions-image]: https://img.shields.io/pypi/pyversions/fastar
[versions-url]: https://github.com/DoctorJohn/fastar/blob/main/pyproject.toml
[pypi-image]: https://img.shields.io/pypi/v/fastar
[pypi-url]: https://pypi.org/project/fastar/
[downloads-image]: https://img.shields.io/pypi/dm/fastar
[downloads-url]: https://pypistats.org/packages/fastar
[license-image]: https://img.shields.io/pypi/l/fastar
[license-url]: https://github.com/DoctorJohn/fastar/blob/main/LICENSE
[codspeed-image]: https://img.shields.io/endpoint?url=https://codspeed.io/badge.json
[codspeed-url]: https://codspeed.io/DoctorJohn/fastar

The `fastar` library wraps the Rust [tar](https://crates.io/crates/tar), [flate2](https://crates.io/crates/flate2), and [zstd](https://crates.io/crates/zstd) crates, providing a high-performance way to work with compressed and uncompressed tar archives in Python.

## Installation

```sh
pip install fastar
```

## Usage

This section shows basic examples of how to create and extract tar archives using Fastar. For more usage examples, please refer directly to the test cases in the [tests](https://github.com/DoctorJohn/fastar/tree/main/tests) directory.

```python
import fastar
from pathlib import Path


input_file = Path("file.txt")
input_file.write_text("Hello, Fastar!")


with fastar.open("archive.tar", "w") as archive:
    archive.append(input_file)


with fastar.open("archive.tar", "r") as archive:
    archive.unpack("output/")


unpacked_file = Path("output/file.txt")
print(unpacked_file.read_text())  # Hello, Fastar!
```

### Opening Modes

The `fastar.open` method supports the following modes:

| Mode          | Action        | Compression               |
| ------------- | ------------- | ------------------------- |
| `"w"`         | Write         | None                      |
| `"w:gz"`      | Write         | Gzip                      |
| `"w:zst"`     | Write         | Zstandard                 |
| `"r"`         | Read          | Automatically detected    |
| `"r:"`        | Read          | None                      |
| `"r:gz"`      | Read          | Gzip                      |
| `"r:zst"`     | Read          | Zstandard                 |

## Development

1. Install dependencies into a virtual env: `uv sync`
2. Make changes to the code and tests
3. Build the package: `uv run maturin develop`
4. Run the tests: `uv run pytest`
bbbdl 1.3.4
Downloader for BigBlueButton meetings
Requires Python: <4.0,>=3.11
Keywords: bigbluebutton, download, video, recording

<div align="center">
<img alt="" src="https://forge.steffo.eu/steffo/bbbdl/raw/branch/main/.media/icon-512.png" height="128" style="border-radius: 100%;">
<hgroup>
<h1>BBBDL</h1>
<p>BigBlueButton meetings downloader</p>
</hgroup>
</div>

## Quick setup

Make sure [pipx] and [ffmpeg] are installed, then:

```bash
pipx install bbbdl
pipx run bbbdl --version
pipx run bbbdl --help
```

See [the documentation] for more information.

[pipx]: https://pipx.pypa.io/latest/
[ffmpeg]: https://ffmpeg.org/
[the documentation]: https://artifacts.steffo.eu/steffo/bbbdl/latest/docs/

## Links

### Tools

<a href="https://www.python.org/">
	<img alt="Written in Python" title="Written in Python" src="https://img.shields.io/badge/language-python-3775a9" height="30px">
</a>
&hairsp;
<a href="https://click.palletsprojects.com/en/stable/">
	<img alt="CLI with Click" title="CLI with Click" src="https://img.shields.io/badge/cli-click-917ab1" height="30px">
</a>

### Packaging

<a href="https://pypi.org/project/bbbdl">
	<img alt="Available on PyPI" title="Available on PyPI" src="https://img.shields.io/pypi/v/bbbdl?label=pypi&color=ffd242" height="30px">
</a>
&hairsp;
<a href="https://forge.steffo.eu/steffo/-/packages/pypi/bbbdl">
	<img alt="Available on Forgejo Packages" title="Available on Forgejo Packages" src="https://img.shields.io/badge/forgejo%20packages-latest-ff6600" height="30px">
</a>

### Documentation

<a href="https://artifacts.steffo.eu/steffo/bbbdl/">
	<img alt="Documentation available" title="Documentation available" src="https://img.shields.io/website?url=https%3A%2F%2Fartifacts.steffo.eu%2Fsteffo%2Fbbbdl%2F&up_color=175d36&up_message=available&down_message=error&label=documentation" height="30px">
</a>
&hairsp;
<a href="https://interoperable-europe.ec.europa.eu/collection/eupl/eupl-text-eupl-12">
	<img alt="Licensed under EUPL-1.2" title="Licensed under EUPL-1.2" src="https://img.shields.io/badge/license-EUPL--1.2-003399" height="30px">
</a>

### Development

<a href="https://forge.steffo.eu/steffo/bbbdl">
	<img alt="Code repository" title="Code repository" src="https://img.shields.io/gitea/last-commit/steffo/bbbdl?gitea_url=https%3A%2F%2Fforge.steffo.eu&color=374351" height="30px">
</a>
&hairsp;
<a href="https://forge.steffo.eu/steffo/bbbdl/releases">
	<img alt="Releases" title="Releases" src="https://img.shields.io/gitea/v/release/steffo/bbbdl?gitea_url=https%3A%2F%2Fforge.steffo.eu&label=last+release&color=374351" height="30px">
</a>
typeagent 0.3.3
Incremental message indexing and querying pipelines using Structured RAG
Requires Python: >=3.12

# Python package 'typeagent'

### This is an experimental prototype

Working toward a shared understanding of the MVP for structured RAG.

### This is sample code

This is an in-progress project aiming at a Pythonic translation of
[TypeAgent KnowPro](https://github.com/microsoft/TypeAgent/tree/main/ts/packages/knowPro)
and a few related packages from TypeScript to Python.

### Warning

This library will send its input to an LLM hosted by a third party.
Don't use it to index confidential information.

### Documentation

- Found in the [docs directory](docs/README.md)
- Quick install: `pip install typeagent`
- Download the [PyBay '25 PowerPoint slides](https://github.com/microsoft/typeagent-py/raw/refs/heads/main/docs/StructuredRagPyBay25.pptx)
- Download the [PyBay '25 slides as PDF](https://github.com/microsoft/typeagent-py/raw/refs/heads/main/docs/StructuredRagPyBay25.pdf)
- Watch the [PyBay '25 video](https://youtu.be/-klESD7iB-s)

## Trademarks

This project may contain trademarks or logos for projects, products, or services.
Authorized use of Microsoft trademarks or logos is subject to and must follow
[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
Use of Microsoft trademarks or logos in modified versions of this project
must not cause confusion or imply Microsoft sponsorship.
Any use of third-party trademarks or logos are subject to those third-party's policies.