---
id: matrice-streaming
version: "1.0.2"
license: MIT
license_treatment: permissive
maintenance: active
---

# matrice-streaming — Common server utilities for Matrice.ai services

License: permissive · Maintenance: active · Downloads: 93.3K/mo

## What it is and what it does

matrice_streaming is a Cython-compiled Python package designed to provide high-performance utilities for building and deploying streaming applications on the Matrice.ai platform. It bundles ready-to-use components for real-time video streaming, client deployment, camera stream handling, and inference pipeline orchestration, with complete type stubs for IDE support.

The package targets developers building streaming and inference services. It has no external runtime dependencies, making installation straightforward. The codebase supports Python 3.8 through 3.12 and runs on Linux, macOS, and Windows. It is currently in Beta status and was last released 8 days ago, indicating active development.

Use it for:

- Build real-time video streaming pipelines with inference processing using StreamingGateway.
- Deploy multiple camera streams with centralized management via CameraManager.
- Orchestrate end-to-end deployment workflows for Matrice.ai services.
- Set up automated streaming workflows with intelligent routing using AutoStreaming.
- Integrate type-hinted streaming utilities into IDEs for rapid development.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

matrice_streaming provides Cython-compiled streaming, client, and deployment utilities for Matrice.ai services, including real-time streaming gateways, camera management, and deployment orchestration.

Yes, if you are building streaming or inference services for Matrice.ai. The package has low install friction, no external dependencies, active maintenance, and a permissive license. The Beta status and test.pypi.org distribution suggest it is still stabilizing; verify API stability and documentation completeness for your use case before committing to production.

## Install

pip install matrice-streaming
uv add matrice-streaming
poetry add matrice-streaming

## Installing matrice-streaming

Before you install: Low install friction with no runtime dependencies. Active maintenance status with a recent release (8 days old). Supports Python 3.8–3.12 across major platforms.

License in practice: MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute the package freely provided you include the license notice.

Quickstart:

pip install --index-url https://test.pypi.org/simple/ matrice_streaming

from matrice_streaming import StreamingGateway, AutoStreaming
gateway = StreamingGateway(model_input_type="video", input_config=config, output_config=config)
auto_stream = AutoStreaming()
auto_stream.start_streaming()

Package is distributed via test.pypi.org; installation requires the custom index URL shown in the snippet.

Verify before relying:

- Whether Cython compilation is pre-built for all supported platforms or requires a C compiler at install time.
- API stability and backward-compatibility guarantees given the Beta development status.
- Performance characteristics and throughput limits for streaming workloads.
- Availability and completeness of documentation beyond type stubs.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 93.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

streaming gateway python, real-time video streaming, camera management utilities, deployment orchestration, matrice.ai client, cython compiled streaming, inference processing pipeline, streaming-video, cython-compiled, matrice-ai

[View on SkillFed](https://skillfed.io/packages/matrice-streaming) · [View on PyPI](https://pypi.org/project/matrice-streaming/)