matrice-streaming
Common server utilities for Matrice.ai services
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Package is distributed via test.pypi.org; installation requires the custom index URL shown in the snippet.
- Low install friction with no runtime dependencies.
- Active maintenance status with a recent release (8 days old).
License · maintenance · safety
MIT (permissive) — 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.
last release 2026-08-06 (8 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 93,280 downloads/mo, #13,394 on PyPI
Alternatives
Verify before relying
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()- 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.
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 on this page. Verify before relying on it.
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
matrice-streaming on PyPI
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.
Package is distributed via test.pypi.org; installation requires the custom index URL shown in the snippet.
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()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 the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 8 days since the last release |
| First released | |
| Downloads | 93,280 / month, #13,394 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: OS IndependentOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed |
Evidence: matrice_streaming-1.0.2-py3-none-any.whl
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See also matrice · matrice-common · matrice-inference · matrice-analytics · quixstreams · snowpipe-streaming · streamlit-webrtc · streamlit-camera-input-live · signalflow-client-python · streamlink