Search Results for "stream"
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Showing 131 open source projects for "stream"
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Open Vision Agents by Stream
Build Vision Agents quickly with any model or video provider
Open Vision Agents by Stream is an open source framework from Stream for building real time, multimodal AI agents that watch, listen, and respond to live video streams. It focuses on combining video understanding models, such as YOLO and Roboflow based detectors, with real time large language models like OpenAI Realtime and Gemini Live to create interactive experiences. -
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IPTV Free TV
M3U Playlist for free TV channels
IPTV is a community-curated M3U playlist repository that aggregates free TV channels from around the world, allowing users to stream live television content over the internet or via locally available free broadcasts. It compiles lists of links to television channels that can be opened in any video player or IPTV client that supports the M3U format, effectively turning the open internet into a global TV guide. The repository is maintained by enthusiasts who gather publicly accessible channel streams, making it possible to watch international channels without subscription services, as long as users comply with applicable laws and licensing. ... -
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StreamCap
Multi-Platform Live Stream Automatic Recording Tool
StreamCap is a multi-platform live stream recording client that enables automated capture and management of live broadcasts from over 40 streaming platforms worldwide. Built on FFmpeg and StreamGet, it provides a robust system for monitoring live stream availability and automatically starting recordings when streams go online. The software supports batch recording and scheduled monitoring, allowing users to manage multiple streams simultaneously without manual intervention. ... -
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Bytewax
Python Stream Processing
Bytewax is a Python framework that simplifies event and stream processing. Because Bytewax couples the stream and event processing capabilities of Flink, Spark, and Kafka Streams with the friendly and familiar interface of Python, you can re-use the Python libraries you already know and love. Connect data sources, run stateful transformations, and write to various downstream systems with built-in connectors or existing Python libraries. -
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iptv-api
IPTV live stream source automatic update tool
IPTV API is an automated platform for collecting, validating, testing, filtering, and publishing IPTV stream sources. It aggregates local files and subscriptions, then generates playable results as M3U, TXT, or API output. Users can customize channel templates, aliases, logos, EPG data, protocol preferences, geographic filters, providers, resolution, and speed requirements. The system measures latency, throughput, resolution, and frame rate while removing invalid, unavailable, or repetitive placeholder streams. ... -
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Pathway
Python ETL framework for stream processing, real-time analytics, LLM
Pathway is an open-source framework designed for building real-time data applications using reactive and declarative paradigms. It enables seamless integration of live data streams and structured data into analytical pipelines with minimal latency. Pathway is especially well-suited for scenarios like financial analytics, IoT, fraud detection, and logistics, where high-velocity and continuously changing data is the norm. Unlike traditional batch processing frameworks, Pathway continuously... -
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Sunshine
Self-hosted game stream host for Moonlight
Sunshine is an open-source self‑hosted cloud gaming server that implements NVIDIA’s GameStream protocol. Compatible with Moonlight clients across platforms, it supports low‑latency streaming via software or hardware encoding (AMD/Intel/NVIDIA) and offers a browser‑based control UI for pairing. -
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Dispatcharr
Your Ultimate IPTV & Stream Management Companion
Dispatcharr is a self-hosted IPTV and streaming management platform built for people who want full control over their playlists, streams, and program guide (EPG) data. It lets you import M3U/EPG sources, curate and organize them with filtering and grouping, and serve them reliably to clients like Plex, Jellyfin, and Emby with advanced proxying and failover support. Designed with both simple personal use and larger self-hosted setups in mind, Dispatcharr offers real-time streaming statistics,... -
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GenAI Processors
GenAI Processors is a lightweight Python library
GenAI Processors is a lightweight Python library for building modular, asynchronous, and composable AI pipelines around Gemini. Its central abstraction is the Processor, a unit of work that consumes an asynchronous stream of parts (text, images, audio, JSON) and produces another stream, making it natural to chain operations and keep everything streaming end-to-end. Processors can be composed sequentially (to build multi-step flows) or in parallel (to fan-out work and merge results), which makes sophisticated agent behaviors easy to express with simple operators. ... -
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HypoMux
Windows multi-NIC bandwidth aggregator
...It also includes process-level routing rules so latency-sensitive apps can bypass aggregation while download-heavy apps use it. HypoMux is best suited for large Steam updates, download managers, browser downloads, and similar multi-connection workloads, not single-stream transfers. -
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Pyper
Concurrent Python made simple
Pyper is a Python-native orchestration and scheduling framework designed for modern data workflows, machine learning pipelines, and any task that benefits from a lightweight DAG-based execution engine. Unlike heavier platforms like Airflow, Pyper aims to remain lean, modular, and developer-friendly, embracing Pythonic conventions and minimizing boilerplate. It focuses on local development ergonomics and seamless transition to production environments, making it ideal for small teams and... -
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Lithops
A multi-cloud framework for big data analytics
Lithops is an open-source serverless computing framework that enables transparent execution of Python functions across multiple cloud providers and on-prem infrastructure. It abstracts cloud providers like IBM Cloud, AWS, Azure, and Google Cloud into a unified interface and turns your Python functions into scalable, event-driven workloads. Lithops is ideal for data processing, ML inference, and embarrassingly parallel workloads, giving you the power of FaaS (Function-as-a-Service) without... -
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SageMaker Spark Container
Docker image used to run data processing workloads
...It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. ... -
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LiteLLM
lightweight package to simplify LLM API calls
Call all LLM APIs using the OpenAI format [Anthropic, Huggingface, Cohere, Azure OpenAI etc.] liteLLM supports streaming the model response back, pass stream=True to get a streaming iterator in response. Streaming is supported for OpenAI, Azure, Anthropic, and Huggingface models. -
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Timbal
Simple, performant, battle-tested framework for building reliable AI
Timbal is an open-source Python framework for building reliable AI applications with a small, transparent architecture. It provides autonomous agents and explicit workflows through the same calling interface and event stream. Developers define behavior with familiar async functions, Pydantic validation, and composable tools instead of relying on hidden orchestration. The framework supports multiple model providers and can automatically fail over between configured models. Human approval gates can pause runs, preserve their state, and resume them after a process restart. ... -
16
Streamlink
Streamlink is a CLI utility which pipes video streams
...The main purpose of Streamlink is to avoid resource-heavy and unoptimized websites, while still allowing the user to enjoy various streamed content. There is also an API available for developers who want access to the stream data. Streamlink is built upon a plugin system that allows support for new services to be easily added. Most of the big streaming services are supported. Streamlink is made up of two parts, a cli and a library API. See their respective sections for more information on how to use them. The default behavior of Streamlink is to playback streams in the VLC player. ... -
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BentoML
Unified Model Serving Framework
BentoML simplifies ML model deployment and serves your models at a production scale. Support multiple ML frameworks natively: Tensorflow, PyTorch, XGBoost, Scikit-Learn and many more! Define custom serving pipeline with pre-processing, post-processing and ensemble models. Standard .bento format for packaging code, models and dependencies for easy versioning and deployment. Integrate with any training pipeline or ML experimentation platform. Parallelize compute-intense model inference... -
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Ollama Python
Ollama Python library
ollama-python is an open-source Python SDK that wraps the Ollama CLI, allowing seamless interaction with local large language models (LLMs) managed by Ollama. Developers use it to load models, send prompts, manage sessions, and stream responses directly from Python code. It simplifies integration of Ollama-based models into applications, supporting synchronous and streaming modes. This tool is ideal for those building AI-driven apps with local model deployment. -
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ElevenLabs Python
The official Python SDK for the ElevenLabs API
...The SDK is designed for quick setup: after installing the package and setting an API key, you can generate speech in multiple languages and play or process the resulting audio bytes. It includes helper utilities (like play and stream) so you can either play audio locally or integrate it into your own playback or networking pipeline. -
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DouyinLiveRecorder
Live recording software that can be looped and recorded
...It runs from source, packaged Windows builds, or Docker, with FFmpeg handling the actual media capture. Its design is aimed at unattended, multi-room recording rather than manual one-stream-at-a-time capture. -
21
Claude Code SDK Python
Python SDK for Claude Agent
...The repo is MIT-licensed and includes documentation and installation instructions (requires Python 3.10+, Node installation of Claude Code). Example usage shows how to stream responses, parse structured message blocks, or create persistent client sessions. -
22
DouK-Downloader
TikTok releases/likes/compilations/live streams/videos/atlases/music
DouK-Downloader is a fully open-source data acquisition and media downloading tool designed to extract, collect, and download content from TikTok and its Chinese counterpart Douyin at scale. Built using Python and modern asynchronous networking libraries such as HTTPX, it enables batch downloading of videos, images, live streams, and metadata from accounts, playlists, and individual links. The software goes beyond simple downloading by offering comprehensive data collection features,... -
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Android Emulator Container Scripts
Minimal scripts to run the emulator in a container for various systems
...It includes scripts and container images that configure the emulator for headless operation, wire up networking, and expose endpoints for ADB and web access. A built-in WebRTC bridge lets you stream the emulator screen to a browser with interactive input, which is ideal for CI dashboards, remote debugging, or demo environments. The project focuses on reproducibility and scale: you define which system image to boot, how to persist or reset data, and how many instances to run, then schedule them like any other workload. GPU acceleration, audio, and sensors can be enabled depending on your host and cluster capabilities, while fallbacks like SwiftShader keep things usable when no GPU is available. -
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LangGraph
Build resilient language agents as graphs
LangGraph is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application,... -
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gdown
Google Drive public file downloader when curl/wget fails
...Interrupted transfers can resume, while optional controls limit speed, route traffic through a proxy, adjust certificates, or change cookies and user agents. The tool also downloads regular HTTP and HTTPS URLs and can stream data to standard output. It is available as both a command-line program and a Python package.
