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traceAI is an open-source AI tracing framework built on OpenTelemetry for AI applications and frameworks. It captures LLM calls, prompts, token counts, retrieval steps and agent decisions as structured traces sent to any OTel-compatible backend. It provides drop-in instrumentation for supported AI frameworks across Python, TypeScript, Java and C#.
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Python library for automatic extraction of relevant features from time series.
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A fully featured, powerful async Python library for the Twitch API and EventSub.
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Twitch YouTube bot. Automatically make video compilations of the most viewed Twitch clips and upload them to YouTube using Python 3.
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Upsonic is a Python framework for building autonomous AI agents and more traditional agent systems. It provides an AutonomousAgent class with a workspace restriction on file and shell operations, prebuilt agents contributed by the community, and support for custom tools. It also offers a unified OCR interface supporting several engines. Installation is via pip.
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USBMap is a Python script that helps create a custom kext to ensure all USB ports work correctly by mapping them within macOS's limits. It supports mapping XHCI, EHCI, OHCI, and UHCI ports and USB 2 hubs, and has no dependency on USBInjectAll.kext. macOS supports up to 15 USB ports per controller.
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Vearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications. It supports hybrid vector search and scalar filtering, replication, elastic scaling, RESTful APIs, and SDKs for Python, Go, Java and Rust. It integrates with frameworks including LangChain and LlamaIndex and can be deployed via Kubernetes or Docker Compose.
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Vectara-agentic is a Python library hosted on GitHub for creating AI assistants with Vectara using Agentic RAG. The repository provides an overview, key features, and example AI assistants to help developers integrate the technology.
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VectorDB is a Python vector database designed to be simple and sufficient. It can be used locally or as a service, with server and client components. The project emphasizes ease of use for vector database needs.
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Videodl: A lightweight video downloader written in pure python. (轻量级视频下载器，优先高清无水印，支持抖音，快手，小红书，B站，TikTok，YouTube，FIFA+，优酷，腾讯，爱奇艺，1905电影网，乐视，芒果，咪咕，PPTV，搜狐，Facebook，Twitter，新浪微博，今日头条，网易公开课，全民K歌，CCTV央视频，酷狗音乐MV，新片场，知乎，百度贴吧，TED等海量流媒体平台)
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A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
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Some of the python libraries were cut-and-pasted from.
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VisPy is a high-performance interactive 2D/3D data visualization library that uses GPUs through OpenGL to display large datasets. It offers a Pythonic, NumPy-aware interface for OpenGL ES 2.0 called gloo and an experimental OpenGL backend for matplotlib. The project is described as young and under heavy development, with high-level plotting interfaces still experimental.
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Vosk is an offline speech recognition API hosted in the alphacep/vosk-api GitHub repository. It is compatible with Android, iOS, Raspberry Pi, and server environments, and provides SDKs for Python, Java, C#, and Node.
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WebDork is an open-source Python tool that automates dorking tasks to find publicly available information disclosures for specified companies and organisations. It accepts a target company or organisation name as input, runs dork searches either in a browser or via the terminal, and allows users to view, save, or suppress output of results, with optional proxy support to avoid blocks. The tool is intended for ethical information gathering, and users are required to independently verify any information found through its use.
A Python tool for updating EXIF data in WhatsApp images, with backup and integrity check functionalities.
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Whisper command line client compatible with the original OpenAI client and based on CTranslate2. It uses CTranslate2 and the Faster-whisper implementation. The project lists Docker images with pre-loaded models, speaker diarization, voice activity detection and live transcription from a microphone. It is installed as a Python package or run from a Docker image.
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The windML framework provides access to wind data sources within Python, building upon numpy, scipy, sklearn and matplotlib. It relates to renewable wind energy forecasting and prediction. The package is currently not maintained, though a deprecated branch is available.
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XGBoost is a scalable, portable and distributed gradient boosting library. It supports multiple programming languages including Python, R, Java, Scala and C, and can run on single machines or distributed frameworks such as Hadoop, Spark, Dask, Flink and DataFlow.
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Python script to extract savefiles out of Xbox Game Pass for PC games
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YASB (Yet Another Status Bar) is a highly configurable status bar for Windows written in Python. It supports many widgets, theming and deep customization. The wiki states it runs only on Windows. It can be installed via an .msi from GitHub releases, WinGet, Scoop or Chocolatey.
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Repository of Ultralytics YOLO models, including YOLO27, YOLO26, YOLO11, and YOLOv8, covering object detection, instance segmentation, semantic segmentation, image classification, pose estimation, and object tracking. Models can be installed as the ultralytics package, used through a CLI yolo command or Python, and exported to formats such as ONNX.
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ZenML is an open-source AI platform for building workflows that run on various infrastructure backends. It allows writing pipelines containing Python logic, such as model training or agentic loops, and tracks runs with metrics, logs and metadata. It integrates with tools and infrastructure including MLflow, LangGraph, Langfuse, Sagemaker and GCP Vertex.