Search Results for "processing" - Page 31
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Showing 6566 open source projects for "processing"
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PySpur
Visual tool for building, testing, and deploying AI agent workflows
PySpur is a visual development environment designed to help AI engineers build, test, and iterate on agent-based workflows more efficiently. It provides a structured playground where users can define test cases, construct agents either through Python code or a graphical interface, and continuously refine their behavior. It addresses common challenges in AI agent development such as prompt tuning difficulties and lack of visibility into workflow execution. By offering a visual representation... -
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AstronRPA
Agent-ready RPA suite with visual workflow automation tools engine
...It enables automation of common desktop software and browser-based tasks, making it suitable for repetitive business operations and system integrations. Astron RPA includes a large library of reusable components that handle tasks such as user interface operations, data processing, and system interactions, allowing workflows to be assembled from modular building blocks. Astron RPA also integrates with intelligent agent systems so that automated processes and AI-driven workflows can work together in broader automation scenarios. -
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Bespoke Curator
Synthetic data curation for post-training and data extraction
Curator is an open-source Python library designed to build synthetic data pipelines for training and evaluating machine learning models, particularly large language models. The system helps developers generate, transform, and curate high-quality datasets by combining automated generation with structured validation and filtering. It supports workflows where models are used to produce synthetic examples that can later be refined into reliable training datasets for reasoning, question... -
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Agentic Data Scientist
An end-to-end Data Scientist
...Unlike traditional scripted pipelines, this project lets AI agents break down high-level research goals into sub-tasks such as data acquisition, cleaning, modeling, evaluation, and reporting, with minimal human direction. Each agent is designed to independently call functions, interact with data sources, and adapt to uncertainties during processing, enabling iterative refinement of models without manual coordination. The framework supports interoperability with existing data tools and libraries, letting the agents leverage libraries like pandas, scikit-learn, and visualization frameworks to perform real computations rather than mock demonstrations. -
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fx
Command-line tool and terminal JSON viewer
fx can work in two modes, cli and interactive. To start interactive mode pipe any JSON into fx. One of the frequent operations is mapping some function on an array. You can pass any number of anonymous functions for reducing JSON. fx provides a function save which will save everything in place and return saved object. This function can be only used with filename as first argument to fx command. Create .fxrc file in $HOME directory, and require any packages or define global functions. To be... -
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workerpool
Offload tasks to a pool of workers on node.js and in the browser
...It supports task queuing, dynamic worker scaling, timeouts, transferable objects, and proxy-based APIs for interacting with worker functions as if they were local calls. workerpool is designed to improve application responsiveness and throughput in workloads involving heavy computation, data processing, or asynchronous execution. The library works across multiple environments, supporting Web Workers in browsers and Worker Threads or child processes in Node.js. Its architecture emphasizes ease of integration, scalability, and efficient concurrency management for modern JavaScript applications. -
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Mike
OSS AI Legal Platform
Mike is a software project that appears to focus on automation or tooling, likely designed to streamline workflows related to development, deployment, or data processing. It may function as a command-line utility or lightweight framework that integrates with existing systems to improve efficiency. The project emphasizes simplicity and clarity, providing focused functionality without unnecessary overhead. Its design likely supports extensibility, allowing users to adapt it to specific use cases or integrate it into larger pipelines. ... -
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Live Auto Record
Electron-based automatic recording software
...The system is built to support long-running processes, allowing users to maintain persistent monitoring of multiple sources simultaneously. It integrates FFmpeg for recording and processing streams, ensuring compatibility with a wide range of formats and protocols. The tool includes configuration options for scheduling, output management, and platform-specific settings. Its lightweight design makes it suitable for running on servers or personal systems with minimal overhead. Overall, it provides a reliable solution for archiving live streaming content automatically. -
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ffmpeg-commander
A web-based GUI for quickly generating common FFmpeg command-line
...The interface is inspired by tools like HandBrake, aiming to lower the barrier to entry for FFmpeg usage. Overall, it acts as a bridge between ease of use and powerful multimedia processing capabilities. -
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ComfyUI SUPIR
SUPIR upscaling wrapper for ComfyUI
...The integration provides nodes that allow users to control parameters such as noise levels, guidance strength, and output quality. It is particularly useful for workflows that require upscaling or restoring images before further processing. The project leverages modern generative models to produce sharp, detailed outputs while preserving the original structure of the image. It can be combined with other ComfyUI nodes for tasks such as stylization or animation. The system is designed to balance quality and performance, making it suitable for both experimentation and production use. ... -
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OpenAI
Swift community driven package for OpenAI public API
...It simplifies the integration of AI capabilities into iOS, macOS, and other Swift-based applications by offering a clean abstraction over the underlying REST API, enabling developers to focus on functionality rather than low-level implementation details. The SDK supports a wide range of features including chat completions, embeddings, image generation, audio processing, and structured outputs, making it a comprehensive toolkit for building AI-powered applications. It also includes support for advanced features such as function calling, assistants, and tool integration through protocols like Model Context Protocol, enabling more complex and interactive AI workflows. -
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OpenPlanter
Language-model investigation agent with a terminal UI
OpenPlanter is an open-source Python project focused on building an intelligent automated planting or gardening system powered by software control and data processing. The repository is designed to help developers and hobbyists create programmable plant management workflows that can monitor, schedule, and optimize growing conditions. It emphasizes automation and extensibility, allowing integration with sensors, environmental data, and control logic for smart cultivation setups. The system is structured to support experimentation and customization, making it suitable for both research and DIY agriculture projects. ... -
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The FreeMoCap Project
Free Motion Capture for Everyone
...It processes synchronized video feeds to reconstruct skeletal motion, which can then be exported for animation, biomechanics research, or creative projects. FreeMoCap includes tools for calibration, recording, processing, and visualization, allowing users to move from raw footage to structured motion data within a single ecosystem. Because it is open and extensible, researchers and developers can adapt the pipeline for specialized motion analysis or integrate it into animation workflows. -
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stt
Voice Recognition to Text Tool
...The project is designed to be easy to deploy: you can run a local Python server that exposes an HTTP API for uploading audio/video files and retrieving transcriptions in different formats. It supports GPU acceleration if available, enabling faster processing on compatible hardware but still offers reliable performance on CPUs alone. -
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npcpy
The AI toolkit for the AI developer
npcpy is a Python-based agent framework and command-line toolkit (the NPC Shell) for developers to build, test, and integrate AI agents into their workflows, including both command-line and GUI interfaces via NPC Studio. Welcome to npcpy, the core library of the NPC Toolkit that supercharges natural language processing pipelines and agent tooling. npcpy is a flexible framework for building state-of-the-art applications and conducting novel research with LLMs. The structure of npcpy also allows one to pass an npc to get_llm_response in addition to using the NPC's wrapped method, allowing you to be flexible in your implementation and testing. -
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slop
Queries for a selection from the user and prints the region to stdout
...It's commonly used as a helper tool in screen capture or automation scripts and integrates well with utilities like maim, grim, or custom scripts for capturing and processing screen regions. Written in C++ and using X11, it’s lightweight and flexible, with options to control border styling, transparency, and display output. It’s a must-have for power users and developers working in Linux environments. -
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Tarantool
Get your data in RAM, get compute close to data, enjoy the performance
In OLTP scenarios, Tarantool can be used instead of relational databases. Such a solution will work many times faster. With Tarantool, you can replace the traditional bundle of database & cache and reduce operational costs. Tarantool is tolerant of write-heavy loads. It also allows keeping full-featured applications close to the data, thus reducing data access network latency to zero. The open-source Community Edition lets you develop applications and speed up a system in operation. It... -
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Rivet
Visual AI IDE for building agents with prompt chains and graphs
...Rivet supports multiple large language model providers and integrates with services such as embeddings and transcription systems, allowing developers to create richer AI-powered features. Its architecture emphasizes composability, where different components like prompts, APIs, and data processing steps can be combined into reusable pipelines. -
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Google Cloud Dataflow Template Pipelines
Cloud Dataflow Google-provided templates for solving data tasks
DataflowTemplates is the source repository for Google-provided Dataflow templates that are intended to solve large-scale in-cloud data processing tasks without requiring users to build everything from scratch in a full development environment. The repository is centered on templated pipelines powered by Google Cloud Dataflow and Apache Beam, making it easier to run common integration and movement jobs such as data import, export, backup, restore, and bulk API operations. -
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FISSURE
The RF and reverse engineering framework for everyone
...The platform supports workflows related to signal discovery, demodulation, packet inspection, fuzzing, and attack simulation, making it useful for both defensive research and controlled lab testing. Its architecture is oriented toward extensibility, so users can integrate additional hardware, signal-processing components, and protocol-specific modules depending on their needs. -
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Amazing-Python-Scripts
Curated collection of Amazing Python scripts
Amazing-Python-Scripts is a collaborative repository that collects a wide variety of Python scripts designed to demonstrate practical programming techniques and automation tasks. The project includes scripts ranging from beginner-level utilities to more advanced applications involving machine learning, data processing, and system automation. Its goal is to provide developers with useful coding examples that can solve everyday problems, automate repetitive tasks, or serve as learning exercises. The repository encourages community contributions, allowing developers to add their own scripts and improve existing ones through pull requests. Examples include scripts for sentiment analysis, data scraping, web automation, log analysis, and interactive applications such as games or voice-controlled tools. ... -
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Agent SOP
Natural language workflows for AI agents
...It defines reusable SOP templates that agents can instantiate with context-specific parameters, allowing organizations to codify best practices for customer support, data processing, document workflows, or incident response. The framework supports monitoring and state tracking, so external systems can observe progress, intervene if necessary, and log outcomes for compliance or auditing. Integrations with common messaging and task orchestration systems enable SOP agents to interact with email, ticket queues, and databases as part of their workflows. -
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LangExtract
A Python library for extracting structured information
...LangExtract supports a wide range of models, including Google Gemini, OpenAI GPT, and local LLMs via Ollama, making it adaptable to different deployment environments and compliance needs. The system excels at handling long documents using optimized chunking, multi-pass extraction, and parallel processing to ensure both high recall and structured consistency. -
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Zeep
A Python SOAP client
...Parsing the XML documents is done by using the lxml library. This is the most performant and compliant Python XML library currently available. This results in major speed benefits when processing large SOAP responses. The SOAP specifications are unfortunately really vague and leave a lot of things open for interpretation. -
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QMUI iOS
A solution to improve the efficiency of project UI development
QMUI iOS is designed to help quickly build an iOS project with basic design restoration effects, while using the rich controls and compatible processing provided by itself, so that developers can focus on business needs without spending energy on the design of the basic code. Whether it is the creation of a new project or the maintenance of an existing project, development efficiency and project quality can be greatly improved. You only need to modify a configuration table to adjust the global style of the App, including colors, navigation bars, input boxes, lists, etc. ...
