Search Results for "processing" - Page 13
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Showing 6570 open source projects for "processing"
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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FFmpegAndroid
FFmpeg implements video cropping, watermarking, transcoding
...It integrates OpenGL-based filters and GPUImage effects to enhance video processing performance and visual output. Beyond implementation, the repository includes detailed documentation on FFmpeg commands, JNI integration, and multimedia protocols, offering both practical tools and educational resources. With support for decoding, encoding, and rendering pipelines, it acts as a full-stack reference for Android multimedia engineering. -
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p5.js
Client-side JS platform for artists, designers and students to express
...However, you’re not limited to your drawing canvas. You can think of your whole browser page as your sketch, including HTML5 objects for text, input, video, webcam, and sound. p5.js is an interpretation of Processing for today’s web. We hold events and operate with support from the Processing Foundation. For self-learners and animators, artists, game makers, creative-technologists, curriculum planners, designers, graphic designers, graphics editors, learning experience designers, project managers, software engineer, student, teachers, university faculty members, visualization researchers, etc. -
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Dozzle
Realtime log viewer for containers. Supports Docker, Swarm and K8s
Dozzle is a lightweight, self-hosted web application for real-time viewing and monitoring of container logs, focused on speed and simplicity rather than building a full log storage pipeline. Instead of indexing or storing logs, it connects to your container runtime and streams live output so you can diagnose issues as they happen. The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live... -
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Triton Inference Server
The Triton Inference Server provides an optimized cloud
...Triton delivers optimized performance for many query types, including real-time, batched, ensembles, and audio/video streaming. Provides Backend API that allows adding custom backends and pre/post-processing operations. Model pipelines using Ensembling or Business Logic Scripting (BLS). HTTP/REST and GRPC inference protocols based on the community-developed KServe protocol. A C API and Java API allow Triton to link directly into your application for edge and other in-process use cases. -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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learn-ffmpeg
Learn audio and video knowledge, organize materials
learn-ffmpeg is an educational repository that provides a structured collection of tutorials, notes, and examples for mastering FFmpeg and multimedia processing concepts. It covers a wide range of topics, including encoding, decoding, transcoding, and streaming workflows. The repository is designed to guide users from basic command usage to advanced media pipeline development. It includes practical examples that demonstrate how to apply FFmpeg in real-world scenarios. The content is organized to serve both as a learning resource and a quick reference for developers. ... -
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conflux-rust
The official Rust implementation of Conflux protocol
conflux-rust is the Rust implementation of Conflux, a high-performance Layer 1 blockchain designed to deliver high throughput without compromising decentralization or security. Conflux introduces a Tree-Graph consensus mechanism that allows parallel block processing while maintaining consensus integrity. This implementation focuses on performance and is compatible with the Ethereum Virtual Machine (EVM), enabling developers to deploy smart contracts written for Ethereum. It provides a robust foundation for dApps, DeFi, and Web3 applications in regions requiring regulatory compliance and scalability. -
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TorchAudio
Data manipulation and transformation for audio signal processing
...By supporting PyTorch, torchaudio follows the same philosophy of providing strong GPU acceleration, having a focus on trainable features through the autograd system, and having consistent style (tensor names and dimension names). Therefore, it is primarily a machine learning library and not a general signal processing library. The benefits of PyTorch can be seen in torchaudio through having all the computations be through PyTorch operations which makes it easy to use and feel like a natural extension. -
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Hangfire
An easy way to perform background job processing
...Once a background job was created without any exception, Hangfire takes the responsibility to process it with the at least once semantics. Although the default installation uses SQL Server and polling technique to fetch jobs, you can leverage MSMQ or Redis extensions to reduce the processing latency to minimum. Background method calls and their arguments are serialized and may overcome the process boundaries. Job filters allow you to add custom features to the background processing in a way similar to ASP.NET MVC action filters. -
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Swagger Core
Examples, server integrations for generating Swagger API Specification
...An extension mechanism allows to further customize and pre/post processing result. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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NeMo Retriever Library
Document content and metadata extraction microservice
...It processes various document types by splitting them into components such as text, tables, charts, and images, and then applies OCR and contextual analysis to convert them into structured data formats. The system is built on NVIDIA NIM microservices, enabling high-performance parallel processing and efficient handling of large datasets. It supports multiple extraction strategies for different document formats, balancing accuracy and throughput depending on the use case. Additionally, it can generate embeddings for extracted content and integrate with vector databases like Milvus, making it well-suited for retrieval-augmented generation pipelines. -
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VidCoder
A Blu-ray, DVD and video file transcoder for Windows
...Because VidCoder integrates and automates the invocation of complex backend tools, it lowers the barrier for users who may not be comfortable with command-line workflows — offering preset profiles, configuration dialogs for bitrate, codecs, subtitles, and other media parameters. It supports batch processing so multiple videos can be queued for conversion, which is a big plus for users handling large video libraries or doing bulk transcoding. -
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Frigate
NVR with realtime local object detection for IP cameras
Frigate - NVR With Realtime Object Detection for IP Cameras A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a Google Coral Accelerator is optional, but highly recommended. The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead. -
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OnlyOffice Web
Perform common file preview and editing via the web
OnlyOffice Web is a browser-based document editing platform built on top of OnlyOffice that allows users to view and edit files entirely on the client side without requiring a backend server. It is designed with a privacy-first approach, ensuring that all document processing occurs locally in the browser, which prevents sensitive data from being uploaded or stored externally. The application supports a wide range of file formats, including DOCX, XLSX, PPTX, and CSV, making it versatile for handling common office documents. It offers a smooth and responsive editing experience, leveraging modern web technologies to replicate the functionality of traditional desktop office suites. ... -
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Cactus
Low-latency AI inference engine optimized for mobile devices
...Cactus emphasizes efficient memory usage through techniques such as zero-copy computation graphs and quantized model formats, allowing large models to run within the constraints of mobile hardware. It supports a wide range of AI tasks including text generation, speech-to-text, vision processing, and retrieval-augmented workflows through a unified API interface. A notable feature of Cactus is its hybrid execution model, which can dynamically route tasks between on-device processing and cloud services when additional compute is required. -
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OCRBase
MD/.JSON Document OCR and structured data extraction API
...It includes real-time job progress updates via WebSockets, which makes it easier to integrate into UIs, dashboards, or ingestion systems where users need feedback on long-running document processing. -
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Open Interpreter
A natural language interface for computers
Open Interpreter is an open-source tool that provides a natural-language interface for interacting with your computer. It lets large language models (LLMs) run code locally (Python, JavaScript, shell, etc.), enabling you to ask your computer to do tasks like data analysis, file manipulation, browsing, etc. in human terms (“chat with your computer”), with safeguards. Runs locally or via configured remote LLM servers/inference backends, giving flexibility to use models you trust or have... -
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Memobase
Fast backend for long-term AI user memory via structured profiles
...Instead of relying purely on traditional embedding-based retrieval or RAG systems, Memobase uses profile and timeline structures to deliver memory that reflects user context efficiently and meaningfully. The system focuses on three principal performance metrics: high search performance, reduced large language model (LLM) costs through batch processing techniques, and low latency with minimal SQL operations. Memobase supports integration with existing LLM workflows via APIs and SDKs (including Python, Node, and Go), making it easy to adopt within diverse application stacks. -
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tidytext
Text mining using tidy tools
tidytext brings tidy data principles to text mining by converting text into a tidy data frame format. It provides tools for tokenization, sentiment analysis, n‑gram creation, and term‑document matrices, enabling interoperability with dplyr, ggplot2, and other tidyverse workflows. -
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Superlinked
Superlinked is a Python framework for AI Engineers
Superlinked is a Python framework designed for AI engineers to build high-performance search and recommendation applications that combine structured and unstructured data. -
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DataDreamer
DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models
DataDreamer is a tool designed to assist in the generation and manipulation of synthetic data for various applications, including testing and machine learning. -
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LightAutoML
Fast and customizable framework for automatic ML model creation
LightAutoML is an automated machine learning (AutoML) framework optimized for efficient model training and hyperparameter tuning, focusing on both tabular and text data. -
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Gson
A Java serialization/deserialization library to convert Java Objects
...It enables serialization and deserialization of Java classes to and from JSON format, handling complex and generic types, nulls, custom naming policies, and more. Gson is lightweight, easy to use, and does not require annotation-based configuration, making it a popular choice for JSON processing in Java applications. -
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Superstreamer
An open, scalable, online streaming setup
Superstreamer is a self-hosted video processing and delivery platform designed to simplify the entire workflow from media ingestion to adaptive playback. It provides developers with tools to transcode video files into multiple quality levels and package them into streaming-ready formats such as HLS playlists. The system enables dynamic playlist generation, allowing insertion of elements like ads or bumpers directly into video streams. -
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hash-wasm
Lightning fast hash functions using hand-tuned WebAssembly binaries
...The library supports a wide range of algorithms, including MD5, SHA variants, BLAKE, Argon2, bcrypt, and xxHash, making it suitable for applications ranging from security to data processing. By compiling optimized C implementations into WebAssembly, hash-wasm achieves significantly better performance compared to pure JavaScript alternatives while maintaining portability across platforms. It supports both simple one-shot hashing and advanced streaming modes, allowing developers to process large datasets incrementally. ... -
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Desloppify
Agent harness to make your slop code well-engineered and beautiful
...This makes it especially useful in workflows where AI-generated text needs to be refined before publication or use in production. It may also support integration into pipelines, allowing automatic post-processing of outputs. The project reflects a growing need to manage and optimize AI-generated content rather than simply produce it. Overall, desloppify acts as a refinement layer that enhances clarity and usability of textual outputs.
