Search Results for "processing"
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Showing 450 open source projects for "processing"
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Award-Winning Medical Office Software Designed for Your SpecialtyRXNT is an ambulatory healthcare technology pioneer that empowers medical practices and healthcare organizations to succeed and scale through innovative, data-backed, AI-powered software.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if... -
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Riemann
A network event stream processing system, in Clojure
Riemann aggregates events from your servers and applications with a powerful stream processing language. Send an email for every exception in your app. Track the latency distribution of your web app. See the top processes on any host, by memory and CPU. Combine statistics from every Riak node in your cluster and forward to Graphite. Track user activity from second to second. Riemann streams are just functions which accept an event. -
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ThingsBoard
Device management, data collection, processing and visualization
...Collect and store telemetry data in a scalable and fault-tolerant way. Visualize your data with built-in or custom widgets and flexible dashboards. Share dashboards with your customers. Define data processing rule chains. Transform and normalize your device data. Raise alarms on incoming telemetry events, attribute updates, device inactivity, and user actions. -
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Serial Studio
Multi-purpose serial data visualization & processing
Serial Studio is a simple, multi-platform, and multi-purpose serial data visualization program that allows embedded developers to visualize, analyze, and present data generated from their projects and devices while avoiding the need to write project-specific visualization software. Over my many CanSat-based competitions, I found myself writing and maintaining several Ground Station software for each program. However, I decided that it would be easier and more sustainable to define one... -
The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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SigLens
100x Efficient Log Management than Splunk
Siglens is an open-source signal analysis toolkit designed for processing and visualizing time-series data, commonly used in scientific and engineering applications. -
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WiFi DensePose
Turn WiFi signals into real-time human pose estimation and detection
WiFi DensePose is a production-oriented implementation of a WiFi-based human pose estimation system that enables real-time full-body tracking using wireless signals rather than cameras. The project demonstrates how commodity mesh routers and signal processing techniques can be leveraged to infer dense human pose information, even through obstacles such as walls. It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. The repository includes components for data processing, model inference, and real-time visualization, making it suitable for research and experimental deployments. ... -
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J2ME-Loader
A J2ME emulator for Android
...Enabling filtering in some cases can greatly reduce performance. Disable this option if the game is too slow. Image flickering issues can be fixed by enabling the "Immediate processing mode" option. -
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Akka
Build concurrent, distributed, and resilient message-driven apps
...Load balancing and adaptive routing across nodes. Event Sourcing and CQRS with Cluster Sharding. Distributed Data for eventual consistency using CRDTs. Asynchronous non-blocking stream processing with backpressure. -
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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. -
Premier Construction SoftwareRated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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Sidekiq
Simple, efficient background processing for Ruby
Sidekiq is a background job processing framework for Ruby that leverages multithreading to handle thousands of jobs concurrently with minimal memory overhead. It integrates seamlessly with Rails and other Ruby applications, letting developers offload tasks such as email delivery, file processing, and API calls so the main web process stays responsive. Sidekiq uses Redis as its backend, storing job queues, scheduling information, and retries, with support for delayed jobs and exponential backoff on failures. ... -
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Performance Co-Pilot (PCP)
Performance Co-Pilot
Performance Co-Pilot (PCP) provides a framework and services to support system-level performance monitoring and management. It presents a unifying abstraction for all of the performance data in a system, and many tools for interrogating, retrieving and processing that data. PCP is a feature-rich, mature, extensible, cross-platform toolkit supporting both live and retrospective analysis. The distributed PCP architecture makes it especially useful for those seeking centralized monitoring of distributed processing. -
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fluentbit
Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX
Fluent Bit is a super-fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments. A robust, lightweight, and portable architecture for high throughput with low CPU and memory usage from any data source to any destination. Proven across distributed cloud and container environments. Highly available with I/O handlers to store data for disaster recovery. Granular management of data parsing and routing.... -
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File-Type
Detect the file type of a file, stream, or data
File-Type is a Node.js library that detects the file type of a Buffer or Uint8Array by examining its binary signature, supporting a wide range of file formats. -
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Grafana Agent
Vendor-neutral programmable observability pipelines
...It is designed to be flexible, performant, and compatible with multiple ecosystems such as Prometheus and OpenTelemetry. Grafana Agent is based on components. Components are wired together to form programmable observability pipelines for telemetry collection, processing, and delivery. -
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JSNES
A JavaScript NES emulator
JSNES is a JavaScript-based emulator that replicates the functionality of the Nintendo Entertainment System (NES), enabling classic games to run directly in web browsers or Node.js environments. It implements the core components of NES hardware, including the CPU, graphics processing unit, and audio system, to deliver an accurate emulation experience. The project is designed as a library, allowing developers to embed emulation capabilities into web applications or custom interfaces. It includes support for rendering graphics via canvas, handling audio output, and processing input from keyboards or gamepads. ... -
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Vector
A high-performance observability data pipeline
Vector is a Rust‑based, high‑performance observability data pipeline tool (agent + aggregator) designed to collect, transform, and route logs and metrics at scale. Created by Datadog, it aims to be the only tool needed from ingestion to vendor output, providing cost-efficient, safe, and flexible telemetry processing. -
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HStreamDB
HStreamDB is an open-source, cloud-native streaming database
...You can also replace message brokers with HStreamDB and everything you do with message brokers can be done better with HStreamDB. HStreamDB provides built-in support for event time-based stream processing. You can use your familiar SQL to perform basic filtering and transformation operations, statistics and aggregation based on multiple kinds of time windows and even joining between multiple streams. With connectors provided, you can easily integrate HStreamDB with other external systems, such as MQTT Broker, MySQL, Redis and ElasticSearch. ... -
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IPython Kernel for Jupyter
IPython Kernel for Jupyter
This package provides the IPython kernel for Jupyter. IPython provides a rich toolkit to help you make the most of using Python interactively. -
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Clock Signal
A latency-hating emulator of: the Acorn Electron, BBC Micro
...One of its most technically distinctive features is its signal-processing-based rendering pipeline, which simulates original video outputs such as composite signals instead of simply drawing pixels, resulting in highly accurate visual artifacts. CLK also prioritizes extremely low latency by decoupling audio and video pipelines and leveraging modern display capabilities. -
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RuView
Turn WiFi signals into real-time human sensing and spatial awareness.
...Unlike traditional vision systems, RuView operates without cameras, wearables, or cloud connectivity, making it a privacy-first sensing solution. The system runs on low-cost hardware such as ESP32 sensor meshes and performs signal processing and machine learning directly at the edge. By learning the RF signature of each environment over time, RuView adapts automatically to different spaces and improves its sensing accuracy. Designed for applications ranging from healthcare monitoring to disaster response, it enables spaces to gain spatial awareness using the radio signals already present in the environment. -
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BOINC
Open-source software for volunteer computing and grid computing
BOINC (Berkeley Open Infrastructure for Network Computing) is an open-source platform that enables distributed computing using volunteered computer resources. It allows researchers to harness massive amounts of processing power from public participants for scientific projects such as climate research, disease modeling, and astrophysics. BOINC supports cross-platform deployment and is backed by a large, active community. -
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Logstash
Centralize, transform and stash your data
Logstash is a server-side data processing pipeline that dynamically ingests data from numerous sources, transforms it, and ships it to your favorite “stash” regardless of format or complexity. It supports and ingests data of all shapes, sizes and sources, dynamically transforms and prepares this data, and transports it to the output of your choice. Logstash is extensible, with over 200 plugins available to let you create and configure your pipeline how you choose. -
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Hazelcast
Open-source distributed computation and storage platform
...When you add new nodes to the cluster, the data is automatically rebalanced across the cluster and currently running computational tasks (known as jobs) snapshot their state and scale with processing guarantees. -
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jQuery DataTables API for Laravel
jQuery DataTables API for Laravel
This package is created to handle server-side works of DataTables jQuery Plugin via AJAX option by using Eloquent ORM, Fluent Query Builder or Collection. To enable debugging mode, just set APP_DEBUG=true and the package will include the queries and inputs used when processing the table. Please avoid using php artisan serve when developing with the package. There are known bugs when using this where Laravel randomly returns a redirect and 401 (Unauthorized) if the route requires authentication and a 404 NotFoundHttpException on valid routes. -
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Reth
Implementation of the Ethereum protocol, in Rust
reth is a modular, blazing-fast Ethereum execution client written in Rust, developed by Paradigm. It implements the Ethereum protocol from scratch with a focus on speed, security, and modularity, providing a modern alternative to legacy clients like Geth or Besu. reth is optimized for running full nodes, indexing, and light clients, and is intended to be integrated easily into Ethereum infrastructure. With parallelized execution and efficient state management, reth supports both archival and...
