Search Results for "system data" - Page 2
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3972 projects for "system data" with 1 filter applied:
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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DroneBridge for ESP32
Secure & transparent telemetry link with support for WiFi and ESP-NOW
DroneBridge for ESP32 is lightweight firmware that turns inexpensive ESP32 boards into wireless telemetry links for drones and other vehicles. It bridges serial data to standard Wi-Fi, Wi-Fi Long Range, ESP-NOW, or Bluetooth Low Energy. MAVLink, MSP, LTM, and arbitrary serial payloads can be transported through the system. Standard Wi-Fi can reach roughly 150 meters, while compatible ESP-NOW or long-range Wi-Fi setups can extend much farther. Traffic can be encrypted with AES-256-GCM, including broadcast-based ESP-NOW communication. ... -
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mosaicml composer
Supercharge Your Model Training
composer is a deep learning training framework built on PyTorch and designed to make large-scale model training more efficient, scalable, and customizable. At the center of the project is a highly optimized Trainer abstraction that simplifies the management of training loops, parallelization, metrics, logging, and data loading. The framework is intended for modern workloads that may span anything from a single GPU to very large distributed training environments, which makes it suitable for... -
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Apache Doris
MPP-based interactive SQL data warehousing for reporting and analysis
...The main advantages of Doris are the simplicity (of developing, deploying and using) and meeting many data serving requirements in a single system. Doris mainly integrates the technology of Google Mesa and Apache Impala, and it is based on a column-oriented storage engine and can communicate by MySQL client. -
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Pixeltable
Data Infrastructure providing an approach to multimodal AI workloads
Pixeltable is an open-source Python data infrastructure framework designed to support the development of multimodal AI applications. The system provides a declarative interface for managing the entire lifecycle of AI data pipelines, including storage, transformation, indexing, retrieval, and orchestration of datasets. Unlike traditional architectures that require multiple tools such as databases, vector stores, and workflow orchestrators, Pixeltable unifies these functions within a table-based abstraction. ... -
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syslog-ng
Log management solution that improves the performance of SIEM
syslog-ng is the log management solution that improves the performance of your SIEM solution by reducing the amount and improving the quality of data feeding your SIEM. With syslog-ng Store Box, you can find the answer. Search billions of logs in seconds using full text queries with Boolean operators to pinpoint critical logs. syslog-ng Store Box provides secure, tamper-proof storage and custom reporting to demonstrate compliance. syslog-ng can deliver data from a wide variety of sources to... -
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MCreator
Make Minecraft Java Edition mods, Minecraft Bedrock Edition Add-Ons
MCreator is an open-source integrated development environment designed to simplify the process of creating Minecraft mods, add-ons, resource packs, and data packs. The software provides a visual programming environment where users can design mod features using graphical tools instead of writing code manually. Through wizards, block-based programming interfaces, and an integrated editor, MCreator generates the underlying Java or JSON code required for the mod automatically. This approach... -
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Deepnote
Deepnote is a drop-in replacement for Jupyter
...The system supports programming languages such as Python, R, and SQL and allows users to execute and analyze data directly within interactive notebooks. Deepnote emphasizes team-based data science by enabling real-time collaboration similar to shared document editors, allowing multiple users to work simultaneously on the same notebook environment. -
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EFAK-AI
A AI-Driven, Distributed and high-performance monitoring system
...The project focuses on simplifying Kafka administration by offering real-time insights into cluster health, performance metrics, and consumer activity, allowing engineers to quickly diagnose issues and optimize system behavior. It integrates advanced features such as intelligent monitoring, alerting, and automated analysis, enabling proactive management rather than reactive troubleshooting. The platform supports multiple Kafka clusters simultaneously, making it suitable for enterprise environments with distributed data pipelines. It also incorporates AI-driven capabilities that assist with diagnostics, performance recommendations, and conversational querying of system data. -
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The FreeMoCap Project
Free Motion Capture for Everyone
FreeMoCap is an open-source markerless motion capture system that enables users to record human movement using ordinary cameras and convert the footage into usable 3D motion data. The project’s goal is to democratize motion capture by removing the need for expensive suits or proprietary studio hardware, instead relying on computer vision and pose estimation pipelines. It processes synchronized video feeds to reconstruct skeletal motion, which can then be exported for animation, biomechanics research, or creative projects. ... -
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watercrawl
AI-ready web crawler that extracts and structures website content
WaterCrawl is an open source web crawling and data extraction platform designed to transform website content into structured data suitable for machine learning and AI workflows. It enables developers and researchers to crawl web pages, extract meaningful information, and convert it into formats that are easier to process and analyze. It provides a modern crawling system that can automatically navigate links, control crawl depth, and collect content from targeted sections of a website. ... -
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Komari
A simple server monitor tool
Komari is a lightweight, self-hosted server monitoring solution designed to deliver simple and efficient infrastructure visibility with minimal resource overhead. The platform uses a lightweight agent to collect performance data from monitored nodes and presents the results through a clean web interface. Its architecture emphasizes ease of deployment and full data ownership, making it attractive for users who prefer private monitoring environments over managed services. Komari is designed to scale across servers of different sizes while maintaining low CPU and memory consumption. ... -
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Osquery
SQL operating system instrumentation and monitoring framework
Osquery is an operating system instrumentation framework for Windows, OS X (macOS), Linux, and FreeBSD. The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.Osquery queries your devices like a database. ... -
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DevExtreme
HTML5 JavaScript Component Suite for Responsive Web Development
DevExtreme is a comprehensive, enterprise-grade JavaScript UI component suite developed by DevExpress, designed to help developers build highly interactive, data-driven web applications across multiple frontend frameworks. It supports major ecosystems such as Angular, React, Vue, and jQuery, allowing teams to maintain consistency while working across different stacks. The library includes more than 80 components covering data grids, charts, schedulers, forms, editors, and navigation... -
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LibreNMS
Community-based GPL-licensed network monitoring system
Welcome to LibreNMS, a fully featured network monitoring system that provides a wealth of features and device support. LibreNMS is an auto-discovering PHP/MySQL/SNMP-based network monitoring that includes support for a wide range of network hardware and operating systems including Cisco, Linux, FreeBSD, Juniper, Brocade, Foundry, HP, and many more. -
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Spider
High-performance Rust web crawler and scraper for large-scale data
Spider is a high-performance web crawler and web scraping library written in Rust that enables developers to crawl and index websites efficiently. It focuses on speed, concurrency, and reliability by using asynchronous and multi-threaded processing to handle large volumes of web pages. It can rapidly crawl websites to collect links, retrieve page content, and extract structured information from HTML documents. Spider can operate concurrently across many pages, allowing it to gather large... -
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Casibase
Open-source enterprise-level AI knowledge base and MCP
...The platform integrates embedding techniques and prompt engineering to enable semantic knowledge retrieval and conversational interactions with stored data. It also supports integration with existing systems through database synchronization, allowing organizations to migrate data into the platform without major infrastructure changes. -
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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. ... -
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AI-Crawler
Crawl a website starting from a URL, find relevant pages
...Users can define their data requirements in plain English, and the system will interpret those instructions to crawl a domain and extract structured data. The tool supports output formats such as JSON and Markdown, and it can generate or accept schemas to ensure that extracted data is structured according to application needs. It is designed as a low-code solution, reducing the complexity of building and maintaining custom scraping pipelines. -
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User Agents
A JavaScript library for generating random user agents with data
...The dataset is updated automatically on a daily basis, ensuring that generated user agents remain current and relevant over time. In addition to user agent strings, the library can produce detailed browser fingerprint data such as screen size, platform, connection type, and device category. It also includes flexible filtering capabilities that allow developers to generate user agents matching specific criteria such as device type, operating system, or browser version. -
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PDFCraft
PDFCraft is a free, privacy-focused PDF toolkit
PDFCraft is an extensible toolkit for creating, editing, and transforming PDF documents with both a graphical interface and a scripting API, making it useful for users ranging from casual editors to automated document processors. At its core, the project provides a clean, modern UI where you can rearrange pages, annotate text, insert images, fill forms, and export to multiple formats, all without needing a heavyweight commercial PDF suite. But beyond manual editing, it also offers a... -
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UnoPIM
A free and open source Laravel-based PIM software to help businesses
Unopim is an open-source Product Information Management (PIM) system designed to help businesses manage and centralize product data. It provides a structured way to collect, enrich, and distribute product information across multiple channels, improving data consistency and accuracy. Unopim is designed to streamline product data management for e-commerce, retail, and marketing applications, allowing for better data governance and more efficient updates. -
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Youtu-Agent
A simple yet powerful agent framework that delivers with models
Youtu-Agent is an open-source framework developed to simplify the creation, execution, and evaluation of autonomous AI agents. The system focuses on reducing the complexity traditionally involved in configuring large language model agents by providing a modular architecture that separates execution environments, tools, and context management. This structure allows developers to rapidly assemble agent systems capable of performing tasks such as research, file processing, and data analysis. ... -
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C3
The goal of CLAIMED is to enable low-code/no-code rapid prototyping
...These operators can be orchestrated into pipelines that run on modern infrastructure platforms such as Kubernetes and Kubeflow. The system emphasizes reproducibility and scalability, allowing researchers and engineers to reuse existing components and integrate them into larger scientific or data engineering workflows. It also aims to support trusted and explainable AI systems by integrating tools for fairness analysis, explainability, and adversarial robustness. -
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Flowsint
Graph-based OSINT investigation platform w visual relationship mapping
...The platform focuses on reconnaissance and open source intelligence workflows, enabling investigators to map connections between domains, IP addresses, organizations, individuals, and other data points. By presenting these relationships in an interactive graph, Flowsint allows users to quickly identify patterns, associations, and investigative leads that might be difficult to detect through traditional data analysis methods. The system includes automated enrichers that gather additional intelligence about entities such as domain records, social media profiles, network infrastructure, and cryptocurrency activity. ... -
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RunAnywhere
Production ready toolkit to run AI locally
...The toolkit allows developers to integrate language models, speech recognition, and voice synthesis capabilities into mobile or desktop applications while keeping all computation local. By running models entirely on device, the platform eliminates network latency and protects user data because information does not leave the device. The SDK supports popular open-source models such as Llama, Mistral, and Qwen, enabling developers to build AI-powered features such as chat interfaces and voice assistants with minimal external dependencies. It also includes integrated pipelines that combine speech-to-text, large language models, and text-to-speech into a complete conversational system.
