Showing 11 open source projects for "process metrics"

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    Ship Agents Faster

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    One Monitoring Tool for IT, OT and Cloud | Free Trial

    Vendor-agnostic monitoring across on-prem servers, cloud platforms and OT devices, all in one dashboard. No more tool sprawl.

    Modern infrastructure spans data centers, cloud platforms and factory floors, and every blind spot between them is a risk. PRTG supports SNMP, WMI, SSH and other standard protocols to monitor IT, OT and hybrid environments through one customizable dashboard. Build the views your team needs, from network health to application performance, without switching tools. Try PRTG free for 30 days now.
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  • 1
    GPU Hot

    GPU Hot

    Real-time NVIDIA GPU dashboard

    GPU Hot is an open-source, lightweight monitoring dashboard designed to provide real-time visibility into NVIDIA GPU performance across single machines or entire clusters. The project offers a self-hosted web interface that streams hardware metrics directly from GPU servers, enabling developers, ML engineers, and system administrators to observe GPU utilization and system behavior in real time through a browser. The dashboard collects and displays a wide range of performance metrics...
    Downloads: 2 This Week
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  • 2
    Node.js Testing Best Practices

    Node.js Testing Best Practices

    Beyond the basics of Node.js testing

    ...It covers API testing, contract testing, and persistence-layer strategies that avoid coupling tests to fragile implementation details. The material explains how to structure tests around process boundaries—HTTP, queues, cron jobs—while keeping fast feedback cycles through selective integration tests and reliable test doubles. It dives into topics like test containers, ephemeral databases, and idempotent fixtures to ensure deterministic runs in CI. Observability is treated as part of testing: logs, metrics, and tracing make failures diagnosable instead of mysterious. ...
    Downloads: 0 This Week
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  • 3
    Bull

    Bull

    Queue package for handling distributed jobs and messages in NodeJS

    The fastest, most reliable, Redis-based queue for Node. Carefully written for rock solid stability and atomicity. If you want to start using the next major version of Bull written entirely in Typescript you are welcome to the new repo here. Otherwise you are very welcome to still use Bull, which is a safe, battle tested codebase. If you need high quality production Redis instances for your Bull projects, please consider subscribing to RedisGreen, leaders in Redis hosting that works perfectly...
    Downloads: 0 This Week
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  • 4
    gtop

    gtop

    System monitoring dashboard for terminal

    gtop is a tool that helps you monitor your systems through a dashboard user interface, and it is optimized to monitor and visualize terminals. gtop requirements are to have Node.js version 8 or higher. It supports Linux, OSX, and Windows (with partial support). You need to assign host net and pid to access the metrics in the host machine. Start gtop with the gtop command. To stop gtop use q, or ctrl+c in most shell environments. You can sort the process table by pressing 'p' for Process Id, 'c' for CPU usage, and 'm' for Memory usage. If you see question marks or other different characters, try to run it with the environment variables provided in the documentation. gtop is released under the MIT license.
    Downloads: 1 This Week
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

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  • 5
    Manifold ML

    Manifold ML

    A model-agnostic visual debugging tool for machine learning

    Manifold is a model-agnostic visual debugging tool for machine learning. Understanding ML model performance and behavior is a non-trivial process, given the intrisic opacity of ML algorithms. Performance summary statistics such as AUC, RMSE, and others are not instructive enough to identify what went wrong with a model or how to improve it. As a visual analytics tool, Manifold allows ML practitioners to look beyond overall summary metrics to detect which subset of data a model is inaccurately predicting. ...
    Downloads: 0 This Week
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  • 6
    Node.JS Course

    Node.JS Course

    Materials, slides and other goodies from my Node.JS courses

    This repository accompanies a hands-on Node.js course that builds production-minded skills through projects and exercises rather than slideware. It walks learners from fundamentals to pragmatic topics such as configuration management, process models, database integration, caching, and message queues. Security practices—input validation, secrets handling, and least-privilege IAM—are woven into examples instead of tacked on at the end. The curriculum also covers operational concerns like logging, metrics, health checks, and deployment pipelines so students can ship services with confidence. ...
    Downloads: 0 This Week
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  • 7
    nodejs-dashboard

    nodejs-dashboard

    Telemetry dashboard for node.js apps from the terminal

    nodejs-dashboard is a terminal-based telemetry dashboard that provides real-time insight into Node.js application behavior during development. It overlays an interactive monitoring interface on top of a running Node process, displaying metrics such as event loop activity, memory usage, and request throughput. The tool can be injected into applications with minimal or no code changes by using Node’s preload flag, making adoption straightforward for developers. Its interface uses Unicode Braille characters to render compact graphs directly in the terminal, creating a highly responsive visual experience. nodejs-dashboard is primarily aimed at local development and debugging rather than production observability, helping engineers quickly identify performance bottlenecks. ...
    Downloads: 0 This Week
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  • 8
    Node.js chaos monkey

    Node.js chaos monkey

    Extremly naughty chaos monkey for Node.js

    node-chaos-monkey brings chaos engineering to Node.js by injecting controlled failures into running services to validate resilience. It lets teams rehearse real-world incidents—latency spikes, random process exits, resource exhaustion—and observe how circuits, retries, and backoff strategies behave. The tool is designed to be safe and configurable, enabling narrow blast radii and scheduled experiments during non-critical windows. It integrates naturally with staging or even carefully guarded...
    Downloads: 0 This Week
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  • 9

    Viva Visitor & Volunteer ID tracking

    track visitors and volunteers to a facility with hour tracking

    A visitor management and volunteer software program created to help schools & businesses track, log and autonomously process visitors and volunteers. It logs visitors & volunteers in & out, tracks volunteer hours for specifics subjects and groups of subjects. Will also track hours of members in group form. Provides volunteer hour statements, and overall group metrics. Built to use sustainable barcodes or printed labels. Different classes and metrics available. ...
    Downloads: 0 This Week
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    Build Data Resilience - Take the Assessment Today

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  • 10
    Web VMStat

    Web VMStat

    Prettify vmstats in your browser

    Web VMStat is a small web application that displays live Linux system statistics in the browser. It takes the type of data normally shown by the vmstat command and presents it in a cleaner visual interface. The app streams system metrics through WebSocket communication using websocketd. It charts those metrics with Smoothie Charts, giving users a live view of CPU, memory, I/O, swap, and other system activity. The project is meant as a lightweight process that can be installed on machines a user wants to monitor. Overall, it is a useful demo and monitoring utility for turning command-line Linux performance data into a more readable web dashboard.
    Downloads: 0 This Week
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  • 11
    Roomba

    Roomba

    A Node.js tool to examine the correctness of Open Data Metadata

    Linked Open Data (LOD) has emerged as one of the largest collection of interlinked datasets on the web. Benefiting from this mine of data requires the existence of descriptive information about each dataset in the accompanying metadata. Such meta information is currently very limited to few data portals where they are usually provided manually thus giving little or bad quality insights. To address this issue, we propose a scalable automatic approach for extracting, validating and generating...
    Downloads: 0 This Week
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