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15 रिपॉजिटरी

Awesome GitHub RepositoriesUsage Reporting

Tools for generating historical activity reports and custom data queries for performance insights.

Distinct from Statistical Analysis Tools: Distinct from Statistical Analysis Tools: focuses on historical activity reporting rather than general statistical calculations.

Explore 15 awesome GitHub repositories matching data & databases · Usage Reporting. Refine with filters or upvote what's useful.

Awesome Usage Reporting GitHub Repositories

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • davila7/claude-code-templatesdavila7 का अवतार

    davila7/claude-code-templates

    20,933GitHub पर देखें↗

    Claude Code Templates is a comprehensive framework for orchestrating specialized AI agents and automating development workflows within local environments. It provides a structured system for defining, configuring, and deploying AI personas that handle specific technical tasks, ranging from backend architecture and frontend implementation to security auditing and infrastructure management. The project distinguishes itself through a configuration-driven approach that allows teams to standardize development environments and share reusable agent definitions across projects. It includes a robust C

    Generates comprehensive reports on historical activity, including annual summaries and custom data queries.

    Pythonanthropicanthropic-claudeclaude
    GitHub पर देखें↗20,933
  • activitywatch/activitywatchActivityWatch का अवतार

    ActivityWatch/activitywatch

    17,912GitHub पर देखें↗

    ActivityWatch is an open-source, privacy-focused time tracking platform that automatically records computer usage patterns to provide a comprehensive history of personal digital activity. It functions as a background service that monitors system metrics, application focus, and user input to build a detailed log of how time is allocated across various tasks and projects. The platform distinguishes itself through a local-first architecture that stores all activity data as structured files on the user's machine, ensuring that sensitive usage history remains private and accessible offline. It sup

    Allows retrieval and filtering of historical usage logs to generate custom reports.

    Pythonactivitywatchafkanalytics
    GitHub पर देखें↗17,912
  • video-dev/hls.jsvideo-dev का अवतार

    video-dev/hls.js

    16,767GitHub पर देखें↗

    hls.js is a JavaScript player library that enables HTTP Live Streaming playback in web browsers using the Media Source Extensions API. It functions as an adaptive bitrate streaming engine and a media streamer that manages the buffering and playback of video segments. The library features specialized capabilities for low latency streaming and digital rights management, allowing it to decrypt protected content via Encrypted Media Extensions. It includes a metadata processor for handling ID3 tags and date-range elements, as well as a pluggable loader interface to replace default network request

    Sends player state and performance metrics to servers via request headers or query arguments.

    TypeScript
    GitHub पर देखें↗16,767
  • cachethq/cachetcachethq का अवतार

    cachethq/cachet

    14,932GitHub पर देखें↗

    Cachet is a self-hosted, open-source status page system designed to communicate service uptime, incident history, and infrastructure performance to end users. It provides a centralized dashboard for managing the operational lifecycle of system components, tracking service disruptions, and scheduling maintenance windows. The platform distinguishes itself through a comprehensive RESTful API that enables programmatic status page management and automated incident reporting. It supports deep integration with external monitoring tools, allowing for the synchronization of performance metrics and the

    Transmits anonymous usage telemetry to help identify patterns and guide development.

    PHPcachetlaravelphp
    GitHub पर देखें↗14,932
  • ai/browserslistai का अवतार

    ai/browserslist

    13,541GitHub पर देखें↗

    Browserslist is a browser compatibility configuration tool and a shared specification that synchronizes target browser versions across front-end build tools. It serves as a centralized system for defining browser support, ensuring consistency across CSS autoprefixers, JavaScript transpilers, and linting tools. The tool integrates browser usage analytics to determine target lists based on real-world traffic statistics and global usage data. It also functions as a user agent regex generator, converting browser version queries into regular expressions for matching and validating browser user age

    Uses global and custom traffic reports to determine the necessary browser versions for support.

    JavaScript
    GitHub पर देखें↗13,541
  • aws/aws-cdkaws का अवतार

    aws/aws-cdk

    12,817GitHub पर देखें↗

    The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It

    Generates historical activity reports and custom data queries for cost and usage insights.

    TypeScriptawscloud-infrastructurehacktoberfest
    GitHub पर देखें↗12,817
  • ryoppippi/ccusageryoppippi का अवतार

    ryoppippi/ccusage

    10,826GitHub पर देखें↗

    This project is a command-line utility designed to monitor and analyze token consumption and financial expenditure for AI coding assistants. By parsing local session logs directly on the user's machine, it provides a privacy-focused way to track development activity without transmitting sensitive data to external servers. The tool distinguishes itself through its ability to aggregate disparate log formats from multiple coding assistants into a unified, schema-agnostic representation. It features a decoupled pricing engine that allows users to apply custom model-specific cost multipliers, over

    Produces structured summaries of activity grouped by day, month, or session with support for compact terminal views.

    TypeScript
    GitHub पर देखें↗10,826
  • pi-hole/docker-pi-holepi-hole का अवतार

    pi-hole/docker-pi-hole

    10,760GitHub पर देखें↗

    This project provides a containerized DNS sinkhole and network-wide traffic filtering solution. It functions as a central network resolver that intercepts domain queries, allowing users to block advertisements, trackers, and malicious domains by returning null responses to connected devices. The platform distinguishes itself through its integrated DHCP server and comprehensive management capabilities, which allow for automated IP address allocation and granular control over network traffic. It supports complex filtering through regular expression matching, hierarchical rule prioritization, an

    Calculates and reports network activity statistics for individual clients based on historical database records.

    Shellad-blockerdnsdocker-container
    GitHub पर देखें↗10,760
  • hazelcast/hazelcasthazelcast का अवतार

    hazelcast/hazelcast

    6,570GitHub पर देखें↗

    Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

    Transmits diagnostic data about cluster configuration and performance to help improve product development.

    Javabig-datacachingdata-in-motion
    GitHub पर देखें↗6,570
  • maciek-roboblog/claude-code-usage-monitorMaciek-roboblog का अवतार

    Maciek-roboblog/Claude-Code-Usage-Monitor

    6,617GitHub पर देखें↗

    Views token and cost data across real-time, daily, and monthly timeframes for comprehensive budget planning.

    Pythonaianalyticsclaude
    GitHub पर देखें↗6,617
  • helicone/heliconeHelicone का अवतार

    Helicone/helicone

    5,830GitHub पर देखें↗

    Helicone is an AI gateway and observability platform designed to intercept, manage, and monitor interactions with large language models. By acting as a reverse-proxy, it provides a centralized layer for routing requests across multiple AI providers, allowing developers to maintain consistent application logic while gaining deep visibility into model performance, usage, and costs. The platform distinguishes itself through a robust suite of traffic management and prompt engineering tools. It enables policy-driven control, including automatic failover between providers, rate limiting, and edge-b

    Provides weekly automated summaries of application performance and usage patterns for stakeholders.

    TypeScript
    GitHub पर देखें↗5,830
  • dash-industry-forum/dash.jsDash-Industry-Forum का अवतार

    Dash-Industry-Forum/dash.js

    5,528GitHub पर देखें↗

    dash.js is a browser-based JavaScript player for streaming adaptive video and audio content using the MPEG-DASH standard. It functions as an adaptive bitrate streaming client that adjusts media quality in real time based on network conditions and buffer levels. The project includes a playback engine capable of decrypting protected content through digital rights management systems and a specialized player for reducing latency in live broadcast events. It also serves as a playback metrics engine for monitoring and reporting real-time quality-of-experience data. The software covers a broad rang

    Sends standardized playback metrics and quality-of-experience data back to a server.

    JavaScriptabradaptive-bitrate-streamingcmaf
    GitHub पर देखें↗5,528
  • celzero/rethink-appcelzero का अवतार

    celzero/rethink-app

    4,580GitHub पर देखें↗

    This project is a network security tool providing an application network firewall, a DNS blocklist manager, and a VPN client with multi-hop capabilities. It functions as a traffic controller that allows or blocks internet access for specific applications on a device. The system distinguishes itself through a DNS-over-HTTPS firewall and traffic obfuscation tools that inject random packets to mask communication patterns and bypass regional internet censorship. It utilizes multi-hop routing to hide the origin of network traffic by chaining connections through multiple remote servers. The softwa

    Tracks and reports the connection frequency and destinations for individual applications.

    Kotlinandroidandroid-appandroid-application
    GitHub पर देखें↗4,580
  • gam-team/gamGAM-team का अवतार

    GAM-team/GAM

    4,206GitHub पर देखें↗

    GAM is a command-line tool for administering Google Workspace and Cloud Identity. It translates command-line arguments into structured API calls, enabling administrators to manage users, groups, organizational units, and domain settings across a Google Workspace environment. The tool handles authentication through OAuth2 flows, service accounts, and workload identity federation, and supports multi-tenant configurations for managing multiple domains or cloud projects from a single installation. GAM distinguishes itself through its batch processing and automation capabilities. It can process la

    Collects and exports usage data and quota information for individual users or groups into CSV format.

    Pythongamgooglegoogle-admin-sdk
    GitHub पर देखें↗4,206
  • nextdns/nextdnsnextdns का अवतार

    nextdns/nextdns

    4,072GitHub पर देखें↗

    NextDNS एक नेटवर्क DNS क्लाइंट और प्रॉक्सी है जो एक लोकल रिजॉल्वर, फॉरवर्डर और DNS-over-HTTPS प्रॉक्सी के रूप में कार्य करता है। इसका प्राथमिक उद्देश्य गोपनीयता में सुधार करने और नेटवर्क प्रतिबंधों को बायपास करने के लिए एन्क्रिप्टेड HTTPS ट्रैफिक का उपयोग करके बाहरी प्रोवाइडर्स को लोकल नेम रिजॉल्यूशन रिक्वेस्ट रूट करना है। यह सर्विस mDNS या DHCP के माध्यम से एकत्र किए गए क्लाइंट आइडेंटिटी मेटाडेटा को आउटगोइंग क्वेरीज में एम्बेड करके खुद को अलग करती है, जो प्रति-डिवाइस ट्रैकिंग और अद्वितीय फिल्टरिंग प्रोफाइल लागू करने की अनुमति देती है। इसमें एडवांस्ड रूटिंग लॉजिक है, जिसमें पब्लिक और प्राइवेट रिजॉल्यूशन को संतुलित करने के लिए स्प्लिट-होरिजोन DNS, डोमेन-आधारित क्वेरी स्टीयरिंग, और प्रोवाइडर आउटेज के दौरान स्वचालित रूप से ट्रैफिक को फिर से रूट करने के लिए हेल्थ-चेक फेलओवर मैकेनिज्म शामिल है। व्यापक रूप से, यह प्रोजेक्ट TTL रीराइटिंग और लोकल होस्ट्स फाइल इंटीग्रेशन के माध्यम से DNS ट्रैफिक मैनेजमेंट को कवर करता है, साथ ही ऑटोमैटिक इनवैलिडेशन के साथ इन-मेमोरी कैशिंग के माध्यम से प्रदर्शन अनुकूलन (performance optimization) भी करता है। इसमें नेटवर्क मैनेजमेंट क्षमताएं जैसे कैप्टिव पोर्टल डिटेक्शन और सर्टिफिकेट वैधता सुनिश्चित करने के लिए सिस्टम टाइम सिंक्रोनाइज़ेशन भी शामिल है। इस सर्विस को NixOS में एक डिक्लेरेटिव सिस्टम कंपोनेंट के रूप में तैनात किया जा सकता है या सीधे होम राउटर फर्मवेयर में इंटीग्रेट किया जा सकता है।

    Sends detailed client identifiers to a service provider to enable per-device tracking and policy application.

    Godnsdns-over-https
    GitHub पर देखें↗4,072
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  4. Usage Reporting

सब-टैग एक्सप्लोर करें

  • Client Activity Reporters3 सब-टैग्सUtilities for calculating and reporting network activity statistics per individual client device. **Distinct from Usage Reporting:** Distinct from general usage reporting: focuses on client-specific aggregation and re-calculation of network activity data.
  • Client Identity ReportingTransmission of client identifiers to a central provider for the purpose of applying network-wide policies. **Distinct from Client Activity Reporters:** Focuses on the reporting of identifiers for policy application rather than aggregating activity statistics.
  • Multi-Timeframe Usage ReportsViews token and cost data across real-time, daily, and monthly timeframes for comprehensive budget planning. **Distinct from Usage Reporting:** Distinct from Usage Reporting: focuses on presenting data across multiple specific timeframes rather than general historical activity reporting.
  • Source FiltersMechanisms for isolating usage data by specific service providers or assistant tools. **Distinct from Usage Reporting:** Distinct from general usage reporting: focuses on filtering logic for multi-source data aggregation.