Projects sharing features with Popeye

Python SEO Analyzer is a command-line tool that performs website search engine optimization audits through automated site crawling, technical tag analysis, and structured report generation. The tool combines recursive web traversal and XML sitemap parsing to discover target pages, inspect heading hierarchies, count body words, and detect technical optimization issues across a site. The software includes analytical modules that integrate artificial intelligence models to assess page content. By passing extracted text to external models using secure environment credentials, it evaluates content

Sloth is a plugin-extensible reliability engine that translates concise service level objective specifications into production-ready alerting rules and monitoring dashboards. It automates the generation of multi-window, multi-burn-rate alert rules alongside visual dashboards for metrics platforms like Prometheus and Grafana, establishing uniform monitoring outputs from simple definition formats. The tool provides static definition validation to inspect service configuration files for semantic and structural errors prior to rule generation, enforcing correctness early. It supports an abstract

Gatus is a multi-protocol health checker and automated service alerting tool. It provides a monitoring dashboard for tracking the uptime and health of HTTP, TCP, DNS, and gRPC endpoints, and serves as a Prometheus metrics exporter to track response times and success rates. The project distinguishes itself with a developer-oriented approach to status pages, securing administrative access and dashboards via OpenID Connect and Basic Authentication. It supports complex network environments through SSH tunneling to monitor internal services via bastion hosts and allows remote agents to push health

The Blackbox Exporter is a Prometheus-compatible probe that checks the availability and response correctness of external services over HTTP, HTTPS, DNS, TCP, ICMP, and gRPC. It exposes probe results as Prometheus metrics, including a probe_success indicator for each endpoint checked, making it a dedicated tool for blackbox monitoring of network services. The exporter uses a probe-module configuration system where reusable settings such as protocol, method, and IP version are defined as named YAML modules. These modules are assigned to target groups through Prometheus relabeling rules, which m

This project is a containerized monitoring stack that integrates Prometheus and Grafana to collect and visualize system metrics and time-series data. It provides a complete infrastructure for gathering hardware and operating system performance data from host machines. The stack features an automated provisioning system that loads visualization dashboards and data sources from configuration files during startup. It includes a dedicated alerting pipeline that evaluates rule-based conditions and routes notifications to external platforms like Slack via webhooks. The system covers broad observab

dockprom is a monitoring stack based on Prometheus and Grafana designed to track the performance of Docker containers and their underlying hosts. It functions as a complete solution for gathering real-time metrics and displaying them through a self-hosted dashboard. The project includes a suite of tools for collecting container and host metrics, as well as a discovery tool specifically for automatically identifying and adding tagged EC2 instances to the monitoring configuration. The system covers several observability areas, including time-series data storage and the creation of performance

Blocky is a stateless DNS proxy that functions as a network-wide ad-blocker and content filter. It operates as a single binary or Docker container with no database or persistent state, accepting DNS queries over UDP, TCP, HTTPS, TLS, QUIC, and HTTP/3 through a unified plugin-based query pipeline. The core of the system is a client-group policy engine that assigns devices to named groups and applies per-group blocklists, allowlists, and upstream resolvers, with all configuration changes applied through hot-reloading without requiring a restart. The project distinguishes itself through its modu

Prometheus client_golang is the official Go client library for instrumenting applications with Prometheus metrics. It provides a metric registry that manages and exposes custom application metrics like counters, gauges, histograms, and summaries in Prometheus format for HTTP scraping by a Prometheus server. The library also includes a remote read client that sends PromQL queries to a Prometheus server over HTTP and retrieves time series data programmatically. The library supports creating separate registries to isolate metric namespaces and control which metrics are exposed per scrape endpoin

The CNCF Curriculum is an open-source repository that organizes exam domains and learning paths for CNCF certification courses covering Kubernetes and cloud-native technologies. It structures certification content into weighted domains that reflect exam question distribution, providing a structured study guide for candidates preparing for CNCF certifications. The curriculum is organized around multiple cloud-native domains including networking, security, GitOps, platform engineering, and certification preparation. It teaches cloud-native concepts through the lens of building and operating int

Gitingest is a Git repository analysis and conversion service that transforms code repositories into structured plain-text summaries optimized for large language model consumption. It provides HTTP API endpoints and Python functions to integrate repository processing into AI pipelines and applications, with S3-compatible storage for persisting and retrieving generated digests. The service is packaged as a Docker container with all dependencies bundled for consistent deployment across environments. The project distinguishes itself through asynchronous processing of multiple repositories concur

Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network

Statping is a self-hosted uptime monitoring system and status page tool. It tracks application availability by sending periodic HTTP requests to target endpoints and records the resulting health status to determine if services are online. The system features a public-facing status dashboard that renders real-time availability and operational health for end users. It utilizes a plugin-based notification system to dispatch multi-channel alerts via email, webhooks, or custom providers when services experience downtime. The project includes a Prometheus-compatible metrics exporter for external p

mcp-context-forge is a Model Context Protocol federation gateway that unifies diverse AI tool servers and APIs into a single consistent interface for discovery and execution. It acts as a centralized proxy that aggregates multiple servers and APIs, allowing AI agents to access and invoke a unified set of tools, prompts, and resources. The project distinguishes itself through a multi-protocol translation bridge that converts communication between standard I/O, SSE, gRPC, and REST to enable interoperability between disparate tool servers. It includes a comprehensive LLM evaluation framework for

Garage is a distributed object storage system that provides an S3-compatible API gateway. It is designed to synchronize metadata across distributed nodes using conflict-free replicated data types and Merkle-tree state alignment to maintain cluster-wide consistency. The system ensures data resilience through zone-aware replication, distributing data copies across multiple physical locations. It employs quorum-based request routing and versioned layout management to validate and commit cluster configuration changes. The project covers a broad range of operational capabilities, including automa

RoadRunner is a high-performance application server and process manager designed to serve PHP applications using a persistent worker model. It eliminates bootload overhead and initialization time by keeping application processes alive between requests, acting as a protocol-agnostic proxy that routes traffic to a pool of supervised workers. The server is built with a plugin-based modular architecture, allowing it to be extended with custom Go plugins and compiled into tailored binaries. It distinguishes itself by providing a unified execution model for a wide array of communication protocols,

GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without

Reek is a static code analyzer for Ruby projects designed to identify design flaws and maintainability issues known as code smells. It functions as a quality assurance tool that inspects source code without executing it to find structural weaknesses and architectural debt. The analyzer identifies specific patterns such as large classes, long methods, and uncommunicative naming. It also detects more complex design issues, including feature envy, data clumps, simulated polymorphism, and control coupling. The tool includes capabilities for issue baselining to manage legacy code and configuratio

cAdvisor is a container resource monitoring agent and performance analyzer that collects and exports CPU, memory, network, and disk usage statistics from running containers. It functions as a telemetry tool for discovering containers across various runtimes and serves as a Prometheus-compatible metrics exporter. The agent distinguishes itself by analyzing Linux control groups to provide visibility into resource consumption and limits. It utilizes kernel perf events and NUMA statistics for low-level hardware performance tracking and diagnostics, and it can identify out-of-memory kill events th

Giropops-monitoring is an integrated observability platform designed to monitor the health and performance of containerized infrastructure. It provides a containerized suite that orchestrates the deployment of monitoring services, enabling the collection, storage, and visualization of system metrics across distributed environments. The platform utilizes a pull-based approach to scrape performance data from target nodes, storing these metrics in a specialized time-series database for long-term analysis. Users can inspect this data through interactive, web-based dashboards that render real-time

This project is a multi-cloud security auditor and configuration audit tool designed to identify misconfigurations and vulnerabilities across various cloud service provider environments. It functions as a cloud security posture management tool and a vulnerability remediation engine, allowing users to scan resources against security best practices and industry compliance standards. The system distinguishes itself by combining detection with a remediation engine that executes corrective actions to fix discovered security gaps. It employs a plugin-based audit engine and a provider-agnostic abstr

The Windows Exporter is a service that collects system, performance, and hardware metrics from Windows servers and exposes them via a text-based HTTP endpoint for Prometheus to scrape. It functions as a system metrics collector and service monitor designed to provide observability across Windows environments. The project utilizes a modular collector design that gathers data through Windows Management Instrumentation, native performance counters, and registry keys. It also includes a text-file metrics importer that allows user-defined or third-party business metrics to be read from local plain

Hatchet is an open-source durable workflow engine and task orchestration platform. It provides a framework for building and executing fault-tolerant, multi-step pipelines as directed acyclic graphs (DAGs), with automatic retries, scheduling, and real-time observability. The system is built around durable task checkpointing, which persists execution state after each step so work can resume from the last checkpoint after a worker crash or restart, and it supports event-driven task resumption that pauses a task until a matching external event arrives. The platform distinguishes itself through it

This project is a collection of learning resources and instructional guides for implementing asynchronous messaging patterns using RabbitMQ. It provides a series of tutorials and runnable code examples focused on the Advanced Message Queuing Protocol to help users decouple services via a message broker. The resources cover practical implementation patterns including request-reply, pub-sub, and stream processing. These guides demonstrate how to use official client libraries to balance worker loads, route messages across multiple consumers in a distributed system, and deploy high availability b

Windows-privesc-check is an automated security auditing tool designed to identify misconfigurations and vulnerabilities that may allow for unauthorized privilege escalation on Windows systems. It functions by scanning local system configurations, including file system permissions, registry settings, and service configurations, to detect security weaknesses that could lead to elevated administrative access. The tool distinguishes itself by providing both local auditing and remote assessment capabilities. It can query remote Windows hosts to enumerate network shares, user accounts, and domain t

Granian is a Rust-based HTTP server written specifically to serve Python web applications. It supports the three major Python gateway interfaces—ASGI for asynchronous apps, WSGI for synchronous apps, and RSGI for async requests—while also handling HTTP/1.1, HTTP/2, and WebSocket connections through automatic protocol negotiation. Architecturally, Granian uses a multiprocess worker model that isolates requests across CPU cores and provides configurable threadpool-limited concurrency to control backpressure per worker. It includes built-in Prometheus metrics exposition for connection counts and

Qui is a BitTorrent cross-seeding manager, automation engine, and multi-instance torrent dashboard. It provides a unified web interface to manage multiple separate torrent client instances from a single location and functions as an authentication gateway using OpenID Connect to protect backend API endpoints. The project specializes in identifying and adding matching torrents across different trackers to increase seeding ratios. It utilizes hardlink-based file replication to satisfy multiple tracker layouts without duplicating disk space and features a rule-based automation engine that execute