30 open-source projects similar to aya-rs/aya, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Aya alternative.
This project is an educational resource providing a comprehensive development tutorial for writing and loading eBPF programs using C, Go, and Rust within the Linux kernel. It serves as a technical guide for developing custom logic to execute directly in the kernel. The materials cover specialized domains including kernel observability and tracing, security implementation for intrusion detection, and high-performance network engineering for packet filtering and load balancing. It also includes dedicated manuals for Linux kernel tracing and the use of kprobes, uprobes, and tracepoints. The pro
This project is a Go library and runtime for loading and managing eBPF programs and maps. It provides a bytecode loader and kernel interface to inject instructions into kernel hooks for system-level execution and observability across both Linux and Windows operating systems. The library features a relocation engine and tooling to ensure program compatibility across different kernel versions and distributions. It supports portable deployment by embedding compiled objects for multiple CPU architectures into a single binary and provides the ability to load signed system drivers on Windows. The
Inspektor Gadget is an eBPF observability toolset and program framework designed for tracing Linux systems and debugging Kubernetes nodes. It provides a suite of tools to collect kernel-level telemetry and export system metrics via the OpenTelemetry standard. The project distinguishes itself by packaging inspection tools as OCI-compliant container images, allowing for standardized distribution and deployment across clusters and hosts. It employs a modular data processing pipeline that utilizes WebAssembly modules to transform and filter telemetry, and leverages Compile Once Run Everywhere for
bpftrace is a high-level eBPF tracing tool and kernel instrumentation framework for Linux. It provides a tracing language to instrument kernel and user-space events without recompiling the system, functioning as a dynamic system profiler and event aggregator. The project enables dynamic system tracing and Linux kernel observability by capturing tracepoints and dynamic probes in real time. It allows for kernel data inspection and runtime process debugging by accessing internal data structures and filtering specific process events. Its capability surface covers system performance analysis, inc
Santa is a binary authorization system for macOS designed to control and monitor which binaries can execute based on defined trust rules. It functions as application whitelisting software that prevents unauthorized programs from running by verifying them against cryptographic hashes and signing certificates. The system provides execution monitoring by recording every binary launch event to create a visible software execution trail. It enables centralized audit logging to track successful and denied application launches across multiple devices, ensuring enterprise device compliance through syn
Katran is an eBPF-based Layer 4 load balancer designed for high-performance network packet forwarding directly within the Linux kernel. It utilizes an XDP network packet processor to bypass the standard kernel network stack, minimizing latency and maximizing throughput for incoming traffic. The system implements weighted consistent hashing to distribute network loads and maintain session persistence across backend servers. It further optimizes the return path through a direct server return gateway, which allows backends to respond directly to clients and removes the load balancer from the out
Tracee is a cloud-native runtime security and forensics tool that uses eBPF to capture system calls and kernel events in real time. It operates as a standalone binary or a Helm-deployable agent for Kubernetes, normalizing system calls, network events, and container activities into a unified event pipeline for consistent analysis. The tool distinguishes itself through policy-driven event filtering using YAML-based rules, allowing users to target specific workloads and reduce noise during monitoring. It includes built-in threat detection signatures that flag suspicious behavioral patterns witho
Velociraptor is a digital forensics and incident response platform, endpoint detection and response system, and visibility tool. It provides a query engine and remote forensic collector used to hunt for indicators of compromise and perform triage across a fleet of hosts. The system is distinguished by its specialized query language for interrogating host state and parsing binary files. It features a notebook environment that combines markdown documentation with executable query cells to standardize investigative workflows and enable collaborative reporting. The platform covers a wide range o
This project provides an open-source VPN client that creates an unrestricted tunnel to bypass internet censorship without fees, registration, speed caps, or data limits. It offers free, unlimited VPN tunneling with no sign‑up required, enabling access to blocked websites and unrestricted browsing. The application uses the WireGuard protocol for encrypted traffic routing, backed by kernel‑level packet forwarding to minimize overhead. It includes automatic server discovery that selects the most responsive server based on real‑time latency, a connection keepalive mechanism to detect and restore
Serilog is a structured logging library for .NET applications that records events as rich data objects instead of plain text strings. It functions as a multi-sink framework, allowing a single log stream to be emitted to diverse destinations such as files, consoles, and cloud databases through a structured event pipeline. The framework distinguishes itself through dynamic metadata enrichment, using log event enrichers to add contextual properties and telemetry to logs for improved traceability and analysis. It employs a routing system that filters, enriches, and directs these structured events
This is a structured logging library designed to produce logs using key-value pairs, severity levels, and machine-readable formats. It provides a toolkit for creating logs that are consistent for both human review and machine parsing. The project is distinguished by its focus on terminal visualization, using a styling system to apply colors and prefixes to log entries for improved readability in consoles. It also includes a specialized adapter to convert standard library log calls into structured events by inferring severity levels from message prefixes. The library manages metadata through
Logrus is a structured logging library for Go that produces machine-readable output using key-value pairs and JSON formatting. It serves as a pluggable logging framework providing a thread-safe event logger with configurable mutex locking to manage concurrent writes across multiple goroutines. The project distinguishes itself through a pluggable hook system that routes log entries to external services or custom destinations. It also features a contextual logger capable of attaching persistent metadata and request-scoped fields to entries to improve traceability. The framework covers broad ob
Winston is a versatile logging library for Node.js designed to record system events and metadata. It functions as a multi-transport log manager that routes data to various destinations and a structured log formatter that transforms entries into JSON or plain text. The project is distinguished by its pluggable transport architecture, which decouples the logging interface from delivery mechanisms. This allows for the creation of custom transport extensions and the use of hierarchical logger instances to inherit configurations while attaching persistent metadata to downstream messages. The libr
AWS Powertools for Python is a utility framework designed for building production-ready Python functions on AWS Lambda. It provides a comprehensive suite of tools for observability, event parsing, routing, and idempotency management to streamline the development of serverless applications. The project distinguishes itself through specialized capabilities for event-driven architectures and AI agent orchestration. It enables the implementation of AI agents by exposing functions as tools via OpenAPI schemas and managing conversation states. Additionally, it features an idempotency library that p
Tetragon is an eBPF-based runtime security and observability toolset designed for Linux and Kubernetes environments. It functions as a security policy manager, observability agent, and enforcement engine that hooks into kernel functions and tracepoints to detect privilege escalation, container escapes, and unauthorized system activity. The project distinguishes itself through its ability to perform real-time, in-kernel enforcement, allowing it to synchronously terminate malicious processes or modify function return values before a system call completes. It provides deep Kubernetes integration
Loguru is a Python logging library and thread-safe framework designed for recording system events and diagnostic messages. It functions as a structured logging tool that can serialize messages into JSON strings with metadata for automated parsing and analysis. The library includes a specialized exception tracker that captures unhandled crashes across main and background threads, rendering detailed stack traces that include local variable values. It further distinguishes itself through a unified routing pipeline that can intercept messages from the standard library logging module and dispatch
Kit is a microservices architectural framework and toolkit for Go. It provides a set of standardized primitives and abstractions for implementing service, endpoint, and transport layers in a decoupled manner. The framework focuses on system instrumentation through integrated distributed request tracing and a service instrumentation toolkit that utilizes counters and gauges to export performance data to external monitoring backends. It includes a structured logging library that records system events as key-value pairs to ensure compatibility with log aggregation tools. The project covers a br
structlog is a structured logging library for Python that treats log entries as dictionaries instead of strings. This data-centric approach enables machine-readable output and precise data analysis by generating log entries as key-value pairs. It functions as both a standalone logging framework and a compatibility layer that adds structured capabilities to the Python standard library logging module. The library features a processor-pipeline architecture that passes log dictionaries through a sequence of functions to modify events or add metadata before final rendering. It includes a contextua
itlwm is a macOS network driver and kernel extension that enables Intel wireless network adapters to function on macOS systems. It serves as a hardware-specific driver providing connectivity and stability for Intel Wi-Fi chips on non-native platforms. The project acts as a bridge between Intel hardware and native macOS wireless frameworks, allowing the system to recognize the adapter as a native device and utilize Apple Airport features and system settings. The driver manages hardware integration and network connectivity by interfacing with the operating system to support macOS hardware comp
hl is a set of command-line interface tools for filtering, aggregating, streaming, and visualizing structured log data across multiple sources. It functions as a log filter, file aggregator, real-time streamer, and structured log viewer. The project specializes in transforming JSON and logfmt data into human-readable formats for visual analysis. It enables the merging of multiple log files and compressed archives into a single chronologically sorted stream, while supporting live tracking of multiple sources into a unified real-time view. Capabilities include field-based filtering via key-val
This project is a structured tracing framework for Rust that serves as an async-aware instrumentation library and telemetry data collector. It provides a structured logging facade and the tools necessary to record, filter, and route event-based diagnostic data from both standard applications and embedded systems. The framework distinguishes itself through a core implementation that supports bare-metal and no-standard-library environments without requiring a dynamic memory allocator. It specifically handles the complexities of asynchronous workflows by propagating diagnostic contexts across fu
Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r
mcp-use is a development framework designed for building, deploying, and managing servers, clients, and autonomous agents using the Model Context Protocol. It provides a comprehensive toolkit for creating servers that expose custom tools, data resources, and prompts to compatible AI agents. The project distinguishes itself by offering a complete lifecycle for protocol-based applications, including a dedicated hosting platform for production servers and a compliance validator to ensure servers meet marketplace publishing requirements. It also features an observability suite for tracing protoco
The Missing Semester is a free, open-source educational curriculum designed to bridge the gap between theoretical computer science and the practical tooling every software engineer needs. Organized as a structured course, it covers Unix shell mastery, version control with Git, software debugging and profiling, system administration fundamentals, and computer security practices — the skills often left out of traditional degree programs. The project is maintained as a collaborative set of lecture notes, exercises, and guides that function as both a professional development tools course and a Uni
The inspector is a diagnostic and validation tool for the Model Context Protocol. It provides an interactive interface and a transport proxy to discover, inspect, and execute the tools, prompts, and resources provided by an MCP server. The project serves as a debugger and compliance tester to verify that server implementations adhere to the protocol specification and JSON-RPC standards. It allows for real-time monitoring of message exchanges and logs between clients and servers across various transport layers, such as standard input/output and Server-Sent Events. The tool covers a broad rang
OpenWifi is an open-source implementation of the IEEE 802.11n wireless standard designed for programmable logic. It provides a software-defined radio platform and WiFi baseband processor that implements the physical and MAC layers on FPGA hardware, accompanied by a dedicated wireless driver and toolset for hardware control. The project is distinguished by its deep integration of signal analysis and telemetry, specifically through a framework for capturing channel state information and raw IQ samples. It enables high-precision packet timestamping and cross-layer correlation between physical la
OpenTelemetry Go is a framework for generating and collecting distributed traces, metrics, and logs from Go applications. It provides a standardized telemetry instrumentation API for adding observability markers to code and a corresponding SDK for processing and emitting these signals. The project utilizes a configurable observability pipeline to sample and export telemetry data to external backends using the OTLP wire protocol. It features a pluggable export system and a separation between the public API and the SDK implementation, allowing telemetry to be routed to third-party platforms wit
kotlin-logging is a logging facade for Kotlin that provides a unified API and a multiplatform logging interface. It functions as a wrapper for various backend frameworks, including SLF4J, to enable consistent event recording across different JVM and Kotlin Multiplatform targets. The library centers on lazy message evaluation, which prevents expensive string construction unless the specific log level is active. This is achieved through a lazy-evaluated logger that computes messages only when the current severity level permits. The project supports structured application logging with metadata
Agenda is a persistent background job scheduler and distributed task runner for Node.js applications. It functions as a cron job manager and task queue that ensures background processes survive application restarts by storing job state and metadata in a database. The system coordinates execution across multiple worker instances using distributed locking mechanisms to prevent duplicate processing. It supports flexible scheduling via cron expressions or specific dates and includes a pluggable storage interface for backends such as MongoDB, PostgreSQL, and Redis. The platform provides controls
This project is an educational blog and learning resource dedicated to the Rust programming language. It provides a collection of curated guides, technical articles, and structured learning paths designed to teach language fundamentals, concurrency, and systems programming. The repository distinguishes itself by offering practical implementation tutorials for complex systems. This includes detailed guides on compiler development—specifically translating source code into targets such as ARM64, x86_64, LLVM IR, and WebAssembly—as well as networking examples for building multithreaded chat serve