Search Results for "trace"
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Showing 363 open source projects for "trace"
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dd-trace
JavaScript APM Tracer
dd-trace is an npm package that you can install in your Node.js application to capture APM (Application Performance Monitoring) data. In Datadog terminology this library is called a Tracer. This data is then sent off to a process that collects and aggregates the data, called an Agent. Finally, the data is sent off to the Datadog servers where it's stored and made available for querying in a myriad of ways, such as displaying in a dashboard or triggering alerts. -
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tracetest
Build integration and end-to-end tests in minutes
Tracetest is a trace-based testing tool for integration and end-to-end testing using OpenTelemetry traces. Verify end-to-end transactions and side effects across microservices & event-driven apps by using trace data as test specs. Cypress and Selenium are constrained by using the browser for testing. Tracetest bypasses this entirely by using your existing OpenTelemetry instrumentation and trace data to run tests and assertions against traces in every step of a request transaction. -
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AWS X-Ray SDK for Python
AWS X-Ray SDK for the Python programming language
AWS X-Ray SDK for the Python programming language. The AWS X-Ray SDK for Python is compatible with Python 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, and 3.9. X-Ray Python SDK will by default generate no-op trace and entity id for unsampled requests and secure random trace and entity id for sampled requests. If customer wants to enable generating secure random trace and entity id for all the (sampled/unsampled) requests (this is applicable for trace id injection into logs use case) then they should set the AWS_XRAY_NOOP_ID environment variable as False. ... -
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AWS X-Ray SDK for Go
AWS X-Ray SDK for the Go programming language
...Install the SDK using the following command (The SDK's non-testing dependencies will be installed): Use go get to retrieve the SDK to add it to your GOPATH workspace. X-Ray Go SDK will by default generate no-op trace and segment id for unsampled requests and secure random trace and entity id for sampled requests. If customer wants to enable generating secure random trace and entity id for all the (sampled/unsampled) requests (this is applicable for trace id injection into logs use case) then they achieve that by setting AWS_XRAY_NOOP_ID environment variable as False. -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
...The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. It integrates natively with Android (replacing older atrace/Systrace paths) and can sit alongside custom instrumentation in apps or services through its SDKs. -
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Trippy
A network diagnostic tool
Trippy combines the functionality of traceroute and ping and is designed to assist with the analysis of networking issues. Trace multiple targets simultaneously from a single instance of Trippy. Per hop stats (sent, received, loss%, last, avg, best, worst, stddev, jitter & status) Per hop round-trip-time (RTT) history and frequency distributing charts. Interactive chart of RTT for all hops in a trace with zooming capability. Interactive GeoIp world map. Isolate and filter by individual tracing flows. ... -
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Brave
Java distributed tracing implementation compatible with Zipkin backend
Brave is a distributed tracing instrumentation library. Brave typically intercepts production requests to gather timing data, correlate and propagate trace contexts. While typically trace data is sent to Zipkin server, third-party plugins are available to send to alternate services such as Amazon X-Ray. This repository includes dependency-free Java libraries and instrumentation for common components used in production services. For example, this includes trace filters for Servlet and log correlation for Apache Log4J. ... -
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AWS X-Ray SDK for Java
The official AWS X-Ray Recorder SDK for Java
...The AWS X-Ray SDK for Java is compatible with Java 8 and 11. Applications may make downstream HTTP calls to communicate with other applications. If these downstream applications are also traced, trace context information will need to be passed so that the trace segments may be properly grouped into a single trace. It may be useful to further decorate portions of an application for which performance is critical. Generating subsegments around these hot spots will help in understanding their impact on application performance. There are a few different styles available for tracing custom methods.You can automatically inject your current Trace ID into logging statements if you use the Log4J or SLF4J logging frontends. -
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Sentry PHP
The official PHP SDK for Sentry (sentry.io)
Sentry for PHP is a powerful error tracking library that helps developers identify, capture, and debug application issues in real time. It integrates seamlessly with PHP applications and frameworks like Laravel and Symfony, making it a go-to tool for production error monitoring. -
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apitrace
Tools for tracing OpenGL, Direct3D, and other graphics APIs
apitrace is a suite of tools designed for tracing and debugging graphics APIs such as OpenGL, Direct3D, and DirectDraw. It enables developers to record all the API calls made by an application, replay them, and inspect the graphics state at any point during execution. This functionality is invaluable for diagnosing rendering issues, optimizing performance, and ensuring compatibility across different platforms. -
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Zipkin
Distributed tracing system to gather timing data
...This can be helpful for identifying aggregate behavior including error paths or calls to deprecated services. Applications need to be “instrumented” to report trace data to Zipkin. -
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Kubeshark
The API traffic viewer for Kubernetes providing deep visibility
...Search all real-time and historical recorded API traffic and payloads using a comprehensive query language. Monitors all API traffic and payloads to find API drift and API anomalies and trace them down to source. Instant service dependency mapping through real-time API traffic analysis. Store all or a subset of traffic in PCAP files. View TCP stream request-response pairs and replay requests' payloads to a destination service. -
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TraceRoot
Find the Root Cause in Your Code's Trace
...AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context. -
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frida
Dynamic instrumentation toolkit for developers
Dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers. Inject your own scripts into black box processes. Hook any function, spy on crypto APIs or trace private application code, no source code needed. Edit, hit save, and instantly see the results. All without compilation steps or program restarts. Works on Windows, macOS, GNU/Linux, iOS, Android, and QNX. Install the Node.js bindings from npm, grab a Python package from PyPI, or use Frida through its Swift bindings, .NET bindings, Qt/Qml bindings, or C API. ... -
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httpdbg
Tool for Python developers to easily debug the HTTP(S) client requests
httpdbg is a tool for Python developers to easily debug the HTTP(S) client requests in a Python program. -
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Laminar
Open-source all-in-one platform for engineering AI products
Laminar is an open source all-in-one platform for engineering best-in-class LLM products. Data governs the quality of your LLM application. Laminar helps you collect it, understand it, and use it. When you trace your LLM application, you get a clear picture of every step of execution and simultaneously collect invaluable data. You can use it to set up better evaluations, as dynamic few-shot examples, and for fine-tuning. All traces are sent in the background via gRPC with minimal overhead. Tracing of text and image models is supported, audio models are coming soon. ... -
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Arthas
Alibaba Java Diagnostic Tool
Often times, the production system network is inaccessible from the local development environment. If issues are encountered in production systems, it is impossible to use IDEs to debug the application remotely. More importantly, debugging in production environment is unacceptable, as it will suspend all the threads, resulting in the suspension of business services. Developers could always try to reproduce the same issue on the test/staging environment. However, this is tricky as some issues... -
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Exceptionless
Exceptionless application
The definition of the word exceptionless is: to be without exception. Exceptionless provides real-time error reporting for your JavaScript, Node, .NET Core, ASP.NET, Web API, WebForms, WPF, Console, and MVC apps. It organizes the gathered information into simple actionable data that will help your app become exceptionless. -
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btrace
A safe, dynamic tracing tool for the Java platform
A safe, dynamic tracing tool for the Java platform. BTrace can be used to dynamically trace a running Java program (similar to DTrace for OpenSolaris applications and OS). BTrace dynamically instruments the classes of the target application to inject tracing code ("bytecode tracing"). -
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SigNoz
SigNoz is an open-source APM. It helps developers monitor their apps
...You can find the root cause of the problem by going to the exact traces which are causing the problem and see detailed flamegraphs of individual request traces. Run aggregates on trace data to get business relevant metrics. Filter and query logs, build dashboards and alerts based on attributes in logs. -
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spyder
The scientific Python development environment
Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It features a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package. Spyder’s multi-language Editor integrates a number of powerful tools... -
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Arduino core for the ESP32
Arduino core for the ESP32
ESP32 is a single 2.4 GHz Wi-Fi-and-Bluetooth SoC (System On a Chip) designed by Espressif Systems. ESP32 is designed for mobile, wearable electronics, and Internet-of-Things (IoT) applications. It features all the state-of-the-art characteristics of low-power chips, including fine-grained clock gating, multiple power modes,and dynamic power scaling. For instance, in a low-power IoT sensor hub application scenario, ESP32 is woken-up periodically and only when a specified condition is... -
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Profile Data
Analyze computation-communication overlap in V3/R1
...The README explains how trace data corresponds to forward/backward chunks, settings (e.g. EP64, TP1, 4K sequence length), and notes that pipeline communication is excluded for simplicity. -
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Sentry JS
Sentry SDKs for JavaScript
...Source code, error filters, stack locals, Sentry enhances application performance monitoring with stack traces. Quickly identify performance issues before they become downtime. View the entire end-to-end distributed trace to see the exact, poor-performing API call and surface any related errors. Breadcrumbs make application development a little easier by showing you the trails of events that lead to the error(s). -
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iii
Effortlessly compose, extend, and observe every service
iii is a backend unification engine that organizes application behavior around a small set of primitives such as functions, triggers, and workers. It is designed to connect existing backend systems into a more inspectable and programmable runtime. The project includes a console for developers and operators to inspect functions, triggers, traces, and live state. Its goal is to reduce backend sprawl by giving teams a single operational layer for event-driven and function-based workflows. iii...
