Traces dependencies of a Loader
A library to create a trace of your node app per Google's Trace Event format.
OpenTelemetry Tracing
OpenTelemetry Zipkin Exporter allows the user to send collected traces to Zipkin.
Get v8 stack traces as an array of CallSite objects.
Trace the original position through a source map
Datadog APM tracing client for JavaScript
OpenTelemetry Node SDK provides automatic telemetry (tracing, metrics, etc) for Node.js applications
OpenTelemetry Exporter Jaeger allows user to send collected traces to Jaeger
File-system trace store for Pravaha — persists traces as JSON for CLI inspection
OpenTelemetry Jaeger propagator provides HTTP header propagation for systems that are using Jaeger HTTP header format.
SDK for integrating Braintrust with OpenTelemetry
OpenTelemetry Collector Trace Exporter allows user to send collected traces to the OpenTelemetry Collector
OpenTelemetry Collector Exporter allows user to send collected traces to the OpenTelemetry Collector using protobuf over HTTP
OpenTelemetry Collector Exporter allows user to send collected traces to the OpenTelemetry Collector
OpenTelemetry Web Tracer
Ledger logs central point
Node.js binding for libdatadog
Analyze the output of tsc --generatetrace
Error.captureStackTrace ponyfill
OpenTelemetry instrumentation for `knex` database SQL query builder
OpenTelemetry AWS Xray propagator provides context propagation for systems that are using AWS X-Ray format.
OpenTelemetry instrumentation for `dataloader` data fetching layer
OpenTelemetry instrumentation for `mongodb` database client for MongoDB
Central point for logging and tracing of system events using statsd and log4r
debug 'tags' in your code can be switched on/off using features and levels. See README.md
Faraday Middleware to trace request in monitoring system
Cucumber and RSpec extension that allows to test filesystem operations without leaving any trace on your system.
The New Relic Ruby agent requires the gem newrelic_rpm, and it includes distributed tracing that uses head-based sampling (standard distributed tracing). If you want distributed tracing to use tail-based sampling (Infinite Tracing), you need to add both newrelic_rpm and newrelic-infinite_tracing to your application's Gemfile. For more information, see: https://docs.newrelic.com/docs/understand-dependencies/distributed-tracing/get-started/introduction-distributed-tracing New Relic is a performance management system, developed by New Relic, Inc (http://www.newrelic.com). New Relic provides you with deep information about the performance of your web application as it runs in production. The New Relic Ruby agent is dual-purposed as a either a Gem or plugin, hosted on https://github.com/newrelic/newrelic-ruby-agent/
Ruby client for Appdash, Sourcegraph's application tracing system, based on Google's Dapper
A set of [mustache] templates extending [tla-trace-filter] -tool to create a self extracting achieve for API traces generated, when model checking formal models created by [tla-Sbuilder] -tool. Also includes Ruby classes to extract test cases from archive extract. Use case: Formal models, built using [tla-sbuilder], and model checked using [TLA+tools]], can generate /API Traces/, which represent end-to-end scenarios executing across system services in the formal model. An API Trace is composed of steps, with each step giving 1) a (formal) system state before the API call, 2) the API call exercised together with (formal model) value bindings of request parameters, 3) API response returned, and 4) the (formal) system state after the API call. A API Trace can be mapped to /Unit Tests/ on implementation with each Unit Test corresponding a step in the API Trace. After executing each of the individual Unit Tests, the aggregate result can be interpreted as an execution of a "virtual" System Test - considerably easier than managing the execution a System Test as a single unit. The purpose of =tla-trace-arch= GEM is create a self extracting archive, which can be safely distributed to system service developers for extracting API Trace Steps to create unit tests for the service being developed by the developer. Ref: - https://github.com/jarjuk/tla-trace-filter - https://mustache.github.io/mustache.5.html - https://github.com/jarjuk/tla-sbuilder - http://research.microsoft.com/en-us/um/people/lamport/tla/tools.html
Memory trace system for brain-modeled agentic AI — consolidation, reinforcement, and decay
Self-debugging system for cognitive processes in LegionIO — detects reasoning errors, traces causal chains, and applies corrective strategies
Log4r is a comprehensive and flexible logging library written in Ruby for use in Ruby programs. It features a hierarchical logging system of any number of levels, custom level names, logger inheritance, multiple output destinations per log event, execution tracing, custom formatting, thread safteyness, XML and YAML configuration, and more.
Specbook is a Rails engine that turns Turnip features and RSpec system specs into a browsable, animated walkthrough — screenshots with element overlays, Gherkin step cards, and Playwright trace viewer.
Extract Curves a simplistic GTK Ruby-based appliaction which can convert the raster image file result of a geometric-trace-producing process's interaction with the characteristic of motion of another (interesting) process into a list of rectangular coordinates (in raster image's system) representing the inferred characteristic of motion of the midline of an image blob. Blob recognition is done by color: * by maximum pixel neighbor-to-neighbor difference * by maximum difference from blob's average color * by maximum difference from a pixel neighborhood's average color (using RGB or HSV). Use other software to pre-process (e.g. enhance contrast, or even reduce to gray scale), but Extract Curves's skeletonization is done based on the hypothesis of a recognized image blob, as opposed to a collection of pixels. Output is human-readable (tab-separated).
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