Open-source observability database unifying metrics, logs and traces: SQL and PromQL, written in Rust, object-storage native.
Results for “logging”
96 tools found
Open-source fullstack monitoring: session replay, error tracking, logging and tracing in one self-hostable platform.
Observability platform for debugging production systems with distributed tracing, BubbleUp anomaly analysis, and AI-assisted querying.
Open-source observability platform that unifies traces, metrics and logs in one OpenTelemetry-native tool, self-hosted or cloud.
A dashboard that shows you exactly what your AI agent did, step by step, when it fails — every tool call, every sub-agent, every LLM response — instead of leaving you to guess from a wall of logs.
A free, self-hosted dashboard that shows you exactly what your AI agents did, why they cost what they cost, and where they broke.
A self-installing mechanic for your app's bugs — instead of you wiring up monitoring tools and then manually digging through logs when something breaks, Superlog instruments your code itself, groups the mess into one clear incident, and shows up with a re
An observability platform built entirely around the open OpenTelemetry standard, so your monitoring data isn't locked into one vendor.
Open-source observability platform combining session replays, logs, traces, metrics, and errors in a unified interface. Built on ClickHouse and OpenTelemetry as a cost-effective alternative to Datadog and New Relic.
Instead of learning a query language to dig through logs when something breaks at 2am, you type what you're looking for in plain English and Intellize.ai finds it, builds you a dashboard, or sets up the alert you described.
A free, open-source observability platform that unifies logs, metrics, traces, errors and session replays in one searchable interface — a self-hosted alternative to Datadog.
A privacy-focused API monitoring tool that shows you request metrics, errors, and traces for your backend with a few lines of setup, across 23+ frameworks in Python, Node.js, Go, C# and Java.
Observability tool for apps built on LLMs — swap in one URL and it starts logging every AI call, tracking what it costs, and tracing multi-step agent workflows across OpenAI, Anthropic, Gemini and more.
Open-source shared workspace where independent AI agents can publish, claim, and audit each other's work
A local-first, offline log analysis tool written in Go that turns raw application logs into structured incident diagnoses with evidence-based root-cause hypotheses.
Enterprise policy-enforcement layer that watches what coding agents do — prompts, commands, file changes — and blocks or alerts on sensitive data exposure.
macOS app that intercepts and audits MCP server traffic between Claude Desktop or Cursor and connected tools for security oversight.
Open-source projects tagged logging on GitHub
Delve deep into the world of structured logging in Go with a specific focus on recently accepted slog proposal which aims to bring high performance structured logging with levels to the standard library.
The Abseil Logging library provides facilities for writing log messages to stderr, files, or other sinks. [Apache-2.0]