#logging

26 tools curated in this category — including FaultLens, Radia, Spanlens

Find on mySelectas all sites and tools related to logging. This selection of 26 resources is reviewed and maintained by the community. The most popular include FaultLens, Radia, Spanlens. Each tool comes with a review, tags, comparisons and alternatives to help you make the best choice.

26 tools
FaultLens
Monitoring & Observability🌐 EN

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.

#logging#error-tracking#open-source#monitoring
github.com
📄 Full details →
👥 Target audience

Développeurs et équipes CI/CD voulant diagnostiquer des incidents localement sans envoyer leurs logs dans le cloud

🌍 Target countries

International

🗣️ Available languages
EN
🔄 Alternatives
DatadogNew RelicELK stack
🔗 Visit FaultLens
Radia
DevOps, Cloud & Infrastructure🌐 EN

Open-source shared workspace where independent AI agents can publish, claim, and audit each other's work

#ai-agents#api-first#collaboration#logging#open-source
radia.sh
📄 Full details →
👥 Target audience

Équipes déployant plusieurs agents autonomes indépendants ayant besoin de partager du travail avec auditabilité complète

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
Bridle (handoffs à consentement mutuel)Files de tâches génériques (Celery, Redis queues)
🔗 Visit Radia
Spanlens
Monitoring & Observability🌐 EN

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.

#logging#ai#llm#monitoring#observability
spanlens.io
📄 Full details →
👥 Target audience

Development teams building LLM-powered features who need multi-provider cost tracking, performance monitoring, and agent workflow tracing across multiple AI providers.

🌍 Target countries

Global

🗣️ Available languages
ENGLISH
🔄 Alternatives
LangfuseHeliconeLangSmithBraintrustArize Phoenix
🔗 Visit Spanlens
Apitally
Monitoring & Observability🌐 EN

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.

#monitoring#performance#observability#alerting#api
apitally.io
📄 Full details →
👥 Target audience

Équipes backend voulant un monitoring API léger et respectueux de la vie privée, sans la complexité d'une plateforme d'observabilité complète

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
DatadogNew RelicSentry
🔗 Visit Apitally
HyperDX
Monitoring & Observability🌐 EN

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.

#open-source#observability#monitoring#tracing#logging
github.com
📄 Full details →
👥 Target audience

Équipes ingénierie/SRE utilisant déjà ClickHouse ou cherchant une alternative open-source à Datadog

🌍 Target countries

International

🗣️ Available languages
EN
🔄 Alternatives
Datadog (payant, géré)Grafana + Loki + Tempo (open-source, plus de pièces à assembler)Kibana
🔗 Visit HyperDX
Intellize.ai
Monitoring & Observability🌐 EN

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.

#ai#alerting#observability#logging
intellize.ai
📄 Full details →
👥 Target audience

Équipes DevOps, ingénieurs plateforme et SRE qui veulent accéder aux logs/dashboards sans maîtriser un langage de requête

🌍 Target countries

Monde entier

🗣️ Available languages
EN
🔄 Alternatives
DatadogNew RelicGrafana Loki
🔗 Visit Intellize.ai
HyperDX
Monitoring & Observability🌐 EN

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.

#observability#self-hostable#monitoring#logging#open-source
hyperdx.io
📄 Full details →
👥 Target audience

High-velocity engineering teams needing production debugging and monitoring without prohibitive per-host licensing costs

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
DatadogNew RelicGrafana
🔗 Visit HyperDX
Dash0
Monitoring & Observability🌐 EN

An observability platform built entirely around the open OpenTelemetry standard, so your monitoring data isn't locked into one vendor.

#tracing#observability#logging#apm
dash0.com
📄 Full details →
👥 Target audience

Développeurs, SRE et ingénieurs plateforme voulant une observabilité sans dépendance à un vendeur propriétaire

🌍 Target countries

Worldwide

🗣️ Available languages
EN
🔄 Alternatives
DatadogHoneycombGrafana Cloud
🔗 Visit Dash0
Superlog
Monitoring & Observability🌐 EN

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

#devops#observability#logging#ai-agents#open-source
superlog.sh
📄 Full details →
👥 Target audience

Équipes de développement voulant une observabilité automatisée sans setup lourd ni dépendance à un vendeur propriétaire

🌍 Target countries

Monde

🗣️ Available languages
EN
🔄 Alternatives
DatadogSentryGlitchTip
🔗 Visit Superlog
Tracea
Monitoring & Observability🌐 EN

A free, self-hosted dashboard that shows you exactly what your AI agents did, why they cost what they cost, and where they broke.

#observability#self-hosting#monitoring#apm#logging
tracea.dev
📄 Full details →
👥 Target audience

Developers and small teams running AI agents in production who want on-prem observability without vendor lock-in

🌍 Target countries

Monde

🗣️ Available languages
EN
🔄 Alternatives
PandaProbeLangSmithHelicone
🔗 Visit Tracea
Laminar
Monitoring & Observability🌐 EN

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.

#monitoring#logging#ai-agents#observability#llm
laminar.sh
📄 Full details →
👥 Target audience

Équipes construisant des agents IA multi-étapes (pas de simples appels LLM ponctuels)

🌍 Target countries

Monde

🗣️ Available languages
EN
🔄 Alternatives
BraintrustLangfuseLangSmith
🔗 Visit Laminar