* [Jaeger v2.18.0](https://github.com/jaegertracing/jaeger) – Distributed tracing platform for monitoring and troubleshooting microservices.

* [SigNoz v0.127.0](https://github.com/SigNoz/signoz) – Observability platform that consolidates logs, metrics, and traces for effective application monitoring and troubleshooting.

* [Coroot v1.21.0](https://github.com/coroot/coroot) – Observability tool that transforms application data into actionable insights.

* [Kibana v9.4.2](https://github.com/elastic/kibana) – Browser-based analytics and search dashboard for Elasticsearch.

* [Odigos v1.27.0](https://github.com/odigos-io/odigos) – Distributed tracing solution that enhances observability for Kubernetes and Virtual Machines without code changes.

* [kube-state-metrics v2.19.0](https://github.com/kubernetes/kube-state-metrics) – Service that generates metrics about the state of Kubernetes objects.

* [newrelic-client-go v2.87.0](https://github.com/newrelic/newrelic-client-go) – Go client library for interacting with New Relic APIs and building Developer Toolkit tools.

* [seq-db v0.71.0](https://github.com/ozontech/seq-db) – Scalable, high-performance database for efficient log storage and querying.

* [NanoTDB v1.4.0](https://github.com/aymanhs/nanotdb) – Append-only time-series database with built-in automatic aggregates and rollups for efficient long-range queries on modest hardware.

* [langfuse-js v5.4.0](https://github.com/langfuse/langfuse-js) – JS/TS SDKs for instrumenting LLM apps with detailed tracing and observability.

* [Retina v1.2.1](https://github.com/microsoft/retina) – eBPF-based distributed networking observability platform for Kubernetes clusters providing centralized monitoring of application, network, and security health.

* [AWS Distro for OpenTelemetry Collector v0.48.0](https://github.com/aws-observability/aws-otel-collector) – AWS-supported OpenTelemetry Collector compatible with AWS platforms for sending telemetry data to CloudWatch and other backends.

* [Manifest manifest@6.3.0](https://github.com/mnfst/manifest) – Backend framework enabling data, storage, logic, and admin panel definition in a single YAML file.

* [Ember v1.4.0](https://github.com/alexandre-daubois/ember) – Real-time terminal dashboard for monitoring Caddy servers and FrankenPHP internals.

* [NightOwl Agent v1.0.0](https://github.com/lemed99/nightowl-agent) – Laravel monitoring agent that ingests Nightwatch telemetry, buffers it locally, and drains into a PostgreSQL database you control.

* [Loongsuite Go Agent v1.10.0](https://github.com/alibaba/loongsuite-go-agent) – Compile-time OpenTelemetry instrumentation tool for Go applications requiring no code changes.

* [Laminar v0.1.46](https://github.com/lmnr-ai/lmnr) – Platform for tracing, evaluating, and analyzing AI applications with support for datasets and scalable performance.

* [OpenClaw Opik Observability Plugin v0.2.17](https://github.com/comet-ml/opik-openclaw) – Exports OpenClaw agent traces to Opik for observability, monitoring, and cost and usage reporting.

* [Kubernetes History Inspector v0.55.1](https://github.com/GoogleCloudPlatform/khi) – Log visualization tool that converts Kubernetes audit logs into interactive timelines and cluster diagrams for troubleshooting.

* [NATS Surveyor v0.9.10](https://github.com/nats-io/nats-surveyor) – Polls servers for Statz messages and exposes Prometheus-format metrics to provide a full view of a deployment.

* [NestJS OpenTelemetry (OTEL) v8.0.3](https://github.com/pragmaticivan/nestjs-otel) – OpenTelemetry module for the Nest framework that simplifies observability metrics setup.

* [evlog evlog@2.17.0](https://github.com/HugoRCD/evlog) – Per-request wide structured logging that emits a single JSON event with full context and self-explaining errors.

* [DataFlint OSS v0.9.9](https://github.com/dataflint/spark) – Drop-in replacement for the Apache Spark Web UI that simplifies performance monitoring and debugging.

* [AgentMark @agentmark-ai/ui-com...](https://github.com/agentmark-ai/agentmark) – Markdown-based framework to develop, test, and evaluate AI agents with multimodal generation and CLI tooling.