Best open-source alternatives to Sentry

Uptime Kuma is a self-hosted monitoring application aimed at people who need a simple, polished way to track whether services and infrastructure are reachable. It is positioned as an alternative to hosted uptime-monitoring products, with a focus on an attractive UI and straightforward setup. The project supports monitoring across many protocols and service types, including HTTP(S), TCP, WebSocket, ping, DNS records, Docker containers, and more. It also provides alerting through a large collection of notification integrations, multiple status pages, charting, certificate information, proxy support, and 2FA. Deployment is available via Docker Compose, Docker, or a non-Docker Node.js setup, and the README also points readers to further installation and update documentation in the project wiki.

Langfuse is an open source platform for LLM application engineering aimed at teams building AI products. It provides a centralized place to instrument applications, inspect traces, monitor LLM calls, and debug complex user sessions, while also supporting prompt management, evaluation workflows, dataset-based benchmarking, and playground-driven iteration. The project is designed for both managed cloud use and self-hosted deployments. The README highlights quick local setup with Docker Compose, production deployment on Kubernetes via Helm, and integration with popular tooling such as OpenAI, LangChain, LlamaIndex, and custom SDK-based workflows. It also emphasizes an API-first approach with OpenAPI specs, Postman collections, and typed SDKs for Python and JS/TS.

SigNoz is a self-hostable observability platform aimed at teams that need a single place to inspect application logs, metrics, and traces. It positions itself as an open-source alternative to commercial monitoring products such as Datadog and New Relic, and it emphasizes OpenTelemetry-based instrumentation so users can collect telemetry with a vendor-neutral standard. The project provides several production-focused capabilities, including APM charts, centralized log search, distributed tracing, dashboards, alerting, exception monitoring, and LLM observability. The README indicates that users can deploy it with Docker or on Kubernetes via Helm, and that they can choose between self-hosted usage and SigNoz Cloud, depending on how much maintenance they want to manage.

Opik is an open-source platform from Comet for teams building LLM-powered products. It is aimed at developers who need to trace model calls, evaluate outputs, monitor production behavior, and improve prompts or agent workflows across the full lifecycle of an application. The project combines observability, evaluation, and optimization features in a single system. It supports trace logging, feedback annotation, datasets, experiments, LLM-as-a-judge metrics, dashboards, and guardrails, and it can be run either through Comet’s cloud offering or self-hosted with Docker Compose or Kubernetes/Helm for local and scalable deployments.

Healthchecks is a self-hostable monitoring service for cron jobs and scheduled tasks. It is aimed at developers and operators who want to know whether periodic jobs are running on time without building their own alerting system. The project accepts pings over HTTP or email and tracks them as checks, then notifies users when expected pings fail to arrive. The application includes a web dashboard, an API, notification integrations, reports, and team-oriented features such as projects, members, and read-only access. It also supports WebAuthn-based two-factor authentication and can be administered through Django’s admin panel. The README describes local development setup, configuration through environment variables and local settings, and background commands for alerts, reports, and cleanup tasks.

Manifest is an OpenClaw plugin for routing LLM requests to the most cost-effective model. It is aimed at users who want to reduce model usage costs while keeping request handling and observability integrated into their existing OpenClaw setup. The project operates in both cloud and local modes. In cloud mode, users sign up for a hosted service and provide an API key; in local mode, the dashboard runs on the user’s machine and telemetry remains local. Manifest emphasizes privacy by keeping prompt content out of telemetry, and it supports a large set of model providers including OpenAI, Anthropic, Google Gemini, Ollama, and OpenRouter.

highlight.io is an open-source observability and monitoring platform aimed at developers who need to understand frontend and backend behavior in one place. It combines session replay, error monitoring, logging, and traces into a cohesive product, and it supports integrations and SDKs for collecting data from applications. The project is available as a hosted service and can also be self-hosted for hobby or enterprise use. The README describes a quick Docker-based deployment for a hobby instance, along with a more scalable enterprise self-hosted option, making it relevant both to teams evaluating the product and to organizations that want to run their own monitoring stack.

OpenSearch is an open-source search and observability suite designed to help users organize and analyze unstructured data at scale. It is positioned as an enterprise-grade platform, suggesting it is intended for production environments and larger deployments rather than lightweight local use. The README primarily serves as a project entry point, linking to downloads, documentation, community support, and contributor resources. It does not describe detailed installation steps or runtime architecture, but it does identify the project as Apache 2.0 licensed software maintained by the OpenSearch community.

Agenta is an open-source platform aimed at engineering and product teams that need to develop, test, and operate production LLM applications. It combines prompt management, evaluation workflows, and observability tools in one self-hostable product, with a hosted cloud option also available. The project is designed to help teams collaborate on prompts and configurations, run structured evaluations with human or automated feedback, and monitor runtime behavior such as cost, latency, and traces. It also supports a wide range of models and integrations, and exposes both UI-based and programmatic evaluation workflows for different kinds of users.

PostHog is an open source product analytics and product intelligence platform aimed at teams that want to understand user behavior, diagnose issues, and ship improvements from a single system. It combines event-based analytics, session replay, feature flags, experiments, surveys, error tracking, logs, and data warehouse integrations into one self-hostable or cloud-hosted product. The project is designed for product, engineering, and growth teams. It can be used through a web app, Slack, desktop, an editor via MCP, or integrated into applications with JavaScript snippets, SDKs, or the API. The README emphasizes both a free cloud offering and an advanced self-hosted deployment path for Linux using Docker.