Open-source LogRocket alternatives

Sentry is a debugging platform that helps developers detect, trace and fix problems in their applications. It collects crash reports and errors from running software, groups them into issues, and adds the context needed to understand what happened, alongside performance monitoring for slow requests and transactions.

Integration happens through official SDKs covering web, mobile, desktop, server and game platforms, from JavaScript, Python and PHP to Go, Rust, Java, Kotlin, Swift, Flutter, Unity, Unreal Engine and Godot. The server itself is a Python application built on Django, and topics also mention CSP report collection and application performance monitoring.

Sentry is source available, and its license is listed as 'Other' on GitHub rather than a standard open-source license. It can be run on your own infrastructure, and the company also operates the hosted service at sentry.io. It is used by engineering teams of all sizes as a first stop when something breaks in production.

PostHog is an open-source platform that bundles the tools product teams use to understand and improve what they ship. It captures event data, user sessions and errors in one place, and its newer self-driving mode aims to turn signals such as errors, rage clicks and failed queries into researched reports and pull requests that engineers review and merge.

The product suite includes product analytics with autocapture or manual instrumentation and SQL analysis, web analytics with a dashboard resembling Google Analytics, session replays for web and mobile, feature flags, experiments with statistical measurement, surveys, error tracking, logs, a data warehouse and a customer data platform. The back end is Python and the front end is React and TypeScript.

PostHog's repository license is listed as 'Other' on GitHub, so check which parts are open source and which are enterprise-only. It can be self-hosted, and the company also runs a managed cloud service. It suits product and engineering teams that prefer a single tool over separate analytics, flagging and replay vendors.

OpenObserve, often shortened to O2, is open-source observability software spanning logs, metrics, traces and analytics, real user monitoring on web, Android and iOS, session replay, pipelines, SLOs and AI and LLM observability. It is pitched as a lower-cost option next to Datadog, Splunk and Elasticsearch for teams that want complete observability without the complexity or price.

Its architecture uses Parquet columnar storage and an S3-native design, which the project says can cut storage costs by up to 140 times compared with Elasticsearch, with petabyte-scale capacity. Topics reference OpenTelemetry, Prometheus, Jaeger and Kibana, showing the standards and tools it interoperates with. The README has sections on architecture, comparisons, production readiness, security and compliance, and an enterprise edition.

OpenObserve is AGPL-3.0 licensed, with a hosted cloud option and a self-hosted deployment, and documentation and a Slack community are provided. It suits engineering teams looking to consolidate logging, metrics and tracing in one tool while keeping storage costs under control.

OpenReplay is an open-source experience platform that you host on your own infrastructure. It combines session replay, DevTools-level debugging context, product analytics and live cobrowsing, so teams can see how real users navigate, where they struggle and what errors they hit without sending sessions to a third party.

Because everything stays in your own cloud, it is pitched at teams that cannot hand customer data to an external vendor. Data can be masked, obscured or skipped at capture time before it reaches your servers, and a private mode redacts everything by default. A lightweight tracker sends data asynchronously to limit the impact on page performance, and SDKs cover frameworks such as React, Angular, Vue, Svelte, Next.js and React Native.

The README states it can be self-hosted for free on AWS, GCP, Azure and other platforms. The repository lists its licence as Other and its topics also reference feature flags, web vitals and real-user monitoring, so it spans debugging, product and support use cases.

HyperDX is an open-source observability platform for working out why production is broken. It brings logs, metrics, traces, errors and session replays into one place, and works as a search and visualization layer on top of ClickHouse and OpenTelemetry, which the authors compare to Kibana for ClickHouse. It is a core component of ClickStack.

It is schema agnostic and can sit on top of an existing ClickHouse schema. Searching uses full-text and property syntax such as level:err, with SQL as an option, events can be compared with event deltas, high-cardinality events can be charted on dashboards, and alerts can be set up in a few clicks. Live tail shows the newest logs and traces, JSON strings can be queried natively, OpenTelemetry works out of the box, and APM views cover HTTP requests down to database queries.

One deployment option is ClickStack, a bundle of ClickHouse, HyperDX, an OpenTelemetry Collector and MongoDB, and HyperDX can instead be pointed at your own ClickHouse instance. It can also be used with ClickHouse Cloud. The project is MIT licensed and written in TypeScript.

This repository packages Sentry for self-hosting. It lets organizations run the whole Sentry platform on their own server without paying for the hosted product, and the project describes it as feature-complete but aimed at low-volume deployments and proofs of concept. The entry is listed under the name Develop, taken from the documentation site.

Sentry maintains a minimal setup that works out of the box for simple cases, built on Docker and Docker Compose with a bash-based install and upgrade script. It comes with no guarantees or dedicated support, so users are expected to rely on the community on Discord. For larger installations the repository acts as a blueprint of how Sentry services connect, and the docs cover configuration, upgrades, backup and restore, and production enhancements.

The code is distributed under Sentry's fair-source license rather than a standard open-source one. Documentation also explains the small number of differences between self-hosted and the SaaS version, along with relocation tooling for moving to Sentry's hosted service.

Highlight, at highlight.io, is an open-source monitoring platform for developers. Its aim is to give teams one cohesive tool covering the front end and back end, instead of separate products for errors, logs and user sessions.

The core features are session replay, error monitoring and logging, with tracing and metrics also in scope. Console logs from the front end can be analyzed, and errors are embedded alongside the session in which they happened, so you can see what the user was doing beforehand. Session comments let teams discuss user frustration or bugs, there are integrations with other tools, and client SDKs install with a few lines of code.

You can sign up for the free-to-start hosted version at app.highlight.io, or deploy a hobby instance on Linux with Docker, sized at roughly 8 GB of memory, four CPUs and 64 GB of storage. The code is written in TypeScript and Go, and the repository lists the license as Other, so check the licence file for terms.

Webfunny combines front-end monitoring, back-end application performance monitoring and business event tracking in one system. The monitoring side is aimed at technical teams who want to find and fix production problems, while the tracking side serves business teams who analyze user behavior.

According to its README, a short probe snippet collects errors, performance data and user behavior without changing business code. Features include real-time traffic dashboards with page views and unique visitors, user lookup by ID with behavior replay, and automatic grouping of code errors. Deployment needs only Node.js and supports one-click Docker installation, and a cluster edition is described for very high traffic. The documentation is largely in Chinese.

Webfunny is released under Apache-2.0 and offers a free community edition for private deployment, plus a paid enterprise edition with source code available for purchase and customization. It suits companies, especially Chinese-speaking ones, that want to keep monitoring data on their own servers.

Clarity is a behavioral analytics library written in TypeScript with two main goals: privacy and performance. It watches DOM mutations and user interactions in the browser to generate aggregated insights about how visitors view and use a website, across modern devices and browsers. It is released under the MIT license.

The data it captures supports session replay and heatmaps, which help product and design teams see where features succeed or fail. The README says the same code powers Microsoft's hosted behavioral analytics service at clarity.microsoft.com, where a live demo is also available, so the repository represents the client-side collection library rather than a full self-contained analytics backend.

The community is invited to help build a privacy-first, high-performance behavioral analytics library. It suits web teams who want to understand user behavior, improve conversion and retention, and review the code that runs on their pages before adding it to a site.

Traceway is an observability platform built natively on OpenTelemetry. It brings logs, traces, metrics, exception tracking, session replay, AI tracing and on-call paging into one product, and you can start by pointing an OTLP exporter at it without a separate collector or a vendor-specific SDK for each language.

Logs are structured and linked to traces, so you can jump from a log line to its span. Traces show end-to-end waterfalls, endpoint views rank routes by latency percentiles and error rate, and exceptions are grouped into ranked issues with source map support. There is experimental profiling with flame graphs, session replay for web and Flutter apps, and LLM observability covering cost, tokens and latency.

The project is written in Go, licensed under MIT and says that every feature ships in the open-source build with no open-core split. You can self-host it for free, using a setup the README says takes about 90 seconds, or run it on Traceway Cloud if you prefer not to manage infrastructure. It suits engineering teams looking for one tool to find and diagnose production problems.