ExploreGit

Best Open-Source Error Tracking Tool for Production Web Apps

4 open-source options compared for error tracking tool for production web apps, with live GitHub data on each.

Last updated Repo data refreshed 25 Oct 20264 options
Our pick · glitchtip-backend

Our pick is GlitchTip because it is a dedicated, truly open-source error tracking solution, offering self-hostability for capturing exceptions, stack traces, and contextual data. Its compatibility with Sentry SDKs ensures straightforward integration, making it a focused alternative to broader observability platforms like SigNoz, which provides a comprehensive suite but uses an open-core license. While PostHog and OpenReplay provide rich contextual data through session replay and analytics, they do not prioritize core exception tracking and aggregation as effectively as GlitchTip.

GlitchTip vs SigNoz vs PostHog vs OpenReplay: side by side

ProjectLicenceLanguageGitHub starsLast commitLatest releaseStatusHosting modelLearning curve (our estimate)Maturity (our estimate)
GlitchTipMITunknown36223 Oct 20265 Jun 2026 v6.1.8Activeunknown3/5 (moderate)stable
SigNozMIT core + commercial ee/TypeScript32,42723 Oct 202622 Oct 2026 v0.147.0Activeunknown4/5 (hard)production-ready
PostHogMIT core + commercial ee/Python40,42725 Oct 202624 Oct 2026 desktop-v0.61.839Activeself-hosted or vendor cloud3/5 (moderate)production-ready
OpenReplayAGPL-3.0 core + commercial ee/TypeScript13,04023 Oct 202625 Sept 2026 v1.28.0Activeunknown3/5 (moderate)production-ready

Learning curve and maturity are ExploreGit's AI-assisted estimates; everything else is from GitHub or the project's own docs (linked).

01

glitchtip/glitchtip-backend

Our pickActive
★ 362 starsLicence: MITLast activity 23 Oct 2026Latest release 5 Jun 2026Data from GitLab

This is an open-source error tracking and performance monitoring tool compatible with the Sentry API.

Best for: Developers seeking a lightweight, truly open-source, self-hostable error tracking solution that integrates seamlessly with Sentry-compatible SDKs.

What's good

  • Truly open-source with an MIT license, offering full control and no vendor lock-in concerns.
  • Directly compatible with Sentry SDKs, allowing easy integration into existing projects.
  • Provides comprehensive error tracking features including stack traces, contextual data, and environment details.
  • Lighter weight than a full observability platform, making it easier to self-host and manage.

Watch out for

  • Smaller community and fewer advanced features compared to commercial alternatives like Sentry.
  • Relies on self-hosting and managing all infrastructure, requiring DevOps expertise.
  • Performance monitoring features are less mature than its error tracking capabilities.
02

SigNoz/signoz

Active
★ 32,427 starsMIT core + commercial ee/Last commit 23 Oct 2026Latest release 22 Oct 2026TypeScript

SigNoz is an open-source, OpenTelemetry-native observability platform that unifies logs, metrics, and traces within a single tool. It offers features such as Application Performance Monitoring (APM), distributed tracing, log management, and infrastructure monitoring to help teams build more resilient applications and effectively troubleshoot problems.

Best for: Teams seeking a comprehensive, self-hostable observability solution that includes robust error detection and root cause analysis capabilities across APM, distributed tracing, and log management, particularly for complex production web applications and microservices architectures.

What's good

  • Provides a full observability suite, integrating logs, metrics, and traces into one tool, which is essential for holistic error detection and diagnosis.
  • Built on OpenTelemetry, ensuring adherence to open standards for data collection, offering flexibility and helping prevent vendor lock-in.
  • Offers APM and distributed tracing capabilities, enabling users to efficiently pinpoint the source and context of errors across distributed systems.
  • Demonstrates active development, indicated by its active status and recent release and push dates.

Watch out for

  • The project operates under an open-core license, meaning some features are part of the open-source core, while others are under a separate enterprise license.
  • As a comprehensive observability platform, it typically requires more resources for deployment and ongoing management compared to dedicated, lightweight error tracking tools.
  • While strong in error detection within its APM and tracing, its specific error tracking functionalities might not be as granular or specialized as purpose-built error monitoring solutions for very niche use cases.
03

PostHog/posthog

Active
★ 40,427 starsMIT core + commercial ee/Last commit 25 Oct 2026Latest release 24 Oct 2026Python

PostHog is a leading platform designed for building self-driving products. It offers a comprehensive suite of developer tools, including AI observability, analytics, session replay, feature flags, experiments, error tracking, and logs. These tools work together to capture all the necessary context for diagnosing problems, uncovering opportunities, and implementing fixes.

Best for: Production web app teams and developers seeking an integrated platform that combines error tracking with rich contextual data from AI observability, analytics, and session replay. It is ideal for those who want to understand the entire user journey leading to errors and leverage feature flags for controlled rollouts and quick issue resolution.

What's good

  • Provides integrated error tracking alongside AI observability, analytics, session replay, and logs, offering a complete picture for problem diagnosis.
  • Enables understanding the precise steps leading to errors through user session replays, enhancing debugging capabilities.
  • Features integrated feature flags and experimentation tools, allowing for controlled deployments and rapid rollback of problematic features, minimizing user impact from errors.
  • Demonstrates active and consistent development, ensuring continuous updates and support.

Watch out for

  • Functions as an open-core project; while its core is open-source, enterprise features or components are provided under a separate licence.
  • Its comprehensive nature, including extensive product analytics and session replay, can make it more resource-intensive to self-host compared to dedicated, lightweight error tracking solutions.
  • For teams solely focused on basic error exception reporting, the breadth of features might introduce unnecessary complexity and overhead.
★ 13,040 starsAGPL-3.0 core + commercial ee/Last commit 23 Oct 2026Latest release 25 Sept 2026TypeScript

OpenReplay is a self-hosted open-source experience platform that provides session replay, cobrowsing, and product analytics. It is designed for reproducing issues and iterating on products, ensuring user data remains within the user's own infrastructure.

Best for: Development teams aiming to visually debug issues and understand user behavior in production web apps through session replays, cobrowsing, and product analytics. It is particularly useful for reproducing issues and iterating on product features, with a strong emphasis on self-hosting for data privacy.

What's good

  • Offers a comprehensive self-hosted platform for session replay, cobrowsing, and product analytics.
  • Facilitates visual debugging with detailed replays, providing insights into user actions, network requests, and console logs, which is crucial for reproducing complex issues.
  • Ensures user data privacy and control through its self-hosting capability, keeping all data within the user's infrastructure.
  • Maintained with active development, evidenced by its status and updates.

Watch out for

  • It functions primarily as an experience platform for session replay and analytics, rather than a dedicated error tracking tool that automatically captures and aggregates exceptions.
  • The project is licensed as open-core: open-source core, enterprise code under a separate licence, meaning some advanced features are likely under a separate, non-open-source license.
  • Self-hosting and processing extensive session replay data can demand significant computational and storage resources.

"Dormant" means no commit pushed to the default branch in the last 12 months. "Archived" means the maintainers have marked the repository read-only on GitHub. "Deprecated" means the project's README says it is deprecated or no longer maintained. Stars, licence, commit and release dates come from the GitHub API (GitLab for projects developed there) and are cached for up to 24 hours. On licences: a custom licence is a licence file that isn't a single standard licence; open-core means the core is open-source and the enterprise code is licensed separately. Check the linked licence file before use. The written analysis is AI-assisted and checked against that data.

Frequently asked questions

Are GlitchTip, SigNoz, PostHog and OpenReplay actively maintained?

GlitchTip, SigNoz, PostHog and OpenReplay are active: each has had a commit in the last 12 months (most recent: GlitchTip on 23 Oct 2026, SigNoz on 23 Oct 2026, PostHog on 25 Oct 2026, OpenReplay on 23 Oct 2026). Status is checked against GitHub daily.

What licences do GlitchTip, SigNoz, PostHog and OpenReplay use?

GlitchTip: MIT; SigNoz: MIT core + commercial ee/ (open-core); PostHog: MIT core + commercial ee/ (open-core); OpenReplay: AGPL-3.0 core + commercial ee/ (open-core). Check each project's licence file before use.

Which is easiest to learn: GlitchTip, SigNoz, PostHog or OpenReplay?

By our estimate (1 = easiest, 5 = steepest): GlitchTip 3/5, SigNoz 4/5, PostHog 3/5, OpenReplay 3/5. GlitchTip, PostHog and OpenReplay share the gentlest learning curve. This is ExploreGit's AI-assisted estimate, not a measured figure.

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