8 Best JavaScript Error Tracking Tools in 2026

Why JavaScript Error Tracking Matters

Every unhandled JavaScript error is a broken experience. A checkout button that silently fails. A form that submits to nowhere. A dashboard that loads halfway and stops. Users don't file bug reports—they leave. Studies consistently show that even a single JS error during a session increases bounce rates by 10–20%, and the majority of frontend bugs are never reported by the users who encounter them.

Without error tracking, you're relying on users to tell you something is broken. That means the bugs that affect your most patient customers get fixed, while the bugs that silently drive away everyone else go undetected for weeks or months. A proper error tracking tool captures every exception automatically, groups duplicate errors, alerts your team in real time, and gives you the context needed to reproduce and fix issues quickly.

The cost of not tracking errors is concrete: lost conversions, increased support tickets, slower development velocity (because you spend time reproducing bugs instead of fixing them), and a degraded product experience that compounds over time. The tools in this guide all address this problem—they differ in how much context they give you around each error and what else they bring to the table.

What to Look for in an Error Tracking Tool

Not all error tracking platforms are equal. Some give you a stack trace and a timestamp. Others give you the full story of what the user was doing, what the application state looked like, and what happened next. Here are the criteria that matter most:

• Stack traces and source maps — The tool should capture full stack traces and support source map uploads so you can debug minified production code as if it were the original source.
• Error grouping and deduplication — Thousands of raw error events are useless. Good tools automatically group identical errors, track first/last occurrence, and show affected user counts.
• Session context — What was the user doing when the error occurred? Browser, OS, URL, user actions leading up to the error. The more context, the faster you reproduce and fix.
• Alerting and integrations — Real-time alerts via Slack, email, or PagerDuty. Integration with issue trackers (Jira, GitHub, Linear) to turn errors into actionable tickets.
• Release and deploy tracking — Correlating errors with specific releases tells you whether a deploy introduced a regression or fixed one.
• Performance monitoring — Some tools bundle transaction tracing and Web Vitals alongside error tracking, giving you a fuller picture of frontend health.
• Session replay — The ability to watch a video-like replay of the user's session when an error occurred. This is the single biggest time-saver for debugging frontend issues.

The Session Replay Advantage

Here's a scenario every frontend developer knows: you get an error alert—TypeError: Cannot read properties of undefined (reading 'map')—with a stack trace, browser info, and a URL. You open the page, click around, and can't reproduce it. You check the state management logic, add some logging, deploy, and wait. Maybe you figure it out in an hour. Maybe it takes a week. Maybe it quietly gets closed as "cannot reproduce."

Now imagine the same error, but this time you click "Watch Session" and see a 90-second replay of exactly what the user did: they opened the page, switched tabs for five minutes (triggering a token expiry), came back, clicked "Load More," and the API returned a 401 instead of data. The .map() call blew up because the response wasn't an array. Root cause identified in 30 seconds.

That's the difference between traditional error tracking and error tracking with session replay. Stack traces tell you where code broke. Session replay shows you why it broke in the real world, with all the messy human context that no amount of logging can capture: race conditions triggered by tab-switching, edge cases from unusual navigation paths, errors caused by browser extensions, and failures that only surface on specific device/network combinations.

Dedicated error tracking tools like Sentry and Bugsnag are excellent at the technical side—stack traces, breadcrumbs, release correlation. But they were built for backend and systems engineers, not for understanding how real users interact with a UI. Session replay bridges that gap. The tools in this guide that combine both approaches (Inspectlet, LogRocket, FullStory) offer a fundamentally different debugging workflow than pure error monitors.

Quick Comparison

1. Sentry — Best Dedicated Error Tracking

Sentry is the industry standard for error tracking, and for good reason. Originally built for Python, it now supports over 100 platforms and languages with deep, idiomatic SDKs for JavaScript, React, Node.js, Python, Ruby, Go, and virtually everything else. If your only goal is catching and diagnosing errors across a polyglot stack, Sentry is the most complete dedicated option available.

Sentry's JavaScript SDK captures unhandled exceptions and promise rejections automatically, with full stack traces, source map support, and breadcrumbs that log user actions (clicks, navigation, console output, XHR requests) leading up to the error. Error grouping is intelligent—Sentry deduplicates by stack trace fingerprint and lets you merge or split groups manually. Release tracking ties errors to specific deploys, so you can immediately see whether a new release introduced regressions. Performance monitoring (transaction tracing, Web Vitals) is included on paid plans.

Where Sentry falls short for frontend teams is behavioral context. Breadcrumbs give you a text log of user actions, but you can't see the actual UI state, watch the user's mouse movements, or understand the visual context of the error. Sentry added a basic session replay feature, but it's an add-on product rather than a core capability, and it lacks the depth of dedicated replay tools. There are no heatmaps, no form analytics, no A/B testing—Sentry is an engineering tool, not a product analytics platform.

Pricing: Developer (free, 5,000 errors/month). Team ($26/mo, 50k errors). Business ($80/mo, 100k errors). Volume discounts available.

Pros:

• Deepest error tracking capabilities of any tool—stack traces, breadcrumbs, release tracking, performance monitoring
• 100+ platform SDKs with idiomatic integrations
• Open-source core (self-hostable)
• Massive ecosystem of integrations (Jira, GitHub, Slack, PagerDuty, etc.)

Cons:

• Session replay is a basic add-on, not a core feature
• No heatmaps, form analytics, A/B testing, or surveys
• Breadcrumbs provide text-only context—you can't see what the user actually saw
• Pricing scales with event volume and can get expensive at scale

Best for: Engineering teams working across multiple languages and platforms that need the deepest possible error tracking and don't need visual debugging context.

2. Inspectlet — Best for Error Tracking + Session Replay

Inspectlet takes a fundamentally different approach to error tracking. Rather than building an error monitor and bolting on replay later, Inspectlet was built as a session recording platform from day one—and its error tracking captures JavaScript errors and failed network requests within the context of a full session replay. When an error fires, you don't just get a stack trace. You get a video-like recording of everything the user did before, during, and after the error, including their mouse movements, clicks, scrolling, form interactions, and page navigations.

This changes the debugging workflow entirely. Instead of trying to reproduce an error from a stack trace and a browser string, you click "Watch Session" and see the exact sequence of events that triggered it. AI Session Insights automatically flags sessions with errors, unusual behavior, or rage clicks, so you don't have to manually sift through recordings to find the problematic ones. The error logging dashboard groups errors by type, tracks first and last occurrence, and shows which pages and user segments are most affected.

Beyond error tracking, Inspectlet bundles heatmaps (click, scroll, and eye-tracking), A/B testing, form analytics, and on-page surveys—all included on every plan. This means you can spot an error in the error log, watch the session replay to understand the root cause, check heatmaps to see how many users interact with the affected area, and run an A/B test to validate the fix. It's a complete frontend optimization toolkit, not just an error monitor.

Pricing: Free plan available. Paid plans from $39/mo to $499/mo based on session volume. Every feature is included on every plan—no separate products or add-on pricing.

Pros:

• Full session replay linked to every error—see what users did, not just what code broke
• AI Session Insights automatically surfaces error sessions and unusual behavior
• Complete feature suite (heatmaps, A/B testing, form analytics, surveys) on every plan
• Auto-captures JS errors and failed network requests with zero configuration

Cons:

• Doesn't support backend/server-side error tracking (JavaScript and frontend only)
• Fewer integrations than Sentry's 100+ platform ecosystem
• No open-source self-hosted option

Best for: Teams that want to understand the human context behind every JavaScript error—not just the stack trace, but what the user was actually doing. Especially valuable for product teams, UX researchers, and frontend developers who debug user-facing issues.

3. LogRocket — Best for Frontend Monitoring

LogRocket sits in a similar space to Inspectlet, combining session replay with error tracking. Its particular strength is frontend performance monitoring: LogRocket captures JavaScript errors alongside Redux/Vuex/NgRx state changes, network request and response bodies, Web Vitals metrics, and performance timing data. If you're debugging a React application and need to see the exact component state when an error fired, LogRocket gives you that level of detail.

The session replay is solid, with HTML-based recording that handles SPAs well. LogRocket's network inspector is particularly useful—it logs full request and response payloads (with configurable PII scrubbing), making it easy to diagnose errors caused by unexpected API responses. Error grouping and alerting are functional, though not as deep as Sentry's dedicated error management.

LogRocket does not include heatmaps, A/B testing, form analytics, or surveys. It's focused squarely on the engineering side of frontend debugging. Pricing can escalate quickly at higher session volumes, and the free tier is limited to 1,000 sessions per month.

Pricing: Free (1,000 sessions/month). Team at $99/mo (10k sessions). Professional and Enterprise tiers with custom pricing.

Pros:

• Deep Redux/Vuex/NgRx state logging alongside session replay
• Full network request/response body capture
• Web Vitals and frontend performance monitoring
• Good SPA support for React, Angular, and Vue

Cons:

• No heatmaps, A/B testing, form analytics, or surveys
• Pricing escalates at higher session volumes
• Limited free tier (1,000 sessions)
• Focused on engineering—less useful for product or UX teams

Best for: Frontend engineering teams working with state-management-heavy React/Vue/Angular applications that need deep technical debugging context alongside session replay.

4. Bugsnag — Best for Mobile + Web

Bugsnag specializes in error monitoring with a particular strength in mobile platforms. While every tool in this list handles browser JavaScript, Bugsnag's SDKs for iOS, Android, React Native, Flutter, and Unity are genuinely first-class—not afterthoughts bolted onto a web-first platform. If your team ships both a web app and native mobile apps, Bugsnag gives you a unified error dashboard across all platforms.

On the web side, Bugsnag captures unhandled exceptions and promise rejections with stack traces, source maps, and configurable metadata. Its standout feature is stability scores—a per-release percentage showing what fraction of sessions were error-free. This gives product managers and engineering leads an immediate, non-technical answer to "is this release stable?" Release tracking and deploy integration are solid, with automatic regression detection when a previously resolved error resurfaces.

Bugsnag does not include session replay, heatmaps, or any behavioral analytics. It's a pure error monitoring tool. For JavaScript-only teams, Sentry offers deeper web-specific features at a similar price point. Bugsnag's real advantage is the multi-platform story.

Pricing: Free (7,500 events/month). Pro, Growth, and Enterprise tiers with custom pricing based on event volume.

Pros:

• Excellent mobile SDKs (iOS, Android, React Native, Flutter, Unity)
• Stability scores provide a clear per-release health metric
• Automatic regression detection when resolved errors recur
• Unified dashboard for web and mobile errors

Cons:

• No session replay, heatmaps, or behavioral context
• Web-specific features are less deep than Sentry
• Pricing is opaque beyond the free tier (requires sales contact)

Best for: Teams shipping both web and native mobile applications that need a single, unified error monitoring platform across all platforms.

5. Rollbar — Best for CI/CD Integration

Rollbar positions itself as the error tracking tool built for continuous delivery teams. Its core thesis is that errors should be correlated with deploys—when you ship code multiple times a day, you need to know instantly whether a deploy introduced new errors or resolved existing ones. Rollbar's deploy tracking is deeper than most competitors: it automatically links errors to Git commits, shows which deploy introduced each error, and provides rollback recommendations when a release causes a spike.

The JavaScript SDK captures errors with stack traces and source maps. Rollbar's automated grouping uses a combination of stack trace fingerprinting and machine learning to cluster related errors, and it improves grouping quality over time as it learns your codebase's error patterns. People tracking lets you see which users are affected by each error, and the integration list covers Slack, Jira, GitHub, PagerDuty, and most popular CI/CD platforms.

Like Bugsnag, Rollbar is a pure error monitoring tool with no session replay, heatmaps, or behavioral analytics. Its free tier is reasonable at 5,000 events per month, and paid plans start at a very accessible $13/mo.

Pricing: Free (5,000 events/month). Essentials at $13/mo. Advanced at $51/mo. Enterprise with custom pricing.

Pros:

• Deep deploy tracking that correlates errors with specific Git commits
• ML-powered error grouping that improves over time
• Very affordable entry pricing ($13/mo)
• People tracking to identify affected users

Cons:

• No session replay, heatmaps, or behavioral context
• Error grouping ML can occasionally miscluster errors
• UI is functional but less polished than Sentry or Bugsnag

Best for: Teams practicing continuous delivery who deploy frequently and need error tracking tightly integrated with their CI/CD pipeline and Git workflow.

6. Raygun — Best for Crash Reporting

Raygun combines error and crash reporting with real user monitoring (RUM) in a single platform. The crash reporting side captures JavaScript errors with full stack traces, source maps, and environment data. What sets Raygun apart is its user-centric error grouping: rather than just clustering errors by stack trace, Raygun associates errors with individual user profiles, letting you see each user's complete error history and the impact of errors on specific customer segments.

The RUM component tracks page load times, route changes, and Web Vitals, providing performance data alongside error data. This means you can identify errors that correlate with performance degradation—for example, a memory leak that eventually causes errors after prolonged use. Raygun also offers deployment tracking and integrations with Jira, Slack, GitHub, and common DevOps tools.

Raygun does not include session replay, heatmaps, or behavioral analytics. Its pricing starts at $69/mo for the Small Business tier, which is higher than Sentry's or Rollbar's entry points but includes both error monitoring and RUM.

Pricing: Small Business at $69/mo. Startup, Pro, and Enterprise tiers scale with data volume. 14-day free trial.

Pros:

• User-centric error grouping shows impact on individual customers
• RUM and error monitoring combined in one platform
• Deployment tracking with regression detection
• Responsive customer support

Cons:

• No session replay, heatmaps, or behavioral analytics
• Higher entry price than Sentry or Rollbar
• Smaller community and ecosystem than Sentry
• No free tier (trial only)

Best for: Teams that want user-centric error reporting combined with real user monitoring and don't need behavioral analytics features.

7. FullStory — Best Enterprise Option

FullStory is an enterprise digital experience platform that includes error capture as part of a broader analytics suite. It records user sessions and captures JavaScript errors within those sessions, linking errors to the full replay context. FullStory's DX Data Engine indexes every user interaction, allowing you to search sessions by any combination of actions, errors, frustration signals (rage clicks, dead clicks, error clicks), and custom events.

For error tracking specifically, FullStory captures unhandled exceptions and network errors within session recordings. You can search for all sessions containing a specific error, see how many users were affected, and watch replay for each occurrence. The frustration-signals framework adds a layer that dedicated error tools don't have—you can find sessions where users encountered errors and exhibited frustrated behavior, prioritizing the errors that actually degrade user experience.

The primary barrier is cost. FullStory's pricing starts at roughly $10,000 per year and scales significantly with session volume, putting it out of reach for most small and mid-size teams. The platform is also complex, with a steeper learning curve than simpler tools. There are no heatmaps beyond basic click maps, no A/B testing, and no form analytics.

Pricing: Custom enterprise pricing (typically $10,000+/year). No free plan. Demo required.

Pros:

• Powerful session search—find sessions by any combination of user actions and errors
• Frustration signal detection (rage clicks, dead clicks, error clicks)
• Deep session replay with error context
• Robust API and data export for analytics pipelines

Cons:

• Enterprise pricing ($10,000+/year) excludes most teams
• Error tracking is a component, not the core product—less depth than dedicated tools
• Steep learning curve and complex interface
• No A/B testing, form analytics, or surveys

Best for: Large enterprise teams with budget for premium tooling that need error capture integrated into a comprehensive digital experience analytics platform.

8. TrackJS — Best Lightweight Option

TrackJS is a focused, lightweight JavaScript error tracking tool that does one thing and does it well: capturing client-side JavaScript errors with enough context to diagnose them. It doesn't try to be a session replay platform, a heatmap tool, or a performance monitor. If you want simple, reliable JS error tracking without the complexity (and cost) of a full-featured platform, TrackJS is worth considering.

TrackJS's standout feature is its timeline view, which shows a chronological log of user actions (page loads, network requests, console logs, clicks) leading up to each error. This isn't session replay—it's a text-based timeline—but it provides more behavioral context than a raw stack trace alone. Error grouping, alerting, and source map support are all included. The SDK is genuinely lightweight (under 10KB gzipped) and has minimal performance impact.

The limitation is scope. TrackJS only tracks client-side JavaScript errors. There's no session replay, no heatmaps, no mobile SDKs, no backend support, and fewer integrations than the larger platforms. The community is smaller, and the product is maintained by a small team. For JavaScript-only error tracking on a budget, it's excellent. For anything broader, you'll need additional tools.

Pricing: From $49/mo (based on error volume). 14-day free trial. No free tier.

Pros:

• Timeline view provides behavioral context without full session replay
• Extremely lightweight SDK (under 10KB) with minimal performance impact
• Simple, focused interface without feature bloat
• Straightforward pricing without usage surprises

Cons:

• No session replay, heatmaps, or visual debugging
• JavaScript only—no backend, mobile, or multi-language support
• Smaller ecosystem and community than Sentry or Bugsnag
• No free tier

Best for: Small teams or solo developers who want simple, lightweight JavaScript error tracking without the complexity of a larger platform.

How to Choose the Right Error Tracking Tool

With eight strong options, the best choice depends on what your team actually needs. Here's a decision framework:

If you need pure error tracking across multiple languages

Go with Sentry. No other tool matches its breadth of platform support, depth of error management features, and size of ecosystem. It's the default choice for engineering teams that work across multiple languages and need a single error dashboard for everything.

If you need to understand the user context behind errors

Choose Inspectlet or LogRocket. Both pair error tracking with full session replay, so you can watch what users were doing when errors occurred. Inspectlet is the stronger choice if you also need heatmaps, A/B testing, and form analytics. LogRocket is better if you need deep state-management logging (Redux/Vuex) for complex SPAs.

If you ship mobile + web apps

Bugsnag is the best multi-platform option. Its mobile SDKs are genuinely first-class, and the stability score feature gives non-technical stakeholders a clear view of release quality.

If you deploy frequently and need CI/CD correlation

Rollbar offers the tightest integration between error tracking and deployment pipelines. Its pricing is also the most accessible, starting at just $13/mo.

If you want the simplest possible JS error tracking

TrackJS is focused and lightweight. No feature bloat, no complex setup, no steep learning curve. Install the SDK and start catching errors.

If you have enterprise budget and need a complete DX platform

FullStory combines error capture with deep session analytics, frustration signals, and searchable session data. But expect to invest $10,000+ per year and significant time in onboarding.

Frequently Asked Questions

What is JavaScript error tracking?

JavaScript error tracking is the process of automatically capturing, grouping, and alerting on client-side JavaScript errors that occur in users' browsers. When an unhandled exception or promise rejection fires, the tracking tool records the error message, stack trace, browser environment, and (depending on the tool) the user actions leading up to the error. This lets development teams identify and fix bugs that affect real users, even when those users never report the issue. For a deeper dive, see our complete guide to JavaScript error tracking.

Do I need a dedicated error tracking tool if I already have session replay?

It depends on your stack. If you use a session replay tool that also captures JavaScript errors (like Inspectlet or LogRocket), you may not need a separate error tracker for frontend issues. The replay gives you more context than a standalone error tool anyway. However, if you also need to track backend errors, errors across mobile apps, or errors in non-JavaScript services, you'll want a dedicated tool like Sentry or Bugsnag for those surfaces.

How is session replay different from just having stack traces?

A stack trace tells you where code broke and the call chain that led there. Session replay shows you what the user was actually doing—their clicks, navigation, form inputs, scrolling, and visual state of the page—in the moments before and after the error. This behavioral context is often the missing piece when a bug is hard to reproduce: the stack trace is identical across a hundred error occurrences, but the user journeys that trigger it may vary wildly. Replay lets you see those journeys.

Can I use Sentry and Inspectlet together?

Yes, and many teams do. Sentry handles deep error tracking across your full stack (backend, frontend, mobile), while Inspectlet provides session replay, heatmaps, and behavioral context for frontend issues. The two tools complement each other well: use Sentry as your engineering-focused error dashboard and Inspectlet when you need to understand the user experience around a specific error.

What's the difference between error tracking and error logging?

Error logging typically refers to writing error data to a log file or service (like writing to stdout, a log file, or a centralized logging platform). Error tracking goes further: it captures errors with rich context (stack traces, source maps, user data, breadcrumbs), automatically groups duplicate errors, tracks error trends over time, sends real-time alerts, and provides a workflow for triaging and resolving errors. For more detail, see our guide to error logging.