Software Alternatives & Startups

TrackJS JavaScript Error Logging VS Measure.sh

Compare TrackJS JavaScript Error Logging VS Measure.sh and see what are their differences

TrackJS JavaScript Error Logging

JavaScript Error Monitoring from TrackJS gives you context about what's happening in your end-users' browsers.

Rating
0 reviews
Measure.sh

Measure helps mobile teams monitor and fix crashes, ANRs, bugs, and performance issues. The open source alternative to Firebase Crashlytics.

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial $25 / Monthly (25GB of log/metric/ traces/session replay)

Which is more popular?

Error Tracking popularity
100% vs 0%
alternatives listed
40 vs 9

Base details

Website, pricing, platforms and company facts side by side.

TrackJS JavaScript Error Logging
Measure.sh
Website tkjs.us measure.sh
Pricing —
Open source Freemium Free trial $25 / Monthly (25GB of log/metric/ traces/session replay) Official pricing
Platforms —
React Native Android iOS Flutter Kotlin Multiplatform +2
Company — Startup from the United States · 1 - 9 employees · 2024
Listed in

About TrackJS JavaScript Error Logging and Measure.sh

In their own words, as submitted to SaaSHub.

TrackJS JavaScript Error Logging
Measure.sh

No description of TrackJS JavaScript Error Logging yet.

Measure is an open source mobile observability platform built for production debugging. It helps mobile teams find and fix crashes, ANRs, UI freezes, slow API chains and edge-case state bugs, the failures that crash reporters never show you. Most crash tools tell you that an app broke. Measure...

Read more about Measure.sh

Features and specs

What each product offers, as listed by its team.

TrackJS JavaScript Error Logging 5 features
Measure.sh 8 features
  • Real-time Error Tracking
    TrackJS offers real-time insights into JavaScript errors, allowing developers to identify and address issues quickly as they arise.
  • User Context
    Provides detailed context about the user and the application's state at the time of the error, which is crucial for reproducing and fixing bugs.
  • Simple Integration
    TrackJS can be easily integrated into applications, requiring minimal setup to start monitoring errors.
  • Error Filtering
    Allows developers to filter and prioritize errors based on various criteria, making it easier to focus on the most critical issues.
  • Customer Support
    Offers excellent customer support to help developers troubleshoot and maximize the tool's potential.

Possible disadvantages

  • Pricing
    May be considered expensive for smaller projects or startups with limited budgets compared to some open-source or lower-cost alternatives.
  • Data Privacy
    Like any error tracking service, it requires sending data to third-party servers, which might be a concern for projects with strict data privacy requirements.
  • Complexity with Custom Errors
    Handling and configuring custom errors can be complex for advanced use cases, potentially requiring extra effort from developers.
  • Learning Curve
    While integration is generally straightforward, some developers may experience a learning curve in fully utilizing all of TrackJS's features.
  • Crash Reporting
    Crashes and ANRs with symbolicated stacktraces, grouping and version impact
  • Session Replay
    Session Timeline replays every user action, screen, network call, log and system metric
  • Performance Monitoring
    Traces, app launch times, network latency and app health metrics per release
  • Bug Reporting
    Shake the device to file a bug, attached to the full session that led to it
  • Network Monitoring
    Request latency, status codes and failing endpoints, tied to the session
  • User Journeys
    See how users move between screens and where they drop off
  • AI Debugging
    Measure Agent plus an MCP server so coding agents can read production sessions
  • Adaptive Capture
    Dial data collection up or down remotely, without shipping a new release

Videos

Walkthroughs and reviews on video.

TrackJS JavaScript Error Logging 0 videos + Add
Measure.sh 1 video + Add

No TrackJS JavaScript Error Logging videos yet. You could help us improve this page by suggesting one.

Measure.sh: open source crash and performance monitoring for mobile apps (demo)

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
TrackJS JavaScript Error Logging
Measure.sh
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
APM
100% 100%

Questions & Answers

As answered by people managing TrackJS JavaScript Error Logging and Measure.sh.

Who are some of the biggest customers of your product?

Measure.sh's answer:

Porsche, Astro, Hoichoi

What's the story behind your product?

Measure.sh's answer:

Measure grew out of a problem its founders kept running into. Between them they had led mobile engineering at companies including Gojek, Rapido and Groww, including the years when Gojek's app scaled from around 10,000 to 35 million daily active users. At each company they ended up building similar internal tooling to answer the same question: why is the app slow, frozen or broken for a real user in production when crash reporting shows nothing wrong? After rebuilding versions of the same tool more than once, they decided to apply the DRY principle to the problem itself and turn it into a product instead of another internal project. Measure was released publicly in September 2024 and is developed in the open under the Apache 2.0 license, with the roadmap and issues visible on GitHub.

How would you describe the primary audience of your product?

Measure.sh's answer:

Mobile engineering teams running consumer apps in production, especially at high growth companies where app quality has a direct effect on revenue and retention. Typical users are Android and iOS engineers, mobile platform and foundation teams, mobile leads and engineering managers who are accountable for crash free rates, ANRs, startup time and release health, along with the CTOs and VPs of Engineering who own those outcomes. Because Measure is open source and can be self hosted, it also fits teams with strict data residency or privacy requirements, and smaller teams looking for an open alternative to Firebase Crashlytics.

What makes your product unique?

Measure.sh's answer:

Measure.sh is an open source observability platform built specifically for mobile apps, rather than a mobile SDK attached to a backend monitoring product. Its defining capability is the session timeline, which reconstructs a complete user session including interactions, navigations, network calls, logs, lifecycle events and CPU and memory signals. This allows teams to diagnose problems that never produce a crash, such as ANRs, UI freezes, slow API chains and edge case state bugs. Measure also provides Adaptive Capture, which lets teams change what data is collected remotely without shipping an app update, and an MCP server that exposes crashes, traces and sessions to coding agents. It is available as a managed cloud service or fully self hosted, and is licensed under Apache 2.0.

Why should a person choose your product over its competitors?

Measure.sh's answer:

  • Mobile first by design. Measure is built by mobile engineers for mobile teams, not adapted from a web or backend APM tool.
  • Full session context. Session replays and timelines show the user actions, navigations, network calls and logs that led to an issue, not just a stack trace.
  • Coverage beyond crashes. Crashes, ANRs, performance traces, network performance, bug reports, user journeys and app health metrics live in a single dashboard.
  • Open source and self hostable. Apache 2.0 licensed, so teams can keep all app and user data inside their own infrastructure.
  • Cost control. Per GB pricing combined with Adaptive Capture, which lets teams increase data collection during a risky release and reduce it afterwards without shipping an app update.
  • Broad platform support. Android, iOS, Flutter, React Native and Kotlin Multiplatform.
  • Agent ready. An MCP server exposes errors, traces and session data to coding agents and Slack for natural language debugging.

Which are the primary technologies used for building your product?

Measure.sh's answer:

  • Backend services: Go
  • Dashboard: TypeScript, React and Next.js
  • Data stores: ClickHouse for events, sessions and traces, PostgreSQL for application data
  • Streaming and caching: Apache Iggy and Valkey
  • Object storage: S3 compatible storage, with MinIO used in self hosted deployments
  • Symbolication: Symbolicator for native and mobile stack traces
  • SDKs: Kotlin for Android, Swift for iOS, Dart for Flutter, and TypeScript for React Native, plus Kotlin Multiplatform support
  • Deployment: Docker and Docker Compose for self hosting
  • License: Apache 2.0, with the full source available on GitHub at github.com/measure-sh/measure

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

TrackJS JavaScript Error Logging no reviews yet
Measure.sh 5.0 · 1 review

We have no reviews of TrackJS JavaScript Error Logging yet. Be the first one to post

  • Modern and AI native tooling for observability of mobile apps
    SaaSHub review
    · Sep 2026

    If you're looking for a modern and AI native tool for observability of mobile apps, then measure.sh is the right choice for the job It has a lot of innovative tools and a very nice dashboard for the same "Session...

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