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Measure.sh VS GitHub Copilot

Compare Measure.sh VS GitHub Copilot and see what are their differences

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)
Alternatives Is it good?
GitHub Copilot

Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.

Rating
5.0 · 1 review
Alternatives Is it good?
Jaah
Jaah is Just Another Agentic Harness, for production-grade AI-generated code. Coding agents write the code. Jaah makes it production-grade. sponsored

Which is more popular?

Based on our record, GitHub Copilot seems to be more popular. It has been mentioned 389 times since March 2021.

social mentions
0 vs 389
user rating
5.0 vs 5.0
User Monitoring popularity
100% vs 0%
alternatives listed
9 vs 240+

Base details

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

Measure.sh
GitHub Copilot
Website measure.sh github.com
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 Startup from the United States
Listed in
Observability APM Error Monitoring Mobile Analytics Bug Reporting User Monitoring Monitoring Tools Developer Tools Error Tracking Exception Monitoring Crash Reporting +8
Developer Tools Coding Code Autocomplete GitHub AI Assistant AI +3

About Measure.sh and GitHub Copilot

In their own words, as submitted to SaaSHub.

Measure.sh
GitHub Copilot

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

Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.

Read more about GitHub Copilot

Features and specs

What each product offers, as listed by its team.

Measure.sh 8 features
GitHub Copilot 5 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
  • Productivity Boost
    GitHub Copilot helps developers write code faster by providing intelligent suggestions and automating repetitive tasks. This can save significant time and reduce the cognitive load on developers.
  • Learning Tool
    For less experienced developers, Copilot can serve as a learning tool by suggesting best practices and introducing them to new coding patterns and techniques.
  • Support for Multiple Languages
    Copilot supports a wide range of programming languages, making it a versatile tool for developers working in different tech stacks.
  • Context-Aware Suggestions
    Copilot offers context-aware suggestions based on the code that has been written so far, making its recommendations relevant to the current development task.
  • Integration with GitHub
    Seamless integration with GitHub simplifies the development workflow, enabling smoother transitions from coding to version control and collaboration.

Possible disadvantages

  • Code Quality Concerns
    The quality of the code generated by Copilot may vary, and it might introduce suboptimal code or practices that could lead to maintenance challenges.
  • Security Risks
    Copilot might suggest insecure code patterns or snippets, potentially introducing vulnerabilities into the project if not carefully reviewed by the developer.
  • Dependence on AI
    Over-reliance on Copilot's suggestions can lead to a lack of deep understanding of the code, which may hinder a developer's growth and problem-solving skills.
  • Licensing and Code Reuse Issues
    There are concerns about the legality and ethics of using AI-generated code snippets that might be derived from copyrighted sources, which can lead to licensing issues.
  • Limited Customizability
    Copilot may not always align with specific coding standards or preferences of a development team, and the ability to customize its behavior to enforce such standards is limited.

Analysis

An editorial look at what each product does well and who it suits.

Measure.sh
GitHub Copilot

No analysis of Measure.sh yet.

Overall verdict

  • Overall, GitHub Copilot is a beneficial tool for many developers, especially those looking to increase their productivity and experiment with new coding styles. It can be seen as an intelligent coding assistant that complements a developer's workflow rather than replaces it.

Why this product is good

  • GitHub Copilot is considered good by many because it provides AI-assisted code completion and suggestions, which can significantly speed up coding tasks and improve productivity. It leverages OpenAI's advanced language models to offer context-aware snippets and solutions that can help developers write code more efficiently, reduce errors, and explore new coding approaches.

Recommended for

  • Software developers seeking to increase productivity
  • Beginner programmers looking for contextual code suggestions
  • Experienced developers interested in exploring and discovering alternative coding solutions
  • Teams aiming to standardize code quality and reduce time spent on routine coding tasks

Videos

Walkthroughs and reviews on video.

Measure.sh 1 video + Add
GitHub Copilot 5 videos + Add

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

Game over… GitHub Copilot X announced

More videos

  • - The New GitHub Copilot X Powered by GPT-4 is Here!
  • - GitHub Copilot X -- AI Programming Gets Better... and Scary.
  • - GitHub Copilot Review 2023: I Love It, But It's Not For Everyone
  • - Is Github Copilot Worth Paying For??

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
Measure.sh
GitHub Copilot
100% 100%
User Monitoring
0% 0%
0% 0%
Developer Tools
100% 100%
100% 100%
Mobile Analytics
0% 0%
0% 0%
AI
100% 100%

Questions & Answers

As answered by people managing Measure.sh and GitHub Copilot.

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

Share your experience with using Measure.sh and GitHub Copilot. For example, how are they different and which one is better?

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Reviews and articles

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

Measure.sh 5.0 · 1 review
GitHub Copilot 5.0 · 1 review
  • 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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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Measure.sh 0 mentions
GitHub Copilot 389 mentions

Tracking Measure.sh since Sep 2026.

  • Every $20 AI subscription costs about $100 to serve. The bill is coming.
    I build Browy, an open-source AI agent that lives In a Chrome side panel and a DevTools REPL. It drives the real browser Tabs you have open. The thing it does not have is its own subscription. It uses your existing GitHub Copilot... - Source: dev.to / 21 days ago
  • Test smarter with Snagly: 30 open-source QA skills for AI coding agents
    Snagly is a free, MIT-licensed set of 30 skills for AI coding agents — GitHub Copilot, Claude Code, Cursor, Codex and 70+ others — that turn "an AI that can drive a browser" into "an AI that tests like a QA professional." A skill, if you... - Source: dev.to / 2 months ago
  • I almost credited llms.txt for a Google AI Mode win. Then I read what Google actually says.
    Where llms.txt genuinely gets read is a different layer: coding and agent tooling — Cursor, Claude Code, GitHub Copilot, Windsurf — pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's... - Source: dev.to / 4 months ago

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Alternatives to Measure.sh and GitHub Copilot

When comparing Measure.sh and GitHub Copilot, you can also consider the following products.

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