Software Alternatives & Startups

Code Inspector VS Measure.sh

Compare Code Inspector VS Measure.sh and see what are their differences

Code Inspector

Code Inspector is a platform that helps developers and managers to deliver better code. Main features: - Automated Code Review - Historical values of software metrics - Evaluation of technical debt

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?

Based on our record, Code Inspector seems to be more popular. It has been mentioned 5 times since March 2021.

social mentions
5 vs 0
Code Quality popularity
100% vs 0%
alternatives listed
15 vs 9

Base details

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

Code Inspector
Measure.sh
Website code-inspector.com 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 Code Inspector and Measure.sh

In their own words, as submitted to SaaSHub.

Code Inspector
Measure.sh

No description of Code Inspector 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.

Code Inspector 0 features
Measure.sh 8 features

No features have been listed yet.

  • 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

Analysis

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

Code Inspector
Measure.sh

Overall verdict

  • Code Inspector (now part of Datadog as Datadog Code Analysis/Datadog Static Analysis) is a solid static code analysis tool that helps teams catch code quality issues, security vulnerabilities, and maintain consistent coding standards across their projects.

Why this product is good

  • Provides automated static code analysis to detect bugs, code smells, and security vulnerabilities early
  • Supports multiple programming languages, making it versatile for polyglot codebases
  • Integrates with popular version control and CI/CD platforms like GitHub, GitLab, and Bitbucket
  • Offers customizable rules and coding standards to fit your team's specific needs
  • Delivers real-time feedback directly in pull requests to speed up code reviews
  • Backed by Datadog after acquisition, offering stronger enterprise support and integration into a broader observability platform

Recommended for

  • Development teams wanting to enforce consistent coding standards
  • Organizations focused on improving code quality and reducing technical debt
  • Teams needing automated security vulnerability detection in their code
  • Companies already using or considering the Datadog ecosystem
  • Projects with multiple programming languages requiring unified analysis
  • DevOps teams looking to shift security and quality checks left in their CI/CD pipelines

No analysis of Measure.sh yet.

Videos

Walkthroughs and reviews on video.

Code Inspector 3 videos + Add
Measure.sh 1 video + Add

Automated Code Reviews with Code Inspector

More videos

  • - Automated Code Review on GitHub with Code Inspector
  • - Static Code Analysis with Code Inspector

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
Code Inspector
Measure.sh
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing Code Inspector 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

Share your experience with using Code Inspector and Measure.sh. 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.

Code Inspector no reviews yet
Measure.sh 5.0 · 1 review

We have no reviews of Code Inspector 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...

Social recommendations and mentions

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

Code Inspector 5 mentions
Measure.sh 0 mentions
  • Code Review process
    Psss, for automated code review, check out Code Inspector to get started for free analyzing your code quality and calculating your tech debt in your projects at GitHub or GitLab or BitBucket. - Source: dev.to / over 5 years ago
  • How do code reviews help you reduce your technical debt? 🤓
    Overall, no need for "code reviewing by hand" all the time, remember there are automated tools. Code Inspector an automated code review, not only shows the quality code and possible issues according to international standards, but also... - Source: dev.to / over 5 years ago
  • Code Inspector, winner at first-ever Latinas in Tech startup competition
    Code Inspector, Techstars Boulder 2021, helps developers write better code, faster. Co-founded by Jessica Mercedes and Julien Delange, Code Inspector, is the platform that scans for violations and security issues in the code to avoid... - Source: dev.to / over 5 years ago

View more

Tracking Measure.sh since Sep 2026.

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