Software Alternatives & Startups

Google's Python Class VS Measure.sh

Compare Google's Python Class VS Measure.sh and see what are their differences

Google's Python Class

Assorted educational materials provided by Google.

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)
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Google's Python Class seems to be more popular. It has been mentioned 23 times since March 2021.

social mentions
23 vs 0
Online Learning popularity
100% vs 0%
alternatives listed
57 vs 9

Base details

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

Google's Python Class
Measure.sh
Website developers.google.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 Google's Python Class and Measure.sh

In their own words, as submitted to SaaSHub.

Google's Python Class
Measure.sh

No description of Google's Python Class 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.

Google's Python Class 5 features
Measure.sh 8 features
  • Free Access
    The class is available for free online, making it accessible to anyone with internet access who is interested in learning Python.
  • Beginner-Friendly
    Designed for people with little or no coding experience, the class starts with the basics of Python programming, making it ideal for beginners.
  • Comprehensive Content
    Covers a wide range of topics from basic syntax to advanced functions, data structures, and more, providing a well-rounded introduction to Python.
  • Hands-On Exercises
    Includes exercises and code examples that allow learners to practice and apply what they've learned, reinforcing comprehension and retention.
  • Google-Endorsed Quality
    As a course offered by Google, learners can trust that the material is presented clearly and structured effectively by industry experts.

Possible disadvantages

  • Outdated Information
    Some of the materials and examples may be outdated, as Python and its libraries have evolved over time, possibly leading to confusion for learners expecting the latest practices.
  • Lack of Interactivity
    The static nature of the materials, such as downloadable slides and text resources, might not engage all learning styles as effectively as interactive platforms would.
  • Limited Advanced Topics
    While comprehensive for beginners, the class might not delve deeply into more advanced topics, which could limit its usefulness for intermediate or advanced learners.
  • Prerequisite Knowledge
    Assumes some familiarity with general programming concepts, which might be a hurdle for absolute beginners who have no coding background.
  • No Formal Certification
    Completing the class does not provide a recognized certification, which may be a downside for those looking to add credentials to their professional profiles.
  • 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.

Google's Python Class 0 videos + Add
Measure.sh 1 video + Add

No Google's Python Class 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
Google's Python Class
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 Google's Python Class 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 Google's Python Class 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.

Google's Python Class no reviews yet
Measure.sh 5.0 · 1 review

We have no reviews of Google's Python Class 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.

Google's Python Class 23 mentions
Measure.sh 0 mentions
  • THE FIRST STEP
    Decided to write this post. I will be studying from: 1)https://developers.google.com/edu/python 2)https://www.py4e.com/ 3)https://realpython.com/. - Source: dev.to / about 1 year ago
  • [AMA] Gano $200,000+ MXN al mes a mis 23 años
    Https://youtu.be/rfscVS0vtbw Https://developers.google.com/edu/python/. Source: over 3 years ago
  • Best resources to learn Python?
    The original Google Python crash course was made for people like you in mind! Self paced with exercises set up for you to jump right in. Source: over 3 years ago

View more

Tracking Measure.sh since Sep 2026.

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