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rrweb VS git-sizer

Compare rrweb VS git-sizer and see what are their differences

rrweb

#1 open source session recording & replay library

Rating
0 reviews
Pricing
Open source Freemium Free trial
Alternatives Is it good?
git-sizer

Compute various size metrics for a Git repository, flagging those that might cause problems - github/git-sizer

Rating
0 reviews
Alternatives Is it good?
Measure.sh
Measure helps mobile teams monitor and fix crashes, ANRs, bugs, and performance issues. The open source alternative to Firebase Crashlytics. sponsored
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, git-sizer seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
Web Analytics popularity
100% vs 0%

Base details

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

rrweb
git-sizer
Website rrweb.com github.com
Pricing
Open source Freemium Free trial Official pricing
—
Listed in
Heatmaps Web Analytics User Monitoring User Experience Session Recording And Playback Session Recording +3
Git Code Collaboration Git Tools

About rrweb and git-sizer

In their own words, as submitted to SaaSHub.

rrweb
git-sizer

Embeddable session replay infrastructure on the open source library the industry standardized on. Record and replay sessions inside your own product, through an unbranded SDK and API.

Read more about rrweb

No description of git-sizer yet.

Features and specs

What each product offers, as listed by its team.

rrweb 5 features
git-sizer 5 features
  • Full Video Recording Capability
    rrweb can record and replay the whole web app experience through videos, allowing for comprehensive playback of user interactions.
  • High Fidelity Replays
    It captures almost all kinds of interactions and DOM state changes, offering very accurate reproduction of user sessions.
  • Event Compression
    The tool employs efficient event compression techniques, reducing the size of data files while maintaining detailed interactions.
  • Modular Architecture
    Its modular architecture allows developers to customize and extend functionalities according to specific needs by adding or removing plugins.
  • Open Source
    rrweb is open source, making it accessible for anyone to use, modify, or contribute to, which fosters a collaborative development environment.
  • Comprehensive Repository Analysis
    git-sizer analyzes many different dimensions of a Git repository including commit count, tree size, blob size, history depth, and reference counts, providing a holistic view of repository health and potential scaling issues.
  • Easy to Use
    The tool is simple to run with minimal setup—just execute it within a git repository—and it produces clear, human-readable output that highlights potential problem areas without requiring complex configuration.
  • Identifies Performance Bottlenecks
    It helps identify specific issues that could degrade Git performance, such as excessively large blobs, deep history, large trees, or too many references, which is valuable before migrating or scaling repositories.
  • Open Source and Maintained by GitHub
    Being an official GitHub project, it benefits from credibility, community trust, and ongoing maintenance, and it is well documented with clear explanations of what each metric means.
  • Useful for Pre-Migration Checks
    It's particularly helpful for teams migrating repositories to new platforms or consolidating repos, as it flags potential issues that could cause problems during migration or with hosting providers' limits.

Possible disadvantages

  • No Automatic Remediation
    git-sizer only identifies and reports issues but does not offer any built-in tools or automated processes to fix problems like large blobs or excessive history depth—users must use separate tools like BFG Repo-Cleaner or git-filter-repo.
  • Output Can Be Overwhelming for Beginners
    While detailed, the output includes many metrics and threshold levels that may be confusing for users unfamiliar with Git internals, requiring some learning curve to fully interpret results.
  • Limited to Local Analysis
    The tool analyzes a local clone of the repository, so it requires users to have a full local copy of the repo (or at least enough history) to get accurate results, which can be time-consuming for very large repositories.
  • No Real-Time Monitoring
    It functions as a one-time analysis tool rather than providing continuous or real-time monitoring of repository health, requiring manual reruns to track changes over time.
  • Command-Line Only Interface
    The tool lacks a graphical user interface, which may be less accessible for users who prefer visual dashboards or are less comfortable with command-line tools.

Analysis

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

rrweb
git-sizer

No analysis of rrweb yet.

Overall verdict

  • git-sizer is a solid, focused open-source tool that effectively analyzes Git repositories to identify size and structural issues that could cause performance problems or hosting limits, making it a valuable diagnostic utility for repository maintenance.

Why this product is good

  • Quickly identifies large blobs, deep histories, and other repository bloat issues that impact performance
  • Simple command-line tool with no complex setup or dependencies required
  • Provides clear, actionable metrics about repository size and structure
  • Backed by GitHub, ensuring credibility and ongoing relevance to Git ecosystem needs
  • Helps proactively catch issues before they cause problems with hosting platforms or clone/fetch performance
  • Open source and actively maintained with community input

Recommended for

  • Repository administrators managing large or growing codebases
  • Teams migrating repositories to new hosting platforms with size limits
  • Developers troubleshooting slow clone, fetch, or checkout operations
  • DevOps engineers auditing repository health before major infrastructure changes
  • Organizations enforcing repository size policies or best practices
  • Anyone dealing with repositories that have accumulated large binary files or excessive history over time

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
rrweb
git-sizer
100% 100%
Web Analytics
0% 0%
0% 0%
Git
100% 100%
100% 100%
Heatmaps
0% 0%
0% 0%
Code Collaboration
100% 100%

Questions & Answers

As answered by people managing rrweb and git-sizer.

Why should a person choose your product over its competitors?

rrweb's answer

Most session replay vendors are building on the engine we maintain. Choosing rrweb means owning that layer directly.

What that gets you in practice: events are plain JSON, so you store them in your own S3, Postgres or stream, keep them in the EU, and delete them on your own schedule. There's no lock-in at the recorder, because if you leave rrweb Cloud your recordings still replay in an open source player. And the plugin API lets you capture things a closed SaaS recorder will never expose, including canvas, WebGL and custom event types.

Where a competitor wins: if you want replay bundled with product analytics, error monitoring and heatmaps in one dashboard, and you never want to think about infrastructure, a full suite like PostHog or Sentry does more out of the box. Several of them sponsor rrweb, and we'd rather people use the right tool than the closest one.

How would you describe the primary audience of your product?

rrweb's answer

Two groups.

Product engineers who need replay inside something they're already building: bug reporting, customer support tooling, QA, AI agent observability, interactive demos. They install the library, own the pipeline, and want format-level control.

Platform teams at companies whose product is replay, or includes it. Observability vendors, analytics suites, co-browsing and customer experience tools. They embed rrweb as the capture layer instead of writing a recorder from scratch, which takes years to get right across browsers, shadow DOM, canvas, iframes and web components.

What's the story behind your product?

rrweb's answer

rrweb started in 2018 as one engineer's side project. Yanzhen Yu wanted to record and replay what users actually did in a browser, and published the result under MIT. There's a short documentary about how it came together, in Chinese with English subtitles.

Adoption moved faster than anyone planned for. A core team formed around the project in 2020, and Justin Halsall (Amsterdam), Eoghan Murray (Dublin) and Yun Feng (San Francisco) maintain it today alongside more than 100 contributors. The library now sits at close to 20,000 stars and powers the replay features inside some of the largest observability and analytics products on the market.

The awkward part of that success is that an MIT library carrying replay for billion-dollar companies was still being maintained on evenings and weekends. rrweb Cloud exists to fix that. It's the hosted version of the project, built by the maintainers, based in Amsterdam, and the logic is simple: revenue from Cloud pays for maintainer time on the open source library.

Which are the primary technologies used for building your product?

rrweb's answer

The library is roughly 89% TypeScript, deliberately so. Record and replay share a strongly typed event schema, and those types are the contract between the two sides. The remainder is JavaScript, HTML test fixtures, and Svelte for the player UI.

Four packages:

rrweb-snapshot, which serializes the DOM and its state into a JSON tree and rebuilds it rrweb, the record and replay functions rrdom, a virtual DOM that makes replay faster and testable headlessly rrweb-player, the player UI

Underneath it leans on browser primitives: MutationObserver for DOM changes, event listeners for input, scroll and pointer activity, CSSOM for stylesheet state, and patched canvas contexts for 2D and WebGL capture. Events are plain JSON, optionally packed for transport.

Build and test tooling is Yarn, Turborepo, Vite, Vitest, Puppeteer for integration tests, and Changesets for releases. MIT licensed throughout.

Who are some of the biggest customers of your product?

rrweb's answer

Sentry Datadog PostHog Amplitude Mixpanel New Relic Pendo Highlight Browserbase StatCounter Requestly Gleap Bird Eats Bug Navattic CUX UXWizz Analyzee SmartX

Sentry, PostHog, Pendo and Highlight also fund the project as sponsors on OpenCollective.

What makes your product unique?

rrweb's answer

rrweb is the recording engine most session replay products are built on. Sentry, PostHog, Pendo, Highlight, Mixpanel, Datadog, Amplitude and New Relic all ship replay built on rrweb or its approach.

It serializes the DOM into a typed JSON event stream: one full snapshot, then timestamped incremental mutations. There is no video. Replay rebuilds the actual page in a browser, so text stays selectable, CSS re-renders at any viewport, and a three-minute session weighs kilobytes instead of megabytes. Because the output is structured JSON, an LLM can read a session directly without a vision model in the loop.

It's MIT licensed with close to 20,000 GitHub stars, so the capture layer is yours to own. rrweb Cloud is the hosted backend from the same maintainers, for teams who don't want to run ingestion, storage and replay infrastructure themselves.

User comments

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Social recommendations and mentions

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

rrweb 0 mentions
git-sizer 1 mention

Tracking rrweb since Mar 2021.

  • how to keep github repos small?
    Also there’s a cool project from GitHub you can use to help understand the size of git’s objects in your git repo https://github.com/github/git-sizer. This might help you determine what the best cloning strategy could be. Source: almost 5 years ago

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