daijro

daijro/camoufox

C++ MPL-2.0 Security Single maintainer risk

🦊 Anti-detect browser

9.9k stars
846 forks
active
GitHub +188 / week

9.9k

Stars

846

Forks

273

Open issues

25

Contributors

AI Analysis

Camoufox is an open-source anti-detect browser built on Firefox for web scraping and AI agent automation. It specializes in bypassing detection systems through fingerprint manipulation and is purpose-built for scraping workflows rather than general-purpose browsing. It serves web scraping professionals, AI practitioners, and automation engineers—not general users or those seeking a standard browser.

Security Application Discovery value: 4/10
Documentation 7/10
Activity 9/10
Community 8/10
Code quality 5/10

Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.

Overall score 7/10

AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.

anti-detect web-scraping fingerprinting automation ai-agents
Actively maintained Niche/specialized use case Popular
Deep Analysis · Based on README and public signals
3w ago

Camoufox patches Firefox at the C++ level to evade browser fingerprinting for scraping and AI agents

Camoufox is an open source anti-detect browser built on a modified Firefox (Gecko) engine that spoofs browser fingerprints — including canvas, WebGL, fonts, screen dimensions, and navigator properties — to bypass bot-detection systems. It targets web scraping developers and AI agent builders who need a realistic, hard-to-detect browser automation footprint. It ships a Python package for Playwright-compatible control and is backed by named sponsors (Scrapfly, SerpApi, Crawlbase), suggesting real commercial traction. Development has transitioned partially to CloverLabs with this repo serving as checkpoint releases.

Origin

Created July 2024, Camoufox grew rapidly from a solo developer project into a sponsored open source tool. Active browser development has since moved to CloverLabsAI, indicating organizational evolution from individual to studio-backed project.

Growth

The project accumulated ~9,500 stars in roughly 23 months, driven by strong demand for open source alternatives to paid anti-detect browsers. PyPI download badges and multiple enterprise sponsors signal it reached scraping practitioners quickly. Trendshift badges indicate at least one period of trending on GitHub. Recent 7-day star gain of 153 suggests continued organic growth rather than a spike-and-drop pattern.

In production

Multiple named commercial sponsors (Scrapfly, SerpApi, Crawlbase, Talordata, Clover Labs) are listed with affiliate codes, indicating real business relationships. PyPI download badges are visible though exact numbers are not captured in the README excerpt. Scrapfly is an established enterprise scraping platform, and their sponsorship implies at least evaluation-level integration. Adoption scale beyond sponsorship is not fully verifiable from available data.

Code analysis
Architecture

Likely a patched Firefox build (C++ at the engine level) combined with a Python wrapper that exposes a Playwright-like async API. The core fingerprint spoofing appears to operate at the browser source level rather than via JavaScript injection, which is architecturally more robust than JS-based approaches. README references a pip package ('camoufox', 'cloverlabs-camoufox') suggesting the Python layer handles launch, configuration, and proxy routing. Active development split between VulpineOS (browser patches) and CloverLabsAI (integration) appears to be an emerging multi-repo architecture.

Tests

not documented in README

Maintenance

Last push was June 16, 2026 — 6 days before evaluation date — indicating active maintenance. README explicitly notes browser development is ongoing at two separate orgs. The explicit alpha warning ('not suitable for stable production use') is honest signaling rather than neglect. Multiple sponsors suggest sustained funding attention.

Honest verdict

ADOPT IF: you build Python-based web scrapers or AI agents that need convincing Firefox fingerprints, can tolerate alpha-stage instability, and want source-level spoofing rather than JS patches. AVOID IF: you need production-grade stability guarantees, require Chromium fingerprints, or cannot manage custom browser binaries in your deployment pipeline. MONITOR IF: you're evaluating long-term anti-detect infrastructure and want to see whether the CloverLabs transition stabilizes the release cadence and resolves the 'not suitable for stable production use' warning.

Independent dimensions

Mainstream potential

4/10

Technical importance

8/10

Adoption evidence

6/10

Risks
  • Project explicitly warns it is not suitable for stable production use — teams with uptime requirements should treat this as a real constraint, not boilerplate.
  • Development has split across multiple repositories (daijro, CloverLabsAI, VulpineOS), which increases coordination risk and may fragment community contributions.
  • Firefox's market share in anti-bot detection datasets is smaller than Chrome's, meaning some detection systems may not have strong Firefox fingerprint models — a double-edged advantage that could change.
  • Anti-detect browsers engage in an ongoing arms race with detection vendors; patches valid today may require frequent Firefox source rebases, creating sustained maintenance burden.
  • Dependency on sponsor ecosystem (Scrapfly, Crawlbase, etc.) means if commercial interest wanes, maintenance momentum could slow — though current signals are positive.
Prediction

Likely to stabilize into a well-regarded open source anti-detect tool for the scraping niche as CloverLabs investment matures. Mainstream adoption beyond scraping practitioners appears unlikely given the complexity of managing custom browser binaries.

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Languages

C++
50.7%
Python
21.3%
JavaScript
14.1%
TypeScript
5.4%
QML
2.6%
Go
2%
Shell
1.8%
HTML
0.7%

Information

Language
C++
License
MPL-2.0
Last updated
4d ago
Created
24mo ago
Analyzed with
anthropic/claude-haiku-4-5

Stars over time

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Contributors over time

Top 100 contributors only — repos with more will plateau at 100.

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vs. alternatives
BotBrowser (botswin)

TypeScript-based, similar anti-detect positioning with 2.5K stars. Camoufox has nearly 4x the stars and appears more mature. BotBrowser's Chromium base may suit Chrome-fingerprint targets better, while Camoufox targets Firefox fingerprint profiles.

CloakHQ/CloakBrowser

26.8K stars, Python — likely more adopted but details are uncertain; possible the star count reflects broader visibility. Camoufox differentiates by being fully open source with source-level patches vs. potentially closed or JS-injection approaches.

Playwright-stealth / invisible_playwright

JS-injection based stealth, easier to integrate but easier to detect since patches live in JS space. Camoufox's C++ level patches are architecturally harder to fingerprint-detect, at the cost of requiring a custom browser binary.

jo-inc/camofox-browser

7K stars, JavaScript — appears to be a related or forked concept. The naming similarity is notable; relationship to daijro/camoufox is unclear from available metadata.

Paid anti-detect browsers (Multilogin, GoLogin)

Commercial SaaS products with managed profiles and support. Camoufox offers the open source equivalent with more control but requires self-hosting, binary management, and tolerance for alpha-stage stability.