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Debuggix.space VS DeepScan

Compare Debuggix.space VS DeepScan and see what are their differences

Debuggix.space

secure your code from vulnerabilities

Rating
0 reviews
Pricing
Freemium $29 / Monthly (Pro option)
Alternatives Is it good?
DeepScan

DeepScan is a static analysis tool for JavaScript that helps you to find security vulnerabilities and programming mistakes in your code.

Rating
0 reviews
Alternatives Is it good?
SquadPrime
Free MVP cost calculator: describe your app in 5 clicks and get a realistic 2026 estimate for a freelancer build, a traditional agency and a fixed-price 14-day build by senior professionals, where the client owns the code. 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, DeepScan should be more popular than Debuggix.space. It has been mentioned 2 times since March 2021.

social mentions
1 vs 2
Developer Tools popularity
100% vs 0%
alternatives listed
9 vs 52

Base details

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

Debuggix.space
DeepScan
Website debuggix.space deepscan.io
Pricing
Freemium $29 / Monthly (Pro option)
Official pricing
Company 1 - 9 employees · 2026 —
Listed in
Developer Tools Coding Code Security Web Application Security Vulnerability Scanner AI +3
Development Code Analysis Code Coverage Code Review +1

About Debuggix.space and DeepScan

In their own words, as submitted to SaaSHub.

Debuggix.space
DeepScan

Debuggex is a security platform that runs 9 specialized engines against your codebase in parallel, then uses AI to generate working fixes — not just a list of problems. Paste a GitHub repo URL or upload a ZIP. In about 60 seconds, Semgrep, Gitleaks, Trivy, Bandit, ESLint, Hadolint, Checkov,...

Read more about Debuggix.space

No description of DeepScan yet.

Features and specs

What each product offers, as listed by its team.

Debuggix.space 18 features
DeepScan 5 features
  • Security Engines
    9 engines: Semgrep, Bandit, Gitleaks, TruffleHog, Trivy, ESLint, Hadolint, Checkov, OSV-Scanner
  • Scan Time
    60-180 seconds (9 engines running in parallel)
  • AI Noise Filtering
    Reads README.md + SECURITY.md to classify findings as Needs Attention or Reviewed
  • Known Vulnerable Repo Detection
    Auto-detects deliberately vulnerable apps (Juice Shop, DVWA, WebGoat, nodejs-goof)
  • Severity Classification
    Critical, High, Medium, Low with color-coded left borders
  • Confidence Scoring
    AI assigns 0-100% confidence to every finding
  • Semantic Deduplication
    Merges duplicate findings across engines into single issues
  • GitHub Integration
    OAuth login, private repo scanning, auto-create fix PRs
  • Workspace
    View findings, generate AI fixes, open in github.dev or Codespaces
  • Public Reports
    Shareable scan reports with no code exposed
  • Security Badge
    Dynamic SVG badge with neon shield logo — updates on re-scan
  • Hall of Fame
    Public verified repos page with documented findings
  • 9 Engine Coverage
    Source code · Dependencies · Dockerfiles · Infrastructure as Code · Git history secrets
  • Supported Languages
    Python, JavaScript, TypeScript, Go, Java, Ruby, PHP, Rust, C/C++, and more
  • Prompt Injection Protection
    AI prompts sanitized — repo content cannot override classification
  • Cache-Control Headers
    Badge images auto-refresh on re-scan with no-cache headers
  • CORS Support
    Badge endpoints include Access-Control-Allow-Origin for cross-domain embedding
  • Pricing
    Free: 10 public scans/month · Pro: 100 private scans ($29/mo) · Pro+: 500 scans ($50/mo)
  • Comprehensive Static Analysis
    DeepScan provides an in-depth static analysis of JavaScript and TypeScript code, identifying a wide range of issues from style violations to potential run-time errors.
  • Easy Integration
    It seamlessly integrates with popular version control systems like GitHub, Bitbucket, and GitLab, making it easy to incorporate into existing workflows.
  • Visual Reporting
    Offers visually appealing and informative reports that help developers understand code issues quickly and effectively prioritize them.
  • Real-Time Analysis
    Provides real-time feedback during the development process, allowing developers to address issues as they code.
  • Supports Team Collaboration
    Features collaboration tools that enable team members to review and discuss code issues collectively.

Possible disadvantages

  • Limited to JavaScript/TypeScript
    DeepScan focuses solely on JavaScript and TypeScript, which may not be suitable for projects involving a wider variety of languages.
  • Learning Curve for Customization
    While powerful, setting up custom rules and configurations can involve a learning curve for new users who want tailored analysis.
  • Pricing Concerns
    Some users might find subscription pricing a concern, especially for small projects or individual developers.
  • Internet Dependency
    As a cloud-based tool, it requires an internet connection, which may pose issues for developers working in restricted environments.
  • Possible Overhead
    The integration of DeepScan, especially in large projects, may introduce additional overhead in terms of performance during analysis.

Analysis

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

Debuggix.space
DeepScan

Overall verdict

  • Debuggix.space is not a widely recognized or well-documented platform, so it's difficult to confirm its legitimacy, quality, or reliability based on established reputation or verifiable track record. Users should exercise caution and conduct thorough due diligence before engaging with this service.

Why this product is good

  • Limited public information, reviews, or third-party coverage available to verify claims
  • No established track record or brand recognition in the debugging/development tools space
  • Unable to confirm security practices, data handling policies, or company legitimacy
  • Lack of verifiable user testimonials or case studies to assess real-world performance

Recommended for

  • Users comfortable testing unproven or niche tools with appropriate caution
  • Developers willing to conduct independent research before committing sensitive code or data
  • Those seeking alternative or experimental debugging solutions outside mainstream options
  • Not recommended for critical production environments without further verification

No analysis of DeepScan yet.

Videos

Walkthroughs and reviews on video.

Debuggix.space 2 videos + Add
DeepScan 0 videos + Add

Testing the scanner on OWASP

More videos

  • - Scanned on of the most famous repos on github

No DeepScan videos yet. You could help us improve this page by suggesting one.

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
Debuggix.space
DeepScan
100% 100%
Developer Tools
0% 0%
0% 0%
Code Coverage
100% 100%
100% 100%
AI
0% 0%
0% 0%
Code Analysis
100% 100%

Questions & Answers

As answered by people managing Debuggix.space and DeepScan.

What makes your product unique?

Debuggix.space's answer

Debuggix is the only platform that runs 9 specialized security scanners in parallel and uses AI to generate working code fixes — not just a list of problems — in under 60 seconds.

Why should a person choose your product over its competitors?

Debuggix.space's answer

Traditional security tools only find vulnerabilities and leave developers with hours of manual fixing. Debuggix both finds AND fixes by orchestrating Semgrep, Gitleaks, Trivy, Bandit, ESLint, Hadolint, Checkov, OSV-Scanner, and TruffleHog together, then generating production-ready patches with AI. One platform replaces 9 separate subscriptions.

How would you describe the primary audience of your product?

Debuggix.space's answer

Individual developers and small teams who want enterprise-grade security scanning without the enterprise price tag or complexity — people who need to ship secure code but don't have dedicated security teams.

What's the story behind your product?

Debuggix.space's answer

I built Debuggix because I was tired of running 9 different security tools manually and spending hours fixing each finding. I scanned my own code first and found 30 vulnerabilities — including my own GitHub token sitting in plain text. That moment convinced me this tool needed to exist. It's built by a solo developer with no VC funding — just a genuine desire to help other developers secure their code faster.

Which are the primary technologies used for building your product?

Debuggix.space's answer

FastAPI, React, TypeScript, Tailwind CSS, PostgreSQL, Redis, Celery, Docker, Render, DigitalOcean, with AI powered by Google Gemini, DeepSeek, OpenAI, and OpenRouter with automatic fallback.

Who are some of the biggest customers of your product?

Debuggix.space's answer

-Early-stage developers scanning their side projects and open source repos

-Small teams using the Pro tier for private repository scanning

-Individual developers who found Debuggix through Reddit, Hacker News, and developer communities

User comments

Share your experience with using Debuggix.space and DeepScan. 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.

Debuggix.space no reviews yet
DeepScan no reviews yet

We have no reviews of Debuggix.space yet. Be the first one to post

Social recommendations and mentions

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

Debuggix.space 1 mention
DeepScan 2 mentions
  • Show HN: Debuggix – context-aware security engine to stop false positive fatigue
    3. If an anomaly is explicitly documented and structurally isolated as an intentional design choice, Debuggix filters out the noise so you can focus on genuine threats. Right now, we use this engine to maintain a "Verified Clean" tracker... - Source: Hacker News / 4 months ago

Alternatives to Debuggix.space and DeepScan

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