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Debuggix.space VS Digraph.dev

Compare Debuggix.space VS Digraph.dev 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?
Digraph.dev

AI marketing platform for brands.

No screenshot yet
Rating
0 reviews
Pricing
Freemium Free trial $99 / Monthly
Alternatives Is it good?
Tacit AI
FMEAs that stay current. Tacit AI builds DFMEAs, PFMEAs and FMECAs from your design specs, process documents, manuals and failure reports, and updates them as they change. 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, Debuggix.space seems to be more popular. It has been mentioned 1 time since March 2021.

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

Base details

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

Debuggix.space
Digraph.dev
Website debuggix.space digraph.dev
Pricing
Freemium $29 / Monthly (Pro option)
Freemium Free trial $99 / Monthly Official pricing
Company 1 - 9 employees · 2026 Startup from the United States · 1 - 9 employees
Listed in
Developer Tools Coding Code Security Web Application Security Vulnerability Scanner AI +3
SaaS Market Research Marketing Platform Marketing +1

About Debuggix.space and Digraph.dev

In their own words, as submitted to SaaSHub.

Debuggix.space
Digraph.dev

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

Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...

Read more about Digraph.dev

Features and specs

What each product offers, as listed by its team.

Debuggix.space 18 features
Digraph.dev 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)
  • Developer-focused positioning
    The .dev domain and branding suggest a tool built for developers and technical teams, so its workflows are likely to fit engineering needs better than a generic product. I could not browse the site, so this is inferred from its positioning rather than confirmed.
  • Graph-based approach
    The name 'Digraph' (directed graph) suggests it models information as connected nodes and relationships. That kind of structure can make dependencies, ideas, or decisions easier to see than flat lists or documents. Confirm how the product actually uses this.
  • Modern, minimal presentation
    Newer developer tools tend to have lean interfaces and a focused feature set, which can mean a short learning curve and less clutter. I could not verify this for Digraph, so check it with a trial.
  • Potential for better organization and clarity
    If the tool works as the name suggests, visualizing relationships between items can improve shared understanding across a team. The benefit depends on how well the product is executed.
  • Early-stage responsiveness
    Smaller or newer products often respond quickly to user feedback and let users influence the roadmap. This is a general tendency and has not been verified for Digraph.

Analysis

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

Debuggix.space
Digraph.dev

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 Digraph.dev yet.

Videos

Walkthroughs and reviews on video.

Debuggix.space 2 videos + Add
Digraph.dev 0 videos + Add

Testing the scanner on OWASP

More videos

  • - Scanned on of the most famous repos on github

No Digraph.dev 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
Digraph.dev
100% 100%
Developer Tools
0% 0%
0% 0%
Marketing
100% 100%
100% 100%
AI
0% 0%
0% 0%
Marketing Platform
100% 100%

Questions & Answers

As answered by people managing Debuggix.space and Digraph.dev.

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 Digraph.dev. For example, how are they different and which one is better?

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Social recommendations and mentions

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

Debuggix.space 1 mention
Digraph.dev 0 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

Tracking Digraph.dev since Oct 2026.

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