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Codeology VS DDactic.net

Compare Codeology VS DDactic.net and see what are their differences

Codeology

Open-source algorithm that visualizes GitHub projects

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0 reviews
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Alternatives Is it good?
DDactic.net

Automated DDoS resilience testing platform. Discover exposed assets, simulate multi-vector L3-L7 attacks, and validate your DDoS defenses. Company name in, hardened infrastructure out.

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0 reviews
Pricing
Freemium Free trial
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Alternatives Is it good?
KindProxy
KindProxy offers rotating residential and static ISP proxies across 198+ countries and regions. Featuring HTTP(S) and SOCKS5 support, sticky sessions, and city and ASN targeting, it's ideal for web scraping, SEO monitoring, market research, ad verifi 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?

Developer Tools popularity
100% vs 0%
alternatives listed
16 vs 15

Base details

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

Codeology
DDactic.net
Website github.com ddactic.net
Pricing —
Freemium Free trial Official pricing
Platforms —
REST API Web
Company — Startup from Israel · 1 - 9 employees · 2026
Listed in
Productivity AI Marketing Developer Tools +1
Security & Privacy Cyber Security Network Security Ddos Protection Monitoring Tools Ethical Hacking Web Application Security +4

About Codeology and DDactic.net

In their own words, as submitted to SaaSHub.

Codeology
DDactic.net

No description of Codeology yet.

DDactic is an automated DDoS resilience testing platform for security teams that already own a CDN/WAF (Cloudflare, Akamai, Imperva, AWS Shield, Radware) but have never validated whether their protection actually covers their full attack surface. The platform discovers exposed assets, simulates...

Read more about DDactic.net

Features and specs

What each product offers, as listed by its team.

Codeology 4 features
DDactic.net 8 features
  • Visualization of Code
    Codeology provides an artistic visualization of code repositories, representing them as unique geometric shapes, which can help in understanding the structure and complexity of codebases.
  • Open Source
    As an open-source project, Codeology allows developers to contribute, modify, and enhance the tool, fostering community collaboration and innovation.
  • Engagement
    The visual representation can engage both technical and non-technical audiences by presenting code in an aesthetically pleasing and intriguing way.
  • Insightful Metrics
    Codeology provides insights into key metrics of a codebase, such as the number of files and lines of code, through its visualizations.

Possible disadvantages

  • Limited Practical Application
    While visually engaging, the tool may have limited practical use in day-to-day software development and code analysis.
  • Dependency on GitHub Data
    Codeology relies heavily on GitHub's data infrastructure, which might limit its utility for projects not hosted on GitHub or for private repositories.
  • Complexity Overhead
    Understanding and setting up the visualizations can add complexity for users who may just be looking for quick insights into their code.
  • Resource Intensive
    Generating detailed visualizations could be resource-intensive, potentially affecting performance when analyzing large code repositories.
  • Web (SaaS)
    Browser-based platform, no install. Domain in, attack surface report out.
  • API
    REST API for scan submission and report retrieval. Used for CI/CD integration.
  • Free Trial
    Free passive scan tier, always-on, no signup required.
  • Open Source
    OPI Score specification + reference implementation (Apache 2.0). Platform is proprietary.
  • Vendor Integration
    Cloudflare, AWS Shield, Imperva, Akamai, Radware (read-only config validation + hardening playbook generation).
  • Bot Fleet Coverage
    23+ cloud providers across 4 continents for distributed L3-L7 attack simulation.
  • Attack Vectors
    ~200 across L3 (volumetric), L4 (TCP/UDP/QUIC), L7 (HTTP/HTTP2/HTTP3), Low-and-Slow, Protocol-Specific, ATO replay.
  • Self-hosted
    No. SaaS-only.

Analysis

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

Codeology
DDactic.net

No analysis of Codeology yet.

Overall verdict

  • I don't have verified information about DDactic.net (ddactic.net) in my training data, so I can't confirm its legitimacy, quality, or safety. Before using this site, I'd recommend independently verifying its reputation, checking for HTTPS/security certificates, reading third-party reviews, checking domain registration age via WHOIS, and looking for verifiable contact information and business registration details.

Why this product is good

  • No verified data available about this specific domain's content, services, or reputation
  • Domain name conventions alone don't indicate legitimacy or quality
  • Recommend checking independent review sites, WHOIS records, and security scanners like VirusTotal before engaging
  • Look for SSL certificate, privacy policy, terms of service, and verifiable business/contact information as basic trust signals

Recommended for

  • Users should conduct their own due diligence before determining if this site is suitable for them
  • Not recommended to proceed without independent verification given lack of confirmed information
  • Suitable only after confirming legitimacy through trusted third-party sources

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
Codeology
DDactic.net
100% 100%
Developer Tools
0% 0%
0% 0%
Ddos Protection
100% 100%
100% 100%
GitHub
0% 0%
0% 0%
Web Application Security
100% 100%

Questions & Answers

As answered by people managing Codeology and DDactic.net.

What makes your product unique?

DDactic.net's answer:

DDactic is the only platform that combines automated attack-surface discovery with multi-vector L3-L7 attack simulation from a fleet across 23+ cloud providers, and validates the customer's protection vendor configuration with stage-reprobe after each hardening change.

The Open Protection Index (OPI), Apache 2.0, gives customers a vendor-neutral 0-100 score they can benchmark over time. Most DDoS testing services run a single-vendor appointment-based simulation; DDactic runs continuous, multi-vendor, attacker-perspective testing.

Why should a person choose your product over its competitors?

DDactic.net's answer:

Three reasons:

  1. Real bot-detection bypass research, with 25 vendor fingerprints catalogued (PerimeterX, DataDome, Akamai BotManager, Cloudflare Challenge, etc.), so attacks are not blocked by trivial defenses and customers see what their CDN/WAF actually allows through.

  2. Protection-group-aware testing that maps which subdomains share fate with which origin, exposing the shared-fate risk that most teams miss because they only think about their flagship asset.

  3. Vendor-specific hardening playbooks (Cloudflare, AWS Shield, Imperva, Akamai, Radware) validated by stage-reprobe after the customer applies them, not generic recommendations from a paper questionnaire.

How would you describe the primary audience of your product?

DDactic.net's answer:

Security teams at companies that already pay for CDN/WAF protection (Cloudflare, Akamai, Imperva, AWS Shield, Radware) but have never validated whether the protection actually covers their full attack surface.

Typical buyer: CISO or VP of Security at mid- to large-sized enterprises in finance, gaming, e-commerce, healthcare, and government. Secondary audience: blue-team engineers and SRE teams running incident-response drills who need a controlled way to exercise their playbooks.

What's the story behind your product?

DDactic.net's answer:

After 4 years in DDoS engineering, I (Stav David) noticed the same gap in every customer engagement: enterprises pay six- and seven-figure sums for DDoS protection (Cloudflare Magic Transit, Akamai Prolexic, Imperva, AWS Shield Advanced, Radware DefensePro) and almost nobody actually tests whether the protection holds.

The industry-standard alternative is a vendor-led "DDoS test" delivered as an appointment: 4 hours, scheduled weeks ahead, run from a single ASN against the production target. That misses the entire L7 surface, does not probe IP rotation, and gives no per-vector data.

DDactic was built to fix that, with continuous distributed simulation across 23+ cloud providers, per-vector attribution, and stage-reprobe validation after every hardening change. Founded in 2026, based in Tel Aviv.

Which are the primary technologies used for building your product?

DDactic.net's answer:

Python/Flask backend on Dedibox bare-metal, TypeScript frontend on Cloudflare Pages, Go-based bot fleet orchestration across 23+ cloud providers, raw-socket + uTLS attack emitters for fingerprint-faithful testing, AWS Batch for ephemeral scan workers.

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