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GitHub Metrics VS DDactic.net

Compare GitHub Metrics VS DDactic.net and see what are their differences

GitHub Metrics

Customize your profile with various plugins and metrics

Rating
0 reviews
Promote on VibeVoted
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.

Rating
0 reviews
Pricing
Freemium Free trial
Promote on VibeVoted
Alternatives Is it good?
PingWise
Down only when probes on three continents agree. Prepaid credits, no seats, no tiers. 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, GitHub Metrics seems to be more popular. It has been mentioned 9 times since March 2021.

social mentions
9 vs 0
Analytics popularity
100% vs 0%
alternatives listed
96 vs 15

Base details

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

GitHub Metrics
DDactic.net
Website github.com ddactic.net
Pricing β€”
Freemium Free trial Official pricing
Platforms β€”
REST API Web
Company β€” Startup from Israel Β· 1 - 9 employees Β· 2026
Listed in
Analytics Developer Tools GitHub Project Management Error Tracking +2
Security & Privacy Cyber Security Network Security Ddos Protection Monitoring Tools Ethical Hacking Web Application Security +4

About GitHub Metrics and DDactic.net

In their own words, as submitted to SaaSHub.

GitHub Metrics
DDactic.net

No description of GitHub Metrics 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.

GitHub Metrics 4 features
DDactic.net 8 features
  • Comprehensive Insights
    GitHub Metrics provides detailed insights into your GitHub activities, including contributions, languages used, and project statistics, enabling a deeper understanding of your coding habits and project progress.
  • Customizable Reports
    The tool offers extensive customization options for reports, allowing users to tailor the data they see according to their specific interests or needs.
  • Visual Representation
    By providing visually appealing charts and graphs, GitHub Metrics makes it easier to interpret complex data and share your GitHub activity highlights on social media or personal websites.
  • Automation
    It automates the generation of metrics, reducing the manual effort required to track and present GitHub activity insights.

Possible disadvantages

  • Complex Setup
    Configuring GitHub Metrics can be complex for users who are not familiar with GitHub Actions or YAML formatting, potentially leading to initial setup delays.
  • Privacy Concerns
    As the tool fetches personal GitHub data, users need to consider privacy implications and decide which metrics they are comfortable sharing publicly.
  • Dependence on GitHub Actions
    Since the tool relies on GitHub Actions, any limitations or issues with GitHub Actions could impact the performance and reliability of GitHub Metrics.
  • Resource Usage
    The generation of metrics might consume GitHub Actions minutes and resources, which could be a concern for users on limited or free GitHub plans.
  • 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.

GitHub Metrics
DDactic.net

No analysis of GitHub Metrics 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
GitHub Metrics
DDactic.net
100% 100%
Analytics
0% 0%
0% 0%
Ddos Protection
100% 100%
100% 100%
Developer Tools
0% 0%
0% 0%
Web Application Security
100% 100%

Questions & Answers

As answered by people managing GitHub Metrics 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.

User comments

Share your experience with using GitHub Metrics and DDactic.net. 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.

GitHub Metrics 9 mentions
DDactic.net 0 mentions
  • Automate Your GitHub README with Custom SVG Metrics and GitHub Actions
    This tutorial shows you how to create a fully automated GitHub profile README using GitHub Metrics with custom SVGs and GitHub Actions. - Source: dev.to / over 1 year ago
  • πŸš€ Create An Attractive GitHub Profile README πŸ“
    Metrics this will generate a detailed stats infographic based on your GitHub Profile. - Source: dev.to / over 2 years ago
  • GitHub profile of the day: Philippe Massicotte
    Another GitHub profile using lowlighter/metrics with a slightly different setup. - Source: dev.to / about 3 years ago

View more

Tracking DDactic.net since Apr 2026.

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