
GitHub Visualizer
CodeFlower
GoStudioM
Codeology
GitHub Skyline
Gogs
Github Feel Good
Gource is a software version control visualization tool.

CloudFlare DDoS Protection
Sucuri DDoS Protection
MazeBolt
Imunify360
AWS Shield
Red Button
StackPath
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.
Which is more popular?
Based on our record, Gource seems to be more popular. It has been mentioned 3 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | gource.io | ddactic.net |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from Israel · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Gource 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...
What each product offers, as listed by its team.


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


No analysis of Gource yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Godot Engine Git History – Gource Visualization
More videos
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Gource and DDactic.net.
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.
DDactic.net's answer:
Three reasons:
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.
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.
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.
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.
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.
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.
Share your experience with using Gource and DDactic.net. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I recommend Gource visualizations (https://gource.io/) to get a quick and intuitive understanding of how AI contributions affect a git repository. https://www.youtube.com/watch?v=i8cHjj7GNgs. - Source: Hacker News / 22 days ago
.. With the details for the author of each commit. Then, it would be simply amazing to run gource, sit back, and watch where all the noise is coming from. Gource: https://github.com/acaudwell/gource What gource looks like:... - Source: Hacker News / 7 months ago
Beautiful. Have you considered adding a "replay certain timeline" feature so that users get the feel of the throughput and emergence much like Gource [1] did for git? [1] https://gource.io/. - Source: Hacker News / 9 months ago
Tracking DDactic.net since Apr 2026.
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