GitHub Code Security
Named, too few times to rank.
A product needs 10 labels in a category before a share is stated. GitHub Code Security has 3.
Why models recommend it
“best if you're already GitHub-centric... CodeQL supports a defined set of languages, so it may not cover every stack”GPT-6 Luna · Direct question · alternative
“if you're already GitHub-centric and want dependency alerts and pull-request review”GPT-6 Luna · Direct question · alternative
“Best Free Enterprise-Grade Option”GLM 4.7 FlashX · Budget-constrained question · alternative
What gives them pause
No model argued against it.
Also on the shortlist
The products named in the same answers as GitHub Code Security, over the 14 answers that named it, and how often each was the first choice instead.
| Product | Named together | Picked instead | |
|---|---|---|---|
| 10 | 6 | View → | |
| 8 | 1 | View → | |
| 7 | 0 | View → | |
| 4 | 2 | View → | |
| 3 | 1 | View → | |
| 2 | 0 | View → | |
| 2 | 0 | View → | |
| 1 | 1 | View → | |
| 1 | 1 | View → | |
| 1 | 0 | View → |
A side-by-side page exists where both products are among a category's top eight.
At a glance
Stated on GitHub Code Security's own site, not checked by Gane.
How this is measured
Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.
Gane sells AI visibility software. No company can pay to change a result.
Read the method →Sources returned with these answers
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 14 of the 14 answers that named GitHub Code Security and are not a share of its labels.
Domains cited
Thirty-one of the thirty-nine domain citations in answers naming GitHub Code Security came from a third party's page.
Pages cited
Pages are listed as the models cited them.
By model
| Model | First choice | Alternative | Mention | Warning | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 0 | 0 | 0 | 0 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-6 Luna | 0 | 2 | 0 | 0 | 2 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |