Index › HR › Products › Open edX Legacy Libraries · November 2026 Edition
Online course libraries · Named, not ranked

Open edX Legacy Libraries

–Too few to rank
1/14Models named it
0First choices
1Warnings
November 2026 Edition · all company sizes counted.
Ranked inOnline course libraries #118 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Open edX Legacy Libraries has 1.

Why models recommend it

No positive label carried a quote.

What gives them pause

“Libraries V1 are being deprecated in favor of Libraries V2, so avoid building new content on legacy systems”Kimi K2 · Negative question · warning

Also on the shortlist

The products named in the same answers as Open edX Legacy Libraries, over the 1 answer that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

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

The sites and pages the answers that named Open edX Legacy Libraries came back with. A fact about retrieval, not a cause of the answer.

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 1 of the 1 answers that named Open edX Legacy Libraries and are not a share of its labels.

Domains cited

ala.org1
developer.gnome.org1
doa.nc.gov1
en.wikipedia.org1
github.com1
govinfo.gov1
lib.umn.edu1
library.maastrichtuniversity.nl1
library.sfsu.edu1
library.unt.edu1

No domain is on file for Open edX Legacy Libraries, so its own site is not marked.

Pages cited

Pages are listed as the models cited them.

By model

How each model answered on Open edX Legacy Libraries across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200011
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000