← AI Recommendation IndexOpen Data · Rolling 4-week window

Open edX vs Totara Learn

A fact-by-fact comparison of Open edX and Totara Learn — sourced and dated — plus the part no generic comparison shows: which one AI assistants actually recommend more, engine by engine.

Measured by Orbatormethodology owner Henrik Tellewindow ends Sep 6, 2026

What AI recommends — by engine

Recommendation share = the % of sampled AI answers, over a 4-week rolling window, that recommend each product. Higher is better.

CLAUDE

Open edX

0.2%

Totara Learn

0%

GEMINI

Open edX

0.6%

Totara Learn

0.1%

GROK

Open edX

0.6%

Totara Learn

0.2%

CHATGPT

Open edX

0.3%

Totara Learn

0.1%

PERPLEXITY

Open edX

0.3%

Totara Learn

0%

The facts — sourced & dated

openedx.org

Features

  • interactive discussionsSource · Verified Sep 5, 2026
  • assessmentsSource · Verified Sep 5, 2026
  • analytics and reportingSource · Verified Sep 5, 2026
  • self-service registrationSource · Verified Sep 5, 2026
  • self-paced learningSource · Verified Sep 5, 2026

Integrations

  • XBlockSource · Verified Sep 5, 2026
totara.com

Features

  • Enhanced reportingSource · Verified Sep 5, 2026
  • Limitless customisationSource · Verified Sep 5, 2026
  • Recurring assessmentsSource · Verified Sep 5, 2026
  • Streamlined onboardingSource · Verified Sep 5, 2026
  • Compliance trainingSource · Verified Sep 5, 2026
  • AI streamlined content creationSource · Verified Sep 5, 2026

Open edX vs Totara Learn — FAQ

Does AI recommend Open edX or Totara Learn more?

Open edX is recommended more often: it appears in 0.4% of sampled AI answers versus 0.1% for Totara Learn, measured across the live AI engines over a rolling 4-week window.

Which AI engines were used to compare Open edX and Totara Learn?

Recommendation share is measured on CLAUDE, GEMINI, GROK, CHATGPT, PERPLEXITY using neutral, buyer-shaped prompts (no product names), aggregated over a 4-week rolling window. See the methodology for prompt design and sample sizes.

Own one of these products? Claim your profile to keep its facts accurate.

Recommendation share and entity resolution follow the Index methodology. Facts are sourced from each vendor's own pages and re-verified periodically. Customer status does not affect measurement. Free to use with attribution to orbator.io.

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