← AI Recommendation IndexOpen Data · Rolling 4-week window

Appsmith vs Django

A fact-by-fact comparison of Appsmith and Django — 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

Appsmith

0.6%

Django

0.3%

GEMINI

Appsmith

1.2%

Django

0.3%

GROK

Appsmith

1%

Django

0.8%

CHATGPT

Appsmith

1%

Django

0.3%

PERPLEXITY

Appsmith

1%

Django

0.2%

The facts — sourced & dated

appsmith.com

Features

  • Role-based access controlsSource · Verified Sep 5, 2026
  • Version control with GitSource · Verified Sep 5, 2026
  • WorkflowsSource · Verified Sep 5, 2026
  • Custom codeSource · Verified Sep 5, 2026
  • SAML and OIDC SSOSource · Verified Sep 5, 2026
  • Audit loggingSource · Verified Sep 5, 2026
  • CI/CD integrationSource · Verified Sep 5, 2026

Integrations

  • GitSource · Verified Sep 5, 2026
  • REST/GraphQL APISource · Verified Sep 5, 2026

Platforms

  • Self-hostingSource · Verified Sep 5, 2026

Pricing

  • Enterprise: $2,500 a monthSource · Verified Sep 5, 2026
  • Business: $15 a monthSource · Verified Sep 5, 2026
  • FreeSource · Verified Sep 5, 2026
djangoproject.com

Features

  • Object-relational mapperSource · Verified Sep 5, 2026
  • Quick internationalizationSource · Verified Sep 5, 2026
  • Robust template systemSource · Verified Sep 5, 2026
  • Automatic admin interfaceSource · Verified Sep 5, 2026

Platforms

  • WebSource · Verified Sep 5, 2026

Appsmith vs Django — FAQ

Does AI recommend Appsmith or Django more?

Appsmith is recommended more often: it appears in 0.9% of sampled AI answers versus 0.3% for Django, measured across the live AI engines over a rolling 4-week window.

Which AI engines were used to compare Appsmith and Django?

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.

[ORBATOR]

© 2026 Orbator. All rights reserved.