Ross ROSS = Recommend OSS · open-source software intelligence for agents

OranAi-Ltd/oransim

Causal Digital Twin for Marketing at Scale · Predict any marketing decision before you spend a dollar. observed · 2026-08-28

github.com/OranAi-Ltd/oransim · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

56/100

  • Activity 93
  • Release rhythm 35
  • Longevity 9

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 137
  • days_rel: n/a
  • days_push: 47
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1073 stars · 133 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Oransim is an open-source causal digital twin engine for marketing, simulating a large virtual consumer society with LLM-backed personas to predict campaign ROI and run counterfactual what-if analyses before spending budget. The public repo runs the same causal engine on a demo corpus, with licensed access to larger proprietary creator and consumer datasets offered commercially.

Use cases

  • predict marketing campaign roi before spending
  • simulate consumer response to ad creatives
  • run counterfactual what-if analysis on marketing decisions
  • model an agent-based virtual consumer society
  • audit causal logic behind marketing predictions
  • test campaign strategies against simulated personas
  • estimate creator marketing impact on social platforms

When to choose

  • you want to forecast campaign outcomes and ROI before committing budget
  • you need transparent, auditable causal simulation logic rather than a black-box model
  • you work with Chinese social platforms like Xiaohongshu and want creator/note-level analysis
  • you want an open-source engine you can extend with your own data

When to avoid

  • you need production-grade licensed data on millions of creators, which requires commercial access
  • you expect a polished end-user GUI product rather than a Python engine
  • your marketing channels are unrelated to the platforms covered by the demo corpus
  • you need guaranteed prediction accuracy for small-sample or novel markets

Facets

library · maturity active

simulation machine-learning agent-framework data-science analytics artificial-intelligence machine-learning analytics simulation data-science python cross-platform cli digital-twin causal-inference marketing-analytics agent-based-simulation counterfactual-reasoning llm-personas roi-prediction campaign-simulation social-media-analytics xiaohongshu marketing

2 sources

Member repositories

RepositoryRoleHealth v2
OranAi-Ltd/oransimmain56

For agents

markdown · JSON · MCP: product_card(name="OranAi-Ltd/oransim")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem