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

numerai/example-scripts resource

A collection of scripts and notebooks to help you get started quickly. observed · 2026-08-28

github.com/numerai/example-scripts · homepage · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 98
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

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: 3526
  • days_rel: n/a
  • days_push: 12
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1176 stars · 313 forks observed · 2026-08-28

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

Official starter scripts and tutorial notebooks for the Numerai data science tournament, where participants build machine learning models on obfuscated hedge-fund-grade stock market data. It includes example models (e.g., XGBoost), feature neutralization and target ensembling notebooks, model upload examples, and MCP-based agent tooling for AI-driven experimentation.

Use cases

  • get started with the numerai tournament
  • build a model to predict stock market targets
  • learn feature neutralization for quant models
  • create an ensemble trained on multiple targets
  • upload predictions to numerai
  • use AI agents with numerai via MCP
  • explore the numerai dataset in a notebook

When to choose

  • you are new to Numerai and want official onboarding examples
  • you want working Python/R baselines for the tournament data
  • you want to wire AI coding agents into Numerai workflows via MCP

When to avoid

  • you need a production trading system or backtesting framework
  • you want reusable financial models outside the Numerai tournament (data is obfuscated and tournament-only)
  • you need a general-purpose ML library rather than tournament examples

Facets

learning-resource · maturity active

machine-learning data-science sdk mcp developer-tools machine-learning data-science fintech tutorials python cross-platform cli numerai quant-finance jupyter-notebooks tournament example-scripts stock-market-prediction xgboost numerapi cryptocurrency

3 sources

Member repositories

RepositoryRoleHealth v2
numerai/example-scriptsmain76

For agents

markdown · JSON · MCP: product_card(name="numerai/example-scripts")

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