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First launch

The welcome screen — open a folder or scaffold a sample workspace

The runtime check

On the very first launch, Scelo opens the runtime check — a report on the bundled stack it just installed:

  • Python — the portable interpreter version and that it can import the IA package set (numpy, pandas, lifelib, chainladder, climada, …).
  • R — the portable R version and that the actuarial libraries (ChainLadder, chainladder, lifecontingencies, forecast, …) load.
  • Status per component — green when ready; a clear message if something didn't stage.

You can re-open this any time at the /runtime-check route. If a component shows an error, see Troubleshooting.

The welcome screen

After the runtime check, every launch lands on the welcome screen, where you choose where to work:

  • Open Folder… — point Scelo at any directory; it becomes the workspace root.
  • Switch Workspace… — jump between workspaces Scelo knows about.
  • Configure AI Provider — Ollama is the local default (no key, no spend); switch to a hosted provider here. See AI providers.
  • Download a dataset — grab a starter dataset (IBTrACS cyclones, WHO life tables, NFIP claims, ChEMBL, …).
  • Sample workspaces — one-click scaffolds you can copy to disk to learn the flow:
    • Life pricing starter — mortality table + deterministic premium walk in Python and R.
    • Climate risk starter — IBTrACS + Climada loss curve.
    • Scelo brain starter — a minimal soft → tools → hard pipeline.
    • Reserving starter (Mack chain-ladder) — RAA triangle through R ChainLadder + chainladder.py, cross-checked.

Where to next