openactuarial
One install for the full OpenActuarial ecosystem.
Overview
openactuarial is a meta-package: it contains no code of its own and exists
to install the seven OpenActuarial packages in one step. The ecosystem covers
general actuarial workflows — experience analysis, projection, rating and
pricing, reserving, loss modeling, tail estimation, and portfolio simulation — as small
packages that share conventions and compose across seams.
Installation
pip install openactuarial
Requires Python 3.10 or newer.
openactuarial pins exact versions of every package: each release
installs the one combination that was tested together as a release train.
If you want looser version ranges, install the individual packages instead —
they declare compatible ranges (>=X.Y,<X.Y+1) rather than exact pins. Each package can also be installed
individually (pip install actuarialpy, and so on).
What gets installed
| Package | Role |
|---|---|
| actuarialpy | Calculation primitives, the canonical Experience data contract, and the ExperienceSet workbook layer (one construction call over source tables) |
| experiencestudies | Experience reporting, actual-vs-expected, claimant and concentration analysis |
| projectionmodels | Claim, premium, and expense projection over a renewal horizon |
| ratingmodels | Manual and experience rating, credibility, indication, GLM relativities |
| reservingmodels | Claims development and stochastic reserving: chain ladder, Bornhuetter-Ferguson, Mack, and the ODP bootstrap of the predictive reserve distribution; builds triangles from a claims-listing Experience |
| lossmodels | Severity and frequency fitting, aggregate loss distributions; fits directly from a claims-listing Experience |
| extremeloss | Extreme-value tails: POT/GPD, GEV, return levels, splicing; fits directly from a claims-listing Experience |
| risksim | Portfolio Monte Carlo, dependence, reinsurance contracts, risk measures |
Version policy
Dependencies are pinned to exact versions: the single combination of
releases tested together as a train. Pre-1.0 minor releases may change APIs, so
open ranges would let pip assemble a set that was never tested against itself —
a meta-package exists to install a known-good combination, so it pins one, and
each openactuarial release bumps these pins to the next tested train.
Separately, the nightly ecosystem smoke workflow reruns every package's test
suite against the current PyPI releases, so cross-package breakage surfaces as
it lands.
Documentation
Full API references and nine end-to-end worked examples: openactuarial.org.
License
MIT — see LICENSE.
Metadata
Release files for openactuarial 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| openactuarial-0.4.0.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| openactuarial-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.2 kB
Release files / openactuarial-0.4.0.tar.gz
| Download URL | openactuarial-0.4.0.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
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| Tags | Python 3 |
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| Uploaded via |
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