Skip to main content

prospicio

Actuarial and risk modeling on a Rust core, for Python and R.

  • Reserving: triangles, Chain Ladder, Mack, Bornhuetter–Ferguson, Benktander, Cape Cod, Clark, tails, the ODP bootstrap and the Merz–Wüthrich one-year view, checked against R ChainLadder and chainladder-python.
  • Distributions: parametric, discretized and sampled distributions, PredictiveDistribution, risk measures, distortions, copulas and extreme values.
  • Aggregate loss and reinsurance: Panjer, FFT and Monte Carlo compound distributions, layers and towers, reinstatements.
  • Pricing: layer rating, exposure curves, tower matching and risk-loaded pricing.
  • Models: GLM, GAM, elastic net and Tweedie (statsmodels parity), Bayesian GLMs with NUTS, and adapters over LightGBM and XGBoost.
pip install prospicio

The package is pre-alpha: the API will change before v1.0.

Documentation: https://ekthesage.github.io/prospicio/. Source, and the same library for R and Rust: https://github.com/EKtheSage/prospicio.

Licensed under either of MIT or Apache-2.0, at your option.

Metadata

Release files for prospicio 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for prospicio 0.0.3
File Size Uploaded Provenance
prospicio-0.0.3.tar.gz 1.2 MB With provenance Details

Built distributions (wheels)

Table of built distributions (wheels) for prospicio 0.0.3
File
prospicio-0.0.3-cp39-abi3-win_amd64.whl CPython 3.9 abi3 Windows x86-64 Details
prospicio-0.0.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl CPython 3.9 abi3 Linux glibc 2.17+ x86-64 Details
prospicio-0.0.3-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl CPython 3.9 abi3 Linux glibc 2.17+ ARM64 Details
prospicio-0.0.3-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl CPython 3.9 abi3 macOS 10.12+ x86-64, macOS 11.0+ ARM64, macOS 10.12+ universal2 (ARM64, x86-64) Details

Total release size: 25.1 MB

Release files / prospicio-0.0.3.tar.gz

Download URL prospicio-0.0.3.tar.gz
Size 1.2 MB
Tags Source
SHA-256 checksum
How to use checksums
70be75f8d78201eae08c1245b4c1c226108e28dab5114a9036926aeff9b5903b
BLAKE2b-256 checksum
How to use checksums
b4b051d1ec340d0ae5e9f8bdef8d08e24bfdbf21fa99605d575a9799b18dd08f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / prospicio-0.0.3-cp39-abi3-win_amd64.whl

Download URL prospicio-0.0.3-cp39-abi3-win_amd64.whl
Size 4.3 MB
Tags CPython 3.9 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
8ebb513c1733587de9ae1029c357862ea2cb051b4b47cf69b3bdff580894ce66
BLAKE2b-256 checksum
How to use checksums
6215e975cb958fc036755f00d3326109725463f99541dcaf206d96d840db8767
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / prospicio-0.0.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Download URL prospicio-0.0.3-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Size 5.4 MB
Tags CPython 3.9 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
672299f432f79fa67ed51cbc8fcfe8b98a32ad6a247ef8660fc6a8b288eb19d8
BLAKE2b-256 checksum
How to use checksums
259b2a72d14fc69928369a773f0d5b76bb94bd4df8ad170ac02d3ebeb149c6fc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / prospicio-0.0.3-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl

Download URL prospicio-0.0.3-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Size 4.9 MB
Tags CPython 3.9 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
1dac2699108f7c8a33674704fa52ba1ffa8288f9dd9b43238e7adc8325b1a073
BLAKE2b-256 checksum
How to use checksums
72b18254d37af72bd55e8a251518e7216ff59c7481096995e593e1af9736023a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Release files / prospicio-0.0.3-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl

Download URL prospicio-0.0.3-cp39-abi3-macosx_10_12_x86_64.macosx_11_0_arm64.macosx_10_12_universal2.whl
Size 9.3 MB
Tags CPython 3.9 abi3 macOS 10.12+ universal2 (ARM64, x86-64) macOS 10.12+ x86-64 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
c5254c88ccb2f0073de8d6463308bbc9a95fad200262ba07b28d86d5886d35eb
BLAKE2b-256 checksum
How to use checksums
d3d60518298404b12d2b34a8b535f9eb5ae9f6e60128a91fab512df808703214
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

Security for prospicio 0.0.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 5 files in this release have been uploaded with provenance metadata.

Select from 5 files

Attestation for prospicio-0.0.3.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page