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Inflation Python Packages

Python packages with the GitHub topic inflation. Sorted by monthly downloads, with stars and forks.
palewire
cpi

Quickly adjust U.S. dollars for inflation using the Consumer Price Index (CPI)

146K 145 24
attack68
rateslib

A fixed income library for pricing bonds and bond futures, and derivatives such as interest rate swaps (IRS), cross-currency swaps (XCS) and FX swaps. Contains tools for full curveset construction with market standard optimisers and automatic differentiation (AD) and risk sensitivity calculations including delta and cross-gamma.

5K 365 69
smups
inflatox

Framework for implementing high-performance numerical consistency conditions for multifield inflation models.

2K 4 4
mbk-dev
okama-macro

Normalized CPI inflation and central-bank rate series for Python.

1K 1 0
xfina-dev
xfingine

Pure computation engines for personal finance planning — inflation-adjusted EMI schedules and more. Rust core, shipped to crates.io, npm and PyPI.

1K 0 0
mzjp2
inflate

A CLI to compute the effect of inflation across years

306 1 0
rbturnbull
ausdex

A Python package for adjusting Australian dollars for inflation

268 3 3
burning-cost
insurance-trend

Loss cost trend analysis for insurance pricing — frequency/severity decomposition, ONS index integration, structural break detection (154 tests)

177 0 0
Jacks0nJ
pyfpt

Stochastic first-passage time (FPT) simulations using importance sampling.

158 11 1
richard-von-eckardstein
cosmo-geff

Handle inflationary gauge-field production using the gradient expansion formalism.

95 2 0
sylam
derivus

An XVA, pricing library built from the ground up with AAD in mind implemented in PyTorch

93 0 0
apiverve
apiverve-inflationrate

Inflation Rate is a tool for retrieving annual inflation rate and CPI data for countries worldwide. It returns the inflation rate, CPI index value, and country details for any year going back to 1960.

91 0 0
MathSci
fecon236

Tools for financial economics. Curated wrapper over Python ecosystem. Source code for fecon235 Jupyter notebooks.

74 138 53
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