Open Source Tax Software.

The deterministic tax engine for AI agents. Highest score ever recorded on TaxCalcBench (96% exact returns)

Create and import e-invoices with ERPNext.

AI-powered bookkeeping and tax filing automation for entrepreneurs at the heart of the European economy

An open-source static tax-benefit microsimulation model for the UK.

Libreoffice Extension to generate PDF Factur-X invoices with Libreoffice Calc

Fully open-source US federal tax engine. Single binary cli. Runs on macOS, Linux, and Windows. Built for AI agents using AI agents.

Aotearoa New Zealand legislation as code

Tunisian tax and benefit system for OpenFisca

TAXSIM emulator using the PolicyEngine US federal and state tax calculator

TaxEase.AI is a user-friendly AI assistant designed to demystify and simplify US tax filing, a system that has become needlessly convoluted and stressful for millions of Americans.

MCP server for French tax calculations and information - enables AI assistants to provide accurate French tax guidance

France-Data module of OpenFisca

MCP server for US individual taxpayers — 39 tools for federal/state tax calculations, credits, deductions, retirement strategies, and tax planning. All calculations run locally. TY2024 + TY2025 (OBBB Act).

Beancount plugin for generating informational UK tax report (calculate capital gains tax)

Local-first MCP server for Indian income tax: deterministic tax computation, regime comparison, advance tax planning, document parsing -- all on your machine

MCP server for AI-assisted tax filing through FreeTaxUSA using Playwright browser automation

Simplify Tax is an AI-powered tax filing and optimization tool designed to assist Indian taxpayers in understanding their tax obligations, maximizing deductions, and selecting the most beneficial regime. It reads bank statements, classifies income, calculates tax liabilities, and recommends the optimal tax-saving strategy — all automatically.

Java library helping you to handle ZUGFeRD invoices

A module for explicability from the trace of a catala program

Bulletin officiel des finances publiques - impôts, non-instruct (11-12-2023) This project focuses on fine-tuning pre-trained language models to create efficient and accurate models for legal practice. Fine-tuning is the process of adapting a pre-trained model to perform specific tasks or cater to particular domains. It involves adjusting the model's parameters through a further round of training on task-specific or domain-specific data. While conventional fine-tuning strategies… See the full description on the dataset page: https://huggingface.co/datasets/louisbrulenaudet/bofip.