Lean Python Packages

certo-math

Between having a mathematical idea and having a proof of it there is a lot of work that is not proving: find the object, break the false claims, measure what survives, reduce it to what it really is, assemble the rest. certo does that work, and every step returns a certificate anyone can re-check without trusting it. CLI + MCP.

symkit-mcp

It is an MCP server that lets AI agents perform step-by-step symbolic derivations: calculate, transform, verify, and store formulas with full provenance, all through conversation.

open-ontologies-lite

Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.

raise-cli

RaiSE Framework — Reliable AI-assisted Software Engineering. Lean methodology + deterministic toolkit for building production software with AI.

gonzalgo

Axiom provenance for Lean 4 and Metamath — which step introduced an axiom, and whether the theorem statement required it Website: https://f-keys.com/gonzalgo/

giftpy

Certified mathematical identities of the K₇ framework: E₈×E₈ gauge theory on a G₂-holonomy manifold, 460+ relations, 0 sorry, Lean 4. Formerly gift-framework/core (GIFT Core). Distinct from Arithmon/Lean, the Sieve methodology layer.

lean-dojo

Tool for data extraction and interacting with Lean programmatically.

deployquant

DQengine: the fastest event-driven backtester we know of for US stocks on bars. Python, LEAN-compatible. The engine behind DeployQuant.

deployquant-schwab

DQengine: the fastest event-driven backtester we know of for US stocks on bars. Python, LEAN-compatible. The engine behind DeployQuant.

deployquant-webull

DQengine: the fastest event-driven backtester we know of for US stocks on bars. Python, LEAN-compatible. The engine behind DeployQuant.

tinylean

Tiny theorem prover with syntax like Lean 4 in <1K LOC

flashalpha-quantconnect

FlashAlpha options-flow & dealer-positioning data as QuantConnect LEAN custom-data bars (C# + Python)

leanpeek

Turn a QuantConnect LEAN backtest result JSON into a one-line summary and a small report — LEAN results, at a glance.

supplycm

supplycm - 397 supply chain management algorithms in pure Python. Zero dependencies. Includes forecasting, inventory, routing, quality, lean, blockchain, and interactive Jupyter notebooks for learning.

oee

Manufacturing effectiveness metrics for Python: OEE, OOE and TEEP, the six big losses, reliability (MTBF/MTTR), yield and loss valuation. Validated, zero core dependencies.

lean-probe

Fast Lean 4 proof feedback for coding agents. CLI, Python library, and MCP server with warm LeanInteract sessions and cached env reuse.

lp2

Bidirectional Lean4↔Python transpiler (Python 3.11+ / Lean 4)

asalix

A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey