Kater's resource-first command-line interface

SDK for Observability tools

A fixed income library for trading interest rates

AWS IAM policy statement generator with fluent interface

Multi-source solar irradiance data acquisition, modeling, separation, and forecasting toolkit.

Python client and CLI for the Gwenlake APIs and Gwenlake Atlas

Measured reverse engineering of Amiga floppy games: ADF/HUNK/packers, a strict 68000 decoder and static recompiler, headless vAmiga capture, and an MCP server s…

A minimal terminal AI coding agent

Build, display and vectorize semantic graphs from binary code

Facade for voice generation: speech synthesis in any voice, cloning and designing voices

OpenRewrite automated refactoring for Python.

Local-first memory your AI agents share — over MCP on your machine, or over HTTP from AIs on the web. Ships a working SQLite memory store; agents propose, only …

Kubernetes infrastructure as typed Python: model, plan, apply and observe

OpenRewrite recipes for migrating Python codebases to newer Python versions.

Log Detective MCP server

FMP Ultimate API 中文接口文档（附开箱即用 SDK）

Auditable, intent-aware input intervention for LLM agents

A library containing components related to model inferences in Gen AI applications.

Manage blanket order and call of order

BIP39, SLIP-0039 and Electrum mnemonic codes, from entropy to seed, on the standard library alone

Jupyterlab extension to just render the drawio diagram (viewer in Jupyterlab)

This is the Python SDK for all of FINBOURNE's APIs

Athena Intelligence Python Library

ANDI single-document MCP server (feasibility POC) over the AURIX RC1 PARS DITA XML.

HY Memory - Industrial-grade dual-system cognitive memory framework

Oppfolging python package for DWH ETL

Audit your own smart-home devices: who they talk to, plaintext vs TLS, open ports, and an A-F grade with an HTML report.

A universal interface for AI agents with persistent memory, where every conversation has a home

Extends allure-pytest functionality

Test on tiny data before you run on giant data. A dress rehearsal for data agents: estimate the cost, rehearse on 1% -> 10%, predict 100%, and only go full scal…