Software – Wes McKinney

Local-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 others.
Continuous background code review for coding agents. Reviews every commit as agents write, surfacing issues in seconds instead of at pull request time.
A libghostty-based native macOS terminal for your tmux fleet, with Git worktree management and GitHub pull request import.
Archive a lifetime of email and chat. Offline search, analytics, and AI query over your full message history, through a web UI, a terminal UI, an agent-friendly CLI, and an MCP server. Powered by SQLite and DuckDB.
Local-first maintainer console with built-in agent workspaces: triage pull requests, issues, and CI across GitHub, GitLab, Forgejo, and Gitea, then turn any item into a worktree session running your coding agent.
Local-first issue tracking for AI-assisted software work, with an agent-friendly CLI plus terminal and browser UIs for the humans supervising it.
Local-first system of record for documents – PDFs, images, text files – for you and your agents.
Terminal dashboard for managing Git worktrees, with a scriptable CLI for agents working in isolated checkouts with tmux sessions.
macOS menu bar applet to display your Claude Code and Codex token consumption.
Power user terminal interface for personal finances and budgeting, supporting Monarch Money, YNAB, Amazon purchases, and more.
LLM-powered TL;DR, quotations, and spiciness ratings for over 11,000 blog posts and talks from more than 30 influential voices in tech.
A cross-language development platform for in-memory analytics with a standardized columnar memory format. I helped design the core format and work primarily on the C++ and Python implementations.
The foundational data analysis and manipulation library for Python. pandas introduced the DataFrame abstraction to Python and became one of the most widely-used tools in data science.
A columnar storage file format optimized for big data processing. I am a PMC member and principal author of the C++ implementation and Python bindings (PyArrow’s Parquet support).
A Python library providing a DataFrame API that compiles to SQL and executes on many backends (DuckDB, PostgreSQL, BigQuery, Spark, and more).
A next-generation data science IDE built by Posit, combining the power of VS Code with first-class support for Python and R data science workflows.
Econometrics and statistics for Python. I worked on time series models.
Continuous benchmarking system.
Early continuous benchmarking, superseded by conbench and asv.
© Copyright 2026 Wes McKinney. Except where otherwise noted, all rights reserved. The views and opinions on this website are my own and do not represent my current or former employers.