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I created pandas and co-created Apache Arrow and Ibis.

Founder at Kenn Software · Part-time: GP at Composed Ventures, AI and Python at Posit · Apache Member · Blog · Previously: Two Sigma, Cloudera, DataPad

What I'm working on

ProjectStarsDescription
roborev stars Continuous code review for AI coding agents. Runs in the background, reviews every commit as agents write, and surfaces issues in seconds — before they compound.
middleman stars Local-first GitHub dashboard for maintainers to triage, review, and merge PRs and issues across repos.
agentsview stars Local coding agent session viewer for Claude, Codex, and Gemini with analytics dashboard and full text search. agentsview usage is also a 100x faster replacement for ccusage.
msgvault stars Archive a lifetime of email and chat locally. Full Gmail backup with search, DuckDB-powered analytics, an interactive TUI, and an MCP server for AI queries -- all entirely offline.
moneyflow stars Personal finance data interface for power users, supporting backends like Monarch Money and YNAB.
Spicy Takes stars 20+ prolific tech writers (Paul Graham, Martin Fowler, and others) analyzed by LLMs. Every post gets a TL;DR, quotations, and a spiciness rating.
VibePulse stars Simple macOS menubar app to monitor your Claude Code and Codex token consumption.
kata stars Local-first issue tracking for AI-assisted software work, with an agent-friendly CLI and human-facing TUI.

Major past projects (created or less active now)

ProjectRoleStarsDescription
Positron Contributor stars A next-generation data science IDE built on VS Code, supporting Python and R.
pandas Creator stars The most widely used data analysis library in Python.
Apache Arrow Co-creator stars Language-independent columnar memory format for analytics.
Ibis Creator stars Portable Python dataframe API for any backend.

Python for Data Analysis 3rd Edition

My book Python for Data Analysis is the most widely used introduction to the Python data stack -- pandas, NumPy, IPython, Jupyter. Now in its 3rd edition.


Sponsor   I support open-source data science through NumFOCUS and donate at least $1000/year.

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