Flows-first PCAP TUI (case files, gorgeous UX). Do do do do.

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Aqua is a lightweight, agent-agnostic coordinator for CLI AI agents. It enables multiple AI agents (Claude Code, Codex CLI, Gemini CLI, or any CLI tool) running in separate terminal sessions to collaborate on tasks within a shared codebase. Built with Claude ❤️

Automatic context monitoring for Claude Code — never get interrupted by mid-task compaction again.

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Energize your agent sessions with commentary. Pronounced 'talkative'.

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

Sift is a local-first GitHub inbox organizer for people who live in pull requests and issues.

A local-first reader for your X bookmarks. Self-hosted on your own machine, against your own Postgres.

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AI-powered on-call agent that responds to production alerts with analysis and fixes. Supports PagerDuty, Datadog, CloudWatch, Sentry, and more.

Our app for Freshdesk hackathon.

A curated list of awesome lists

Repository for the advances in databases class project

Show usage stats for OpenAI Codex and Claude Code, without having to login.

The open source coding agent.

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GitHub profile README

Lightweight coding agent that runs in your terminal

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Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

A responsive Jekyll theme with large full page images and clean typography.

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A complete daily plan for studying to become a Google software engineer.

A JavaScript visualization library for HTML and SVG.

A simple music player in python, includes what I think is a decent shuffle function

Generate polished résumés and CVs in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, YAML, smoke signal, and carrier pigeon.

It's a presentation framework based on the power of CSS3 transforms and transitions in modern browsers and inspired by the idea behind prezi.com.

Java In Action

A book for the coursera statistical inference class

Shared data for DataVis course

A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

My accepted submissions to ACM ICPC training and related sites

For smm project

Script for downloading Coursera.org videos and naming them.

A simple python script using beautifulsoup to scrape the Barclays Premier League website for fixtures and store it offline.

Repo for the course project of the Data Scientist toolbox course of Coursera.

The Leek group guide to data sharing

Practice problem sets from the Harvard Stat 110 course.

A boolean search engine for the first Harry Potter book.

My experiments with d3js and other visualization techniques

My quora data. Files, code and everything that I create from scratch/make improvements to.

Haskell practice?

Extract all articles filed under each and every tag in www.geeksforgeeks.org

Trying out a kaggle problem. Takeaway is that I learnt to implement my own version of the TF-IDF technique and usage of nlt-kit. (more to be updated as I make changes)