Weekly GitHub Picks: WeChat Bill Viewer, Kimi Code Assistant, Pianke, PoC-Lab

wechatpay: Visualize Your WeChat Bills

wechatpay is an Electron‑based desktop application that reads the official WeChat CSV export and automatically generates a set of statistical charts, including expense ranking, monthly trends, and category proportions, helping users see where their money goes.

Core Features

Bill Import & Parsing : Supports the official WeChat CSV format; no extra processing is required.

Visual Statistics : Provides expense category distribution, monthly trend line charts, income‑vs‑expense comparison, and transaction‑partner ranking.

Category Management : Allows custom transaction tags so that "Other" items can be reassigned to the correct category.

Local Data Storage : All data stays on the local machine; nothing is uploaded to a server, ensuring privacy.

Who Should Use It

Anyone interested in tracking their monthly WeChat spending, analyzing cash flow, or simply backing up their transaction records. Excel‑oriented users will find it saves a lot of manual work.

kimi-code: AI‑Powered Code Assistant

kimi-code, released by Moonshot AI, is an open‑source AI coding assistant positioned as the "next‑generation AI Agent". Unlike typical AI code generators, it emphasizes an agent workflow that can understand full‑project context and execute multi‑step programming tasks.

Core Features

Multimodal Code Generation : Supports code generation, explanation, and review, not limited to simple completion.

Project‑Level Context Understanding : Reads the entire codebase, including file dependencies, rather than only the active file.

Agent Workflow : Can carry out multi‑step tasks such as "create a new route, generate the component, then write tests" in sequence.

Multi‑Language Support : Works with TypeScript/JavaScript, Python, Go, Rust, Java and other mainstream languages.

Difference from Competing Products

Compared with GitHub Copilot and Cursor, kimi-code leverages Moonshot AI's proprietary Kimi large‑model, which offers native advantages in Chinese language understanding and context continuity. Users of the Kimi model can enjoy a consistent experience across editor and chat interfaces.

Installation

npm install -g @moonshot-ai/kimi-code

After installation, run kimi-code in a terminal to start coding with the AI assistant.

pianke: Lightweight Content Creation Tool

pianke is a Python‑based, lightweight application for daily writing, note‑taking, and managing fragmented ideas. It stores all data locally and works out‑of‑the‑box without cloud dependencies.

Core Features

Content Management : Supports creating, editing, and categorizing Markdown files with a simple UI.

Local‑First Design : All content is saved in the local file system; no cloud service is required.

Fast Retrieval : Tags and keyword search enable quick locating of notes, ideal for managing fragmented information.

Who Should Use It

Users who find heavyweight tools like Notion or heavily‑plugged Obsidian excessive will appreciate pianke's straightforward, ready‑to‑use approach.

poc‑lab: High‑Risk Vulnerability PoC Collection

poc‑lab aggregates recent high‑severity CVE proof‑of‑concept and exploitation scripts across Linux kernel, Windows, and macOS platforms, serving security researchers and penetration testers.

Core Features

Broad Vulnerability Coverage : Includes privilege escalation, remote code execution, local information leakage and other high‑risk exploits.

Multi‑Platform Support : Provides PoCs for Linux, Windows, and macOS.

Language Diversity : Scripts are written in C, Python and other languages for easy understanding and modification.

Continuous Updates : The repository tracks the latest CVE announcements and adds new PoCs regularly.

Who Should Use It

Security researchers, penetration‑testing engineers, CTF participants, and developers who want to study vulnerability mechanics. Note: The scripts are intended solely for research and vulnerability reproduction; illegal use is prohibited.

wechatpay : https://github.com/run-liyi/wechatpay | ⭐ 579 | JavaScript · Electron kimi-code : https://github.com/MoonshotAI/kimi-code | ⭐ 596 | TypeScript · MIT pianke : https://github.com/zhaoyue4810/pianke | ⭐ 407 | Python poc‑lab : https://github.com/Unclecheng-li/poc-lab | ⭐ 370 | C/Python · MIT