Selected external repositories
Repositories are presented separately from news and summarized from their README documentation.
Repo of the day
Sequoia-X: quantitative stock selection for China
Sequoia-X V2 is a quantitative stock-selection system for China’s A-share market. It is rebuilt in Python with object-oriented architecture, vectorized calculations, and incremental data updates; it uses baostock for historical and daily data and SQLite for local storage. After market close it can run the selection process and send results to a Feishu group. The project provides two operating modes: a daily mode that updates data and runs strategies with parallel processing, and a backfill mode
Repos of the week
Sequoia-X: quantitative stock selection for China
Sequoia-X V2 is a quantitative stock-selection system for China’s A-share market. It is rebuilt in Python with object-oriented architecture, vectorized calculations, and incremental data updates; it uses baostock for historical and daily data and SQLite for local storage. After market close it can run the selection process and send results to a Feishu group. The project provides two operating modes: a daily mode that updates data and runs strategies with parallel processing, and a backfill mode
VoiceStudio: Local Voice Cloning, Dubbing, and TTS Suite
VoiceStudio is an open-source application (AGPL-3.0 license) that enables voice cloning, video dubbing, dictation, and long-form audio generation entirely offline, without requiring an account, API key, or subscription. It integrates 16 text-to-speech (TTS) engines, 11 automatic speech recognition (ASR) engines, and supports 646 languages, all runnable on macOS, Windows, Linux, and via Docker containers. Designed for users who prioritize privacy and full control over their data, it serves as a l
Ponytail: less code for coding agents
Ponytail is a tool and skill for coding agents focused on reducing generated code in real development tasks. Its approach gives agents more precise operational context so they can produce smaller, faster, and cheaper changes; the README publishes comparative measurements against sessions without the skill. It is relevant for teams using agents on existing repositories and wanting to measure cost, speed, and change size. Its results should be validated in the target workflow before treating the
TimesFM - Time Series Foundation Model
TimesFM is a pretrained time-series foundation model by Google Research designed for forecasting both multivariate and univariate series with native covariate support (past-only and past-and-future). It has achieved rank #1 overall on multiple benchmarks including fev-bench, TIME Benchmark, and GIFT-Eval. The latest version (3.0) improves upon previous releases with 200M parameters, extended 16k context length, optional quantile heads for long-range forecasts, and broader ecosystem integrations
{fmt}: A fast and safe C++ text formatting library
{fmt} is an open-source formatting library that provides a fast and safe alternative to traditional C formatting functions like printf and C++ iostreams. It implements the C++20 std::format and C++23 std::print standards, using a syntax similar to Python's format strings for ease of use. Its simple API allows formatting strings with positional arguments, which is particularly useful for application localization. The library stands out for its high performance, outperforming common standard libra