Python

Reddit

2026-10-26 07:30:27

Reddit's r/opensource bans AI-related projects, sparking backlash over Linux and Python implications

Reddit's r/opensource, described in the source material as the platform's largest open-source community, has introduced a sweeping rule change that bars projects using AI, generated by AI, or built for AI from being promoted in the subreddit. The policy was posted by moderator u/Wolvereness on the evening of Oct. 24 Eastern Time under the headline "Your tokens aren't valuable. No more AI." It also raises posting thresholds for projects and accounts, blocks recruitment posts for maintainers or contributors, and limits exemption requests to formally registered 501(c)-type nonprofit entities. The move quickly drew criticism because, under the rule's literal wording, major open-source projects that already use AI-assisted coding or review tools could also be excluded. The source cites Linux creator Linus Torvalds' Oct. 10 kernel branch, where he disclosed using Claude Code under his direction for code, tests, review notes, and a draft write-up. It also references a list posted on X by tech blogger chasm naming 38 major projects that could become ineligible for discussion, including Linux, FreeBSD, Chromium, Firefox, Python, Rust, Go, TypeScript, Git, Docker, LLVM, GCC, VS Code, FFmpeg, and OpenSSL. The announcement triggered more than 2,000 protest comments within a day, according to the source.

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Flet

2026-09-20 20:54:54

Open-source Python framework Flet releases version 1.0 for cross-platform app development

Open-source Python framework Flet has released version 1.0, a milestone the team says makes the project ready for production-grade applications. The framework lets developers build and deploy apps for the web, desktop, and mobile using only Python, while the user interface is rendered through Flutter. Desktop support covers Windows, macOS, and Linux, and mobile support includes iOS and Android. The 1.0 release is available on PyPI under the Apache 2.0 license, with the SDK requiring Python 3.10 or later. Flet also ships with a command-line tool, `flet build`, which can generate application packages for eight target platforms. According to the release details, the update includes performance work that improves control diff calculation speed by as much as 6.7x. The team also said Flet supports both declarative and imperative UI programming styles and offers an MCP server tool for integration with AI coding assistants. MarkTechPost said the project reached the 1.0 milestone about four years after it was started.

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OpenAI

2026-09-13 08:18:26

OpenAI says two engineers used Codex and GPT-5.5 to move Habitat from Python to Rust

OpenAI has detailed the engineering architecture behind Habitat, the online storage platform that supports its products, saying the system now handles more than 70 million requests per second, serves more than 1 billion users each week, spans close to 40 geographic regions, and manages over 500PB of data. The company also disclosed that in the second quarter of 2026, just two engineers, working with Codex and GPT-5.5, rewrote Habitat service from Python to Rust. According to OpenAI’s internal figures, the Rust version delivered a 6x gain in CPU efficiency and a 15x gain in memory efficiency, while also reducing average latency and tail latency. OpenAI said Rust now carries about 95% of production traffic, with the Python version scheduled to be retired in the coming weeks. The company described Habitat as a core data access layer used by products such as ChatGPT and Codex settings. A single user action can trigger hundreds of database calls, which makes the slowest request in the chain a key factor in product responsiveness. OpenAI said Habitat began as a simple Python client-side library for Azure Cosmos DB in 2023, but that model hit scaling limits by mid-2025, leading the company to split it out into a centralized service before eventually rewriting it in Rust.

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A-share stock

2026-09-08 01:39:33

Sequoia-X draws 6,800 GitHub stars with an automated after-hours A-share stock screening pipeline

Sequoia-X, an open-source Python project built for after-hours A-share stock screening, has climbed from 3,000 to more than 6,800 GitHub stars in about six months and appeared on GitHub Trending in early September. According to a MarsBit article citing a report first published by TMTPost App, the project turns the retail workflow of reviewing charts after the market close into an unattended pipeline: it pulls daily adjusted price data through baostock, stores it locally in SQLite, runs seven built-in screening strategies across the full market, and pushes the resulting watchlists to Feishu via webhook. The report says the tool was designed to solve three problems common to retail traders in China’s A-share market: too many stocks to review manually, limited or expensive data access, and the lack of time to monitor patterns continuously during trading hours. Sequoia-X handles the process with a three-layer structure covering data, strategy execution, and notifications. Its first historical backfill takes about 12 minutes, while daily incremental updates run in roughly two to three minutes. The article also highlights the project’s engineering approach. Author YangYuDong rebuilt the tool from a V1 version that relied mainly on akshare to a V2 version based on baostock. The current release uses vectorized pandas calculations, independent Feishu bots for different strategies, and a lightweight SQLite setup. The piece closes with a caution: Sequoia-X is a screening tool, not a buy signal generator, and any strategy can go through periods of failure.

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