How uv got so fast
uv installs packages faster than pip by an order of magnitude. The usual explanation is “it’s written in Rust.” That’s true, but it doesn’t explain much. Plenty of tools are written in Rust without being notably fast. The interesting question is what design decisions made the difference. Charlie Marsh’s Jane Street talk and a Xebia engineering deep-dive cover the technical details well. The intere
こんにちは、NTTドコモR&D戦略部の門間です。 この記事では、vLLMのコードを追いつつその中身の動きに迫りたいと思います。 最近、業務やプライベートでLLM関連のいろいろを触っていますが、 OSSのコードリーディングを通じてLLMの推論処理への理解を深めたいというモチベーションです。 🤖 vLLMって? 📚 前提知識 Attention Is All You Need Paged Attention Continuous Batching 📦 vLLMの開発用インストール (Pythonコード開発のみ) Wheelのインストール リポジトリのクローン 起動確認 Pythonコードの改変 デバッガを使ったOSSのコードリーディングのススメ 🧩 vLLMのソフトウェアアーキテクチャ オンライン推論 : FastAPIサーバの立ち上げとEngineClientの生成 1. Engin
TL;DR: uv is an extremely fast Python package manager, written in Rust. We first released uv in February as a drop-in replacement for common pip workflows. Today, we're announcing a series of features that extend uv beyond a pip alternative, and into an end-to-end solution for managing Python projects, command-line tools, single-file scripts, and even Python itself. It's Cargo, for Python: a unifi
Godotメモ
最終更新日：2025年11月07日 記事作成日：2021年03月10日 オープンソースのゲームエンジンGodotの特徴やTipsをメモしています。 更新履歴 （2025年1月3日）Godot 4.4でC#パッケージが.NET 8に更新されたことを追記 （2024年8月28日）「PCKファイルについて」にGodot 4.3のGDScriptのバイナリトークン化・難読化と、PCKの暗号化について追記 （2024年8月26日）Godot 4.3の変更点を反映、「物理シミュレーションについて」、「日本語のコミュニティはある？」を追加、「Godotの名前の由来と読み方について」を拡充、W4 Cloudについて追記 （2024年2月18日）Webエクスポートの対応状況等を更新、C#のサポート状況を反映、「Godot Engineの名前の由来と読み方について」を更新 Godotとは Godotはオープン
uv is the best thing to happen to the Python ecosystem in a decade - Blog - Dr. Emily L. Hunt
uv is the best thing to happen to the Python ecosystem in a decade Programming 23 October 2025 | Reading time: 6 minutes It’s 2025. Does installing Python, managing virtual environments, and synchronizing dependencies between your colleagues really have to be so difficult? Well… no! A brilliant new tool called uv came out recently that revolutionizes how easy installing and using Python can be. uv
uv
uv An extremely fast Python package and project manager, written in Rust. Installing Trio's dependencies with a warm cache. Highlights A single tool to replace pip, pip-tools, pipx, poetry, pyenv, twine, virtualenv, and more. 10-100x faster than pip. Provides comprehensive project management, with a universal lockfile. Runs scripts, with support for inline dependency metadata. Installs and manages
Astral builds tools that millions of developers around the world depend on and trust. That trust includes confidence in our security posture: developers reasonably expect that our tools (and the processes that build, test, and release them) are secure. The rise of supply chain attacks, typified by the recent Trivy and LiteLLM hacks, has developers questioning whether they can trust their tools. To
This post was requested by Seth Larson, who asked if I could do a breakdown of dependency cooldowns across package managers. His framing: all tools should support a globally-configurable exclude-newer-than=<relative duration> like 7d, to bring the response times for autonomous exploitation back into the realm of human intervention. When an attacker compromises a maintainer’s credentials or takes o
gpt-oss-safeguard の使い方｜npaka
「gpt-oss-safeguard」の使い方をまとめました。 ・User guide for gpt-oss-safeguard 1. gpt-oss-safeguard1-1. gpt-oss-safeguard「gpt-oss-safeguard」は、カスタマイズ可能なポリシーに基づいてテキストコンテンツを分類するために特別に学習された、初のオープンウェイトReasonigモデルです。「gpt-oss」のファインチューニング版です。 主に2つの方法で安全モデルとして活用できます。 ・ファインチューニングされた安全モデルは、汎用Reasoningモデル (gpt-ossなど) をベースとして、ユーザーとのインタラクションにおいて安全な応答をするように学習されています。 ・既製の安全モデル (ShieldGemma、LlamaGuard、RoGuardなど) には、「安全でない」とみなさ
Accelerate Python code 100x by import taichi as ti | Taichi Docs
Python has become the most popular language in many rapidly evolving sectors, such as deep learning and data sciences. Yet its easy readability comes at the cost of performance. Of course, we all complain about program performance from time to time, and Python should certainly not take all the blame. Still, it's fair to say that Python's nature as an interpreted language does not help, especially
At RailsWorld earlier this year, I got nerd sniped by someone. They asked “why can’t Bundler be as fast as uv?” Immediately my inner voice said “YA, WHY CAN’T IT BE AS FAST AS UV????” My inner voice likes to shout at me, especially when someone asks a question so obvious I should have thought of it myself. Since then I’ve been thinking about and investigating this problem, going so far as to give
ChatGPT Containers can now run bash, pip/npm install packages, and download files
Sponsored by: Teleport — Secure, Govern, and Operate AI at Engineering Scale. Learn more ChatGPT Containers can now run bash, pip/npm install packages, and download files 26th January 2026 One of my favourite features of ChatGPT is its ability to write and execute code in a container. This feature launched as ChatGPT Code Interpreter nearly three years ago, was half-heartedly rebranded to “Advance
Python is a wonderful programming language. I’ve used it to build webapps, deep learning models, games, and do numerical computation. However there is one aspect of Python that has been an inexcusable pain-in-the ass over many years. That would be the fragmented Python package and environment management ecosystem, succinctly represented by the following XKCD comic: You see, a lot of other programm
GitHub - 9001/copyparty: Portable file server with accelerated resumable uploads, dedup, WebDAV, SFTP, FTP, TFTP, zeroconf, media indexer, thumbnails++ all in one file
turn almost any device into a file server with resumable uploads/downloads using any web browser server only needs Python (2 or 3), all dependencies optional 🔌 protocols: http(s) // webdav // sftp // ftp(s) // tftp // smb/cifs 📱 android app // iPhone shortcuts 👉 Get started! or visit the read-only demo server 👀 running on a nuc in my basement 📷 screenshots: browser // upload // unpost // thum
Starting with 0.3.0, Astral’s uv brought many great features, including support for cross-platform lock files uv.lock. Together with subsequent fixes, it has become Python’s finest workflow tool for my (non-scientific) use cases. Here’s how I build production-ready containers, as fast as possible. I’m keeping this post up-to-date with my own production use of uv – see History. Currently, this post
I started using uv because the benchmarks seemed too good to be true—10–100x faster than pip, resolves and installs in milliseconds. After reading the source code and the official resolver internals documentation, I understand why, and the answers are more interesting than just "it's written in Rust." This post traces every layer: from the repository structure, through what literally happens when
Automate AWS Lambda Runtime Upgrades with AWS Transform custom | Amazon Web Services
AWS DevOps & Developer Productivity Blog Automate AWS Lambda Runtime Upgrades with AWS Transform custom Introduction Organizations carry a growing burden of technical debt — aging codebases, outdated runtimes, and legacy frameworks that slow innovation, increase security risk, and inflate maintenance costs. Addressing this debt requires tackling a wide range of code transformation challenges: vers
LangChain and LangGraph Agent Frameworks Reach v1.0 Milestones
LangChain and LangGraph Agent Frameworks Reach v1.0 Milestones By Sydney Runkle and the LangChain OSS team We're releasing LangChain 1.0 and LangGraph 1.0 — our first major versions of our open source frameworks! After years of feedback, we've updated langchain to focus on the core agent loop, provide flexibility with a new concept of middleware, and upgrade model integrations with the latest cont
(Warning, this is a long article. I got carried away.) After one year of trying uv, the new Python project management tool by Astral, with many clients, I have seen what it's good and bad for. My conclusion is: if your situation allows it, always try uv first. Then fall back on something else if that doesn’t work out. It is the Pareto solution because it's easier than trying to figure out what you
We are excited to announce the release of PyTorch® 2.9 (release notes)! This release features: Updates to the stable libtorch ABI for third-party C++/CUDA extensions Symmetric memory that enables easy programming of multi-GPU kernels The ability to arbitrarily toggle error or resume on graph breaks in torch.compile Expanded wheel variant support to include ROCm, XPU, and CUDA 13 FlexAttention en
I'm Hiroshi Shibata (hsbt), a Ruby committer and the maintainer of RubyGems and Bundler. TL;DR Every major package manager is adding "cooldown" — a waiting period before you can install newly released packages. RubyGems/Bundler doesn't have one yet. I've been discussing whether we should add it. Short answer: yes, as an opt-in option, but cooldown alone isn't enough. What Is a Cooldown? A cooldown
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📖 vLLMのコードを読んでみよう - ENGINEERING BLOG ドコモ開発者ブログ
uv: Unified Python packaging
Open source security at Astral
Package Managers Need to Cool Down
Can Bundler Be as Fast as uv?
Python has too many package managers
Production-ready Python Docker Containers with uv
How uv Works Under the Hood | Noos - Where Thought, Code, and Craft Converge
A year of uv: pros, cons, and should you migrate
PyTorch 2.9 Release Blog – PyTorch
Should RubyGems/Bundler Have a Cooldown Feature?