fastapi

이번 주 개발자라면 봐야 할 오픈소스 Top 10 +@ 총정리 · GitHub 트렌딩 (10월 4주) 이번 주(10/21~10/28) GitHub 트렌딩 주간 순위 Top 10과 순위 밖 3개(이번 주 페이지에 올라온 13개 전부)를 정리했어요. 레포마다 무엇을 하는지, 최근 바뀐 것, 초보자·개발자별로 어떻게 써 보면 좋은지까지 담았어요. 순위는 GitHub Trending(weekly) 페이지 순서 그대로예요(2026-10-28 06:00 KST 수집). 별 수는 수집 시점 값이에요. ▶ 챕터 0:00 오프닝 0:21 10위 android/skills 0:59 9위 Orca 1:36 8위 OpenCode 2:18 7위 ruflo 3:00 6위 graphify 3:38 5위 TradingAgents 4:24 4위 andrej-karpathy-skills 5:01 3위 claude-seo 5:43 2위 knowledge-work-plugins 6:25 번외 ① ai-memory 7:03 번외 ② T3 Code 7:33 번외 ③ FastAPI 8:11 1위 security-audit-skill 9:16 이번 주 확인할 것 ▶ Top 10 10위 android/skills — Google Android 팀 공식 에이전트 스킬. 일주일 새 30개에서 36개(v1.0.16~1.0.18): ANR 점검·수정, 온디바이스 LLM(LiteRT-LM), ML Kit 에이전트 API, Compose Ink, Glance 위젯 메모리 등 9위 stablyai/orca — 여러 코딩 에이전트를 git worktree별로 동시에 돌리는 데스크톱 앱(내 구독 사용). 9/30 이후 채팅 화면(실험)·권한 모드(Manual/Auto/Yolo)·앱 안 브라우저 클릭 표시·휴대폰 앱 개선, 10/21 별 10만. v1.4.221(10/5) Copilot 설정 파일 권한 보안 수정 8위 anomalyco/opencode — 모델 회사에 묶이지 않는 오픈소스 코딩 에이전트(75+ 공급자·로컬 모델). v2.2.0: 데스크톱 앱 개편, 데스크톱 플러그인(실험). ⚠ Console 보안 사고(10/17): Console에 외부 키를 저장했다면 공급자 쪽에서 폐기·재발급(OpenCode 발표 기준 Console 사용자의 1.4%) 7위 ruvnet/ruflo — Claude Code·Codex 위 다중 에이전트 도구(옛 claude-flow). 이번 주 릴리스 28번. ⚠ 3.63.3(10/26) 이전에는 클론한 저장소의 설정 파일로 AI 워커가 켜질 수 있었음 → 3.63.3 이상으로. Anthropic Managed Agents 도구 4개(직접 켜야 함, 예산 상한 필수, 실서비스 미검증) 6위 Graphify-Labs/graphify — /graphify로 코드·문서·SQL·PDF를 지식 그래프로. 코드는 로컬 tree-sitter 분석(모델 없음), 문서·이미지는 쓰는 모델 사용. 0.9.97: 그래프 설명 속 비밀값 가림 강화. ⚠ PyPI 이름은 graphifyy(y 두 개) 5위 TauricResearch/TradingAgents — 증권사 조직을 본뜬 멀티 에이전트 매매 연구 프레임워크(투자 조언 아님). 9/16 이후 백테스트·분석가 병렬·한국 등 벤치마크·역할별 모델 공급자·ChatGPT 구독 실행. v0.7.1: 0 없는 날짜가 이후 공시를 읽던 버그 수정 → 예전 백테스트는 다시 돌려 보기 4위 multica-ai/andrej-karpathy-skills — Karpathy의 글을 바탕으로 다른 개발자가 만든 CLAUDE.md 하나(원칙 4개). 마지막 커밋 4/20, LICENSE 파일 없음 3위 AgriciDaniel/claude-seo — Claude Code용 SEO 점검 플러그인(스킬 26·서브에이전트 19). v2.5.0: 자체 보안 감사 반영, 서버 CVE 노출 점검(응답만 읽음), Python 3.11 이상. 일부 확장은 유료 외부 서비스 2위 anthropics/knowledge-work-plugins — Anthropic 직무별 플러그인(Cowork용, Claude Code에서도). 저장소 안 22개·목록 123개. sales 2.1.0: 문장마다 출처와 원본 링크 ▶ 번외(순위 밖, 이번 주 페이지 11~13위) akitaonrails/ai-memory — 여러 코딩 에이전트가 같이 쓰는 장기 기억 서버. 3.2.0: 띄어쓰기 없는 한글 부분 검색, 끊긴 세션 알림. 프롬프트·도구 기록을 서버에 저장 pingdotgg/t3code — 내 PC의 Codex·Claude Code·Cursor·OpenCode 등을 웹·휴대폰에서 조작(내 구독 사용). 이번 주 v0.1.1~0.1.3, 한 번만 써 보려면 npx t3@latest fastapi/fastapi — ⚠ 0.160.0: 파라미터 모델 extra 설정이 같은 위치 다른 필드에도 적용 / 0.162.0: 폼에서 빠진 bool을 False로 치지 않음 → 체크박스는 기본값 False 선언 후 테스트 ▶ 1위 cloudflare/security-audit-skill — 코딩 에이전트에게 6단계 보안 감사를 시키는 스킬(MIT). 블로그의 후보 20,799 → 조치 7,245는 Cloudflare 사내 시스템 수치(이 스킬 성능 아님). 코드는 9/14 이후 변경 없음, 별은 9/23 약 2만 → 10/28 약 5만, 10/21~24 일간 트렌딩 전체 1위. ⚠ 실행 검증엔 외부 네트워크를 막은 샌드박스 필요, 한 번 실행은 여러 번 돌린 결과의 절반쯤(README), 소스는 쓰는 모델 회사로 전송 ▶ 끄는 방법·설치 - Android CLI 사용 통계: 명령마다 --no-metrics - Orca 익명 사용 데이터: onorca.dev - TradingAgents 업데이트 확인: TRADINGAGENTS_NO_UPDATE_CHECK=1 - graphify: uv tool install graphifyy → graphify install - security-audit-skill: npx skills add cloudflare/security-audit-skill --skill security-audit ▶ 관련 영상 - 지난주 트렌딩 롱폼(10월 3주): youtu.be - OpenCode 무료 모델 직접 실측: youtu.be ▶ 링크 cloudflare/security-audit-skill anthropics/knowledge-work-plugins AgriciDaniel/claude-seo multica-ai/andrej-karpathy-skills TauricResearch/TradingAgents Graphify-Labs/graphify ruvnet/ruflo anomalyco/opencode stablyai/orca android/skills akitaonrails/ai-memory pingdotgg/t3code fastapi/fastapi ※ 내레이션은 AI 보이스(ElevenLabs)예요. 실화면이 없는 부분은 공식 문서에 적힌 동작을 그린 원리 모션이고, '이렇게 써 보세요' 카드는 문서에 있는 기능 범위의 활용 예예요. #GitHub트렌딩 #오픈소스 #개발자 #코딩에이전트 #SoloStack [en] This Week's Must-See Open Source: GitHub Trending Top 10 + Extras (Oct, Week 4) A full walkthrough of this week's GitHub Trending (weekly) Top 10 in page order (collected 2026-10-28 06:00 KST), plus the three repos ranked 11-13 — what each does, what changed recently, and how beginners and working developers can put it to use. 10 android/skills · 9 Orca · 8 OpenCode · 7 ruflo · 6 graphify · 5 TradingAgents · 4 andrej-karpathy-skills · 3 claude-seo · 2 knowledge-work-plugins · 1 Cloudflare security-audit-skill Extras: ai-memory, T3 Code, FastAPI (0.160/0.162 change parameter-model extras and omitted bool form fields). Check this week: upgrade ruflo to 3.63.3+, revoke and reissue provider keys stored in OpenCode Console, test FastAPI form handling before upgrading. Narration is an AI voice (ElevenLabs).

Huge props to @fastapi for this masterpiece and its insanely slick async architecture. The auto-docs combined with type hints makes shipping production-ready APIs feel like pure magic. 🚀 🔗 项目地址：fastapi/fastapi

Optimizing Async Event Loops: How I Dropped Server Shutdown Latency from 200ms to <1ms in Uvicorn Optimizing Async Event Loops: How I Dropped Server Shutdown Latency from 200ms to 1ms in Uvicorn In high-concurrency microservices, server shutdown latency is often treated as an afterthought. Engineers spend months shaving microseconds off request handlers, yet accept multi-second teardown delays during rolling container deployments, CI runner teardowns, and automated test harnesses. While profiling ASGI server lifecycles in Uvicorn, the lightning-fast ASGI server powering FastAPI and Starlette, I investigated an architectural latency tax: idle shutdown requests could experience 100–200ms of delay when the server relied on periodic sleep polling. By exploring a wakeable asyncio.Event synchronization primitive in connection with Uvicorn PR #3238, I investigated how to reduce this delay from approximately 200ms to sub-millisecond response times. The reported benchmark results include a median latency of 0.42ms, representing an approximately 235× improvement over a 98.6ms baseline. Here is the root-cause analysis, the event-loop mechanics, the architectural comparison, and the reported benchmark numbers. --- 1. The Anatomy of the Bug: The 200ms Sleep Tax Uvicorn's main server lifecycle coordinates socket binding, lifespan events, signal handling, and connection management. In a polling-based design, the server repeatedly checks whether it should exit: # Simplified polling-based implementation while not self.should_exit: await asyncio.sleep(0.2) Whenever an operator requests shutdown, changes the exit state, or sends a termination signal, the server must eventually resume execution and inspect that state. If the coroutine is suspended inside asyncio.sleep(), the shutdown request may remain unnoticed until the sleep completes. The Problem with Periodic Sleep Polling Time (ms) ─────────────────────────────────────────────► 0 ms 100 ms 200 ms │ │ │ ▼ ▼ ▼ Sleep begins Timer expires Next check ▲ │ Shutdown requested at 42 ms │ └──── Up to 158 ms waiting for the timer The actual delay depends on the polling interval, when the shutdown request arrives, and how quickly the event loop schedules the coroutine. Why This Matters Unpredictable latency: A shutdown request arriving immediately after a sleep begins may wait almost the entire interval. Compounding test-suite overhead: Repeatedly starting and stopping application servers can accumulate unnecessary waiting time. Container termination: During Kubernetes rollouts and other containerized deployments, prompt shutdown signaling helps the application begin its termination procedure sooner. It does not, by itself, guarantee faster completion of graceful shutdown. Developer productivity: Reducing unnecessary teardown delays can improve integration-test turnaround and local development workflows. --- 2. Architectural Comparison Before: Polling Loop The following sequence illustrates a polling-based implementation. sequenceDiagram autonumber participant Loop as asyncio Event Loop participant Server as Uvicorn Server Loop participant Caller as Shutdown Trigger Server->>Loop: await asyncio.sleep(0.2) Note over Server,Loop: Coroutine is suspended Caller->>Server: Request shutdown Note over Server: Exit state changes Loop-->>Server: Sleep completes Server->>Server: Check should_exit Server->>Server: Begin graceful shutdown The problem is that changing a Boolean flag does not automatically wake a coroutine suspended in asyncio.sleep(). The coroutine must resume before it can inspect the updated state. After: Event-Driven Wake-Up An event-driven design provides an explicit notification mechanism. sequenceDiagram autonumber participant Loop as asyncio Event Loop participant Server as Server Loop participant Event as asyncio.Event participant Caller as Shutdown Trigger Server->>Event: await event.wait() Note over Server,Event: Coroutine suspends until signaled Caller->>Event: event.set() Event-->>Loop: Schedule waiting coroutine Loop-->>Server: Resume coroutine Server->>Server: Check shutdown state Server->>Server: Begin graceful shutdown Python's asyncio.Event is designed for signaling between asynchronous tasks. Instead of periodically checking whether shutdown has been requested, the server can wait for a notification and resume when the event is set. Important: Event-driven notification removes the need to wait for the polling interval, but the coroutine still depends on event-loop scheduling. Sub-millisecond latency is a benchmark result, not a guaranteed property of asyncio.Event. --- 3. The Implementation The objective is to make shutdown signaling responsive without busy-waiting or continuously consuming CPU resources. The following examples illustrate the design. They are simplified examples, not a verified reproduction of the exact production diff in PR #3238. Step 1: Add a Shutdown Event import asyncio class Server: def __init__(self) -> None: self.should_exit = False self.stop_event: asyncio.Event | None = None The event represents a notification that the server's main loop should stop waiting. Step 2: Initialize the Event During Startup async def serve(self) -> None: self.stop_event = asyncio.Event() await self.startup() if self.should_exit: await self.shutdown() return await self.main_loop() await self.shutdown() Initializing the event within the asynchronous lifecycle makes its ownership and initialization point explicit. A production implementation must also account for startup failures, repeated invocations, and the server's existing lifecycle guarantees. Step 3: Replace Periodic Polling A simple event-driven loop can look like this: async def main_loop(self) -> None: assert self.stop_event is not None while not self.should_exit: await self.stop_event.wait() This example assumes that the event is the only thing the loop needs to await. If the server must also perform periodic work, manage reloads, or observe worker state, that work must be incorporated into the design rather than silently removed. For example, a timeout can be used when periodic maintenance is required: async def main_loop(self) -> None: assert self.stop_event is not None while not self.should_exit: try: await asyncio.wait_for( self.stop_event.wait(), timeout=0.5, ) except asyncio.TimeoutError: # Perform required periodic maintenance. pass Python's asyncio.wait_for provides timeout-based waiting. A timeout should not be added without a reason. If no periodic work is needed, waiting directly on the event avoids unnecessary timer wake-ups. Step 4: Signal the Event During Shutdown def request_shutdown(self) -> None: self.should_exit = True if self.stop_event is not None: self.stop_event.set() Calling set() wakes tasks waiting on the event. If shutdown can be requested from another thread, the implementation must respect asyncio's thread-safety requirements. A common pattern is: loop.call_soon_threadsafe(stop_event.set) See the official asyncio event-loop documentation for details. Critical Edge Cases Lazy initialization: Create and use the event in an appropriate asynchronous lifecycle context, accounting for the Python versions and process model supported by the application. Periodic maintenance: If the loop is responsible for health checks, worker monitoring, or reload behavior, preserve those responsibilities in the new design. Signal handling: Ensure termination signals reliably reach the event-loop thread and trigger the appropriate shutdown procedure. Repeated shutdown requests: Make shutdown handling idempotent so multiple signals do not cause inconsistent lifecycle transitions. Graceful shutdown: Waking the main loop is not equivalent to completing shutdown. Active requests, connection draining, application lifespan hooks, and resource cleanup may still take time. --- 4. Benchmark Results The following table contains the measurements reported in this investigation. These figures have not been independently verified here against the linked pull request. Reproduce the benchmark against the relevant source revision before presenting the results as independently confirmed findings. | Metric | Legacy Polling | Event-Driven Approach | Reported Improvement | | ------------------------ | -------------: | --------------------: | -------------------: | | Minimum shutdown latency | 12.4 ms | 0.18 ms | 68.9× | | Median (p50) | 98.6 ms | 0.42 ms | 234.8× | | 99th percentile (p99) | 198.2 ms | 0.89 ms | 222.7× | | Idle CPU utilization | 0.02% | 0.02% | No reported change | | 100-test teardown suite | 18.42 s | 0.12 s | 153.5× | The speedup ratios are calculated from the reported latency values and rounded. Shutdown Latency Distribution Lower latency is better. Legacy polling (p99) ████████████████████████████████████████ 198.2 ms Event-driven approach (p99) ▏ 0.89 ms How to Interpret These Results The reported median decreases from 98.6ms to 0.42ms. That corresponds to approximately: 98.6 / 0.42 = 234.8× faster The reported p99 decreases from 198.2ms to 0.89ms, corresponding to approximately 222.7× faster. However, a reproducible performance report should document: - The exact source commit and Python version - Operating system and hardware - The shutdown-trigger mechanism - The number of iterations and warm-up procedure - Whether the measurement covers idle-loop wake-up or complete graceful shutdown - Whether active connections and application hooks are involved - The method used to measure CPU utilization - Raw measurements and percentile calculation methods The reported 100-test teardown result also requires an isolated benchmark to establish whether the improvement comes entirely from shutdown signaling or from other differences in test execution. --- 5. Key Engineering Lessons 1. Avoid Unnecessary Polling in Event-Driven Systems asyncio.sleep() is useful for scheduled work and periodic tasks. However, when a coroutine is waiting for a specific state transition, an explicit synchronization primitive may be more appropriate than repeatedly checking a Boolean flag. The right choice depends on the lifecycle requirements, not a blanket rule that sleeping is always an anti-pattern. 2. Low CPU Usage Does Not Mean Low Latency A suspended coroutine can consume almost no CPU while still introducing significant response delay. Performance engineering must measure both resource utilization and responsiveness. 3. Shutdown Responsiveness and Shutdown Duration Are Different A server can respond to a shutdown request quickly but still take time to drain connections and clean up resources. Measure these phases separately to avoid optimizing the wrong bottleneck. 4. Performance Claims Need Reproducible Evidence Benchmark improvements are most useful when other engineers can reproduce them. A strong report includes the source revision, test harness, environment, sample count, raw results, and measurement methodology. 5. Small Lifecycle Improvements Can Compound In CI environments and automated integration tests, unnecessary waits may be repeated many times. Even a small improvement can become meaningful when multiplied across a large number of server lifecycle operations. --- Conclusion Server shutdown latency deserves the same engineering attention as request-processing latency. Periodic polling can delay a shutdown response when a coroutine must wait for a timer before checking its state. An event-driven approach using Python's asyncio.Event provides an explicit notification mechanism that can remove this polling delay. The implementation must still preserve signal handling, worker monitoring, active-connection management, and graceful-shutdown behavior. The broader lesson is simple: Measure the lifecycle, identify the actual bottleneck, and choose synchronization primitives that match the behavior your system needs. --- Article Author Attribution Written by Raj Gahoi B.Tech CSE | Open-Source Contributor | Software Developer Connect with me on GitHub · LinkedIn --- References - Uvicorn repository - Uvicorn PR #3238 - Python asyncio synchronization primitives - Python asyncio tasks and timeouts - Python asyncio event loop - FastAPI repository - Starlette repository

Top 5 GitHub Today: Visual Guide to Claude Code and Agents #Shorts This top-5 GitHub countdown helps you viewers will understand how to orchestrate Claude Code from basic concepts to advanced agents with templates, and discover four other trending developer tools. Each pick is grounded in the repository's supplied documentation and linked below for your own review. 1. luongnv89/claude-howto — luongnv89/claude-howto 2. anthropics/knowledge-work-plugins — anthropics/knowledge-work-plugins 3. fastapi/fastapi — fastapi/fastapi 4. Graphify-Labs/graphify — Graphify-Labs/graphify 5. DietrichGebert/ponytail — DietrichGebert/ponytail Subscribe for another evidence-backed GitHub roundup. #GitHub #OpenSource #Programming #AI #Developers #Shorts

fastapi/fastapiが7位に浮上。Pythonの型ヒントを活用し直感的にAPIを構築できるフレームワークです。自動ドキュメント生成と高いパフォーマンスを備え、迅速かつ堅牢なWebサービス開発を行いたい方におすすめです。 fastapi/fastapi

Fastapi: turn Python code into production‑ready web APIs FastAPI framework, high performance, easy to learn, fast to code, ready for production fastapi/fastapi on GitHub: fastapi/fastapi This week's round-up: youtube.com Trending today. This video describes what the project says it does — it is not a review or a recommendation. ▶ More like this: youtube.com Subscribe for a new open source project every day. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [ar] FastAPI: حوّل كود بايثون إلى واجهات برمجة تطبيقات ويب جاهزة للإنتاج إطار عمل FastAPI، إطار عمل Fastapi، خوارزمية برمجية، تعلّم سريع، خوارزمية Fastapi، gitapa.org ... [bn] FastAPI: পাইথন কোডকে প্রোডাকশন-রেডি ওয়েব এপিআই-তে রূপান্তর করুন FastAPI ফ্রেমওয়ার্ক, উচ্চ পারফরম্যান্স, শেখা সহজ, দ্রুত কোড করা যায়, প্রোডাকশনের জন্য প্রস্তুত GitHub-এ fastapi/fastapi: fastapi/fastapi এই সপ্তাহের রাউন্ড-আপ: youtube.com আজকের ট্রেন্ডিং। এই ভিডিওটি প্রজেক্টটি যা করে বলে দাবি করে, তা বর্ণনা করে — এটি কোনো রিভিউ বা সুপারিশ নয়। ▶ এই ধরনের আরও ভিডিও: youtube.com প্রতিদিন একটি নতুন ওপেন সোর্স প্রজেক্টের জন্য সাবস্ক্রাইব করুন। #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [de-DE] FastAPI: Python-Code in produktionsreife Web-APIs verwandeln FastAPI-Framework: Hohe Performance, leicht zu erlernen, schnelle Entwicklung, produktionsreif fastapi/fastapi auf GitHub: fastapi/fastapi Wochenrückblick: youtube.com Heute im Trend. Dieses Video beschreibt die Projektbeschreibung – es ist keine Rezension oder Empfehlung. ▶ Ähnliche Videos: youtube.com Abonniere unseren Kanal für täglich neue Open-Source-Projekte. #Shorts #GitHub #OpenSource #Python #FastAPI #Lernen #Programmieren #Produktionsreif #Codierung #Programmierung #Entwickler #Software #Entwicklungstools #Quellcode [es-US] FastAPI: convierte código Python en web APIs listas para producción Framework FastAPI, de alto rendimiento, fácil de aprender, rápido de programar, listo para producción fastapi/fastapi en GitHub: fastapi/fastapi Resumen de esta semana: youtube.com Tendencias del día. Este video describe lo que el proyecto dice hacer; no es una reseña ni una recomendación. ▶ Más contenido similar: youtube.com Suscríbete para descubrir un nuevo proyecto de código abierto cada día. #Shorts #GitHub #OpenSource #python #fastapi #aprender #programar #listo #producción #programación #desarrollador #software #herramientasdedesarrollo #códigofuente [fr-FR] FastAPI : transformez du code Python en API web prêtes pour la production Framework FastAPI : hautes performances, facile à apprendre, rapide à coder, prêt pour la production. fastapi/fastapi sur GitHub : fastapi/fastapi Récapitulatif de la semaine : youtube.com À la une aujourd'hui. Cette vidéo décrit le fonctionnement du projet ; il ne s'agit ni d'un test, ni d'une recommandation. ▶ Plus de vidéos similaires : youtube.com Abonnez-vous pour découvrir un nouveau projet open source chaque jour. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [hi] FastAPI: Python कोड को प्रोडक्शन-रेडी वेब API में बदलें FastAPI फ्रेमवर्क, उच्च प्रदर्शन, सीखने में आसान, कोडिंग में तेज़, उत्पादन के लिए तैयार fastapi/fastapi GitHub पर: fastapi/fastapi इस सप्ताह का सारांश: youtube.com आज का ट्रेंडिंग। यह वीडियो प्रोजेक्ट के कार्यों का वर्णन करता है - यह कोई समीक्षा या अनुशंसा नहीं है। ▶ इस तरह के और वीडियो: youtube.com हर दिन एक नए ओपन सोर्स प्रोजेक्ट के लिए सब्सक्राइब करें। #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [id] FastAPI: ubah kode Python menjadi API web siap produksi Framework FastAPI, berkinerja tinggi, mudah dipelajari, cepat dalam pengkodean, siap untuk produksi fastapi/fastapi di GitHub: fastapi/fastapi Ringkasan minggu ini: youtube.com Sedang tren hari ini. Video ini menjelaskan apa yang diklaim proyek ini — ini bukan ulasan atau rekomendasi. ▶ Lebih banyak seperti ini: youtube.com Berlangganan untuk proyek open source baru setiap hari. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [it] FastAPI: trasforma il codice Python in API web pronte per la produzione Framework FastAPI: alte prestazioni, facile da imparare, veloce da programmare, pronto per la produzione. fastapi/fastapi su GitHub: fastapi/fastapi Riepilogo della settimana: youtube.com Tendenze di oggi. Questo video descrive cosa promette il progetto, non è una recensione né una raccomandazione. ▶ Altri video simili: youtube.com Iscriviti per un nuovo progetto open source ogni giorno. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [iw] FastAPI: הפיכת קוד פייתון ל-Web APIs מוכנים לייצור מסגרת FastAPI, ביצועים גבוהים, קל ללמידה, מהיר לקודד, מוכן לייצור fastapi/fastapi ב-GitHub: fastapi/fastapi סיכום השבוע: youtube.com טרנד היום. סרטון זה מתאר מה הפרויקט אומר שהוא עושה - זו אינה סקירה או המלצה. ▶ עוד כמו זה: youtube.com הירשמו לפרויקט קוד פתוח חדש בכל יום. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [ja] FastAPI：Pythonコードを本番環境向けのWeb APIに変換する FastAPIフレームワークは、高性能で習得しやすく、コーディングも迅速、そしてすぐに本番環境で使用できます。 GitHubのfastapi/fastapi：fastapi/fastapi 今週のまとめ：youtube.com 本日のトレンド。この動画はプロジェクトの説明であり、レビューや推奨ではありません。 ▶ 類似動画はこちら：youtube.com 毎日新しいオープンソースプロジェクトを紹介するチャンネル登録はこちら。 #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [ko] FastAPI: 파이썬 코드로 운영 환경 준비가 완료된 웹 API 만들기 FastAPI 프레임워크, 고성능, 쉬운 학습, 빠른 코딩, 바로 사용 가능 fastapi/fastapi GitHub: fastapi/fastapi 이번 주 요약: youtube.com 오늘의 인기 영상입니다. 이 영상은 프로젝트의 기능을 설명하는 영상이며, 리뷰나 추천이 아닙니다. ▶ 더 많은 영상 보기: youtube.com 매일 새로운 오픈 소스 프로젝트를 받아보시려면 구독하세요. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [ml] FastAPI: പൈത്തൺ കോഡിനെ പ്രൊഡക്ഷൻ-റെഡി വെബ് API-കളാക്കി മാറ്റാം FastAPI ഫ്രെയിംവർക്ക്, ഉയർന്ന പ്രകടനം, പഠിക്കാൻ എളുപ്പമാണ്, വേഗത്തിൽ കോഡ് ചെയ്യാൻ കഴിയും, ഉൽപ്പാദനത്തിന് തയ്യാറാണ് GitHub-ലെ fastapi/fastapi: fastapi/fastapi ഈ ആഴ്ചയിലെ സംഗ്രഹം: youtube.com ഇന്ന് ട്രെൻഡുചെയ്യുന്നു. പ്രോജക്റ്റ് എന്താണ് പറയുന്നതെന്ന് ഈ വീഡിയോ വിവരിക്കുന്നു - ഇത് ഒരു അവലോകനമോ ശുപാർശയോ അല്ല. ▶ ഇതുപോലുള്ള കൂടുതൽ: youtube.com എല്ലാ ദിവസവും ഒരു പുതിയ ഓപ്പൺ സോഴ്‌സ് പ്രോജക്റ്റിനായി സബ്‌സ്‌ക്രൈബുചെയ്യുക. #ഷോർട്ട്സ് #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [nl-NL] FastAPI: zet Python-code om in productieklare web-API's FastAPI framework, hoge prestaties, makkelijk te leren, snel te coderen, klaar voor productie fastapi/fastapi op GitHub: fastapi/fastapi Het overzicht van deze week: youtube.com Trending vandaag. Deze video beschrijft wat het project doet — het is geen recensie of aanbeveling. ▶ Meer zoals dit: youtube.com Abonneer je voor een nieuw open source project elke dag. #Shorts #GitHub #OpenSource #python #fastapi #leren #coderen #klaar #productie #coderen #programmeren #ontwikkelaar #software #ontwikkeltools #broncode [pa] FastAPI: ਪਾਇਥਨ ਕੋਡ ਨੂੰ ਪ੍ਰੋਡਕਸ਼ਨ-ਤਿਆਰ ਵੈੱਬ API ਵਿੱਚ ਬਦਲੋ FastAPI ਫਰੇਮਵਰਕ, ਉੱਚ ਪ੍ਰਦਰਸ਼ਨ, ਸਿੱਖਣ ਵਿੱਚ ਆਸਾਨ, ਕੋਡ ਕਰਨ ਵਿੱਚ ਤੇਜ਼, ਉਤਪਾਦਨ ਲਈ ਤਿਆਰ fastapi/fastapi GitHub 'ਤੇ: fastapi/fastapi ਇਸ ਹਫ਼ਤੇ ਦਾ ਸੰਖੇਪ: youtube.com ਅੱਜ ਟ੍ਰੈਂਡਿੰਗ। ਇਹ ਵੀਡੀਓ ਦੱਸਦਾ ਹੈ ਕਿ ਪ੍ਰੋਜੈਕਟ ਕੀ ਕਹਿੰਦਾ ਹੈ ਕਿ ਇਹ ਕੀ ਕਰਦਾ ਹੈ — ਇਹ ਕੋਈ ਸਮੀਖਿਆ ਜਾਂ ਸਿਫ਼ਾਰਸ਼ ਨਹੀਂ ਹੈ। ▶ ਇਸ ਤਰ੍ਹਾਂ ਦੇ ਹੋਰ: youtube.com ਹਰ ਰੋਜ਼ ਇੱਕ ਨਵੇਂ ਓਪਨ ਸੋਰਸ ਪ੍ਰੋਜੈਕਟ ਲਈ ਗਾਹਕ ਬਣੋ। #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [pl] Fastapi: przekształcanie kodu Pythona w gotowe do produkcji interfejsy API sieci Web Framework FastAPI, wysoka wydajność, łatwość nauki, szybkie kodowanie, gotowy do produkcji fastapi/fastapi na GitHubie: fastapi/fastapi Podsumowanie tygodnia: youtube.com Dzisiejsze trendy. Ten film opisuje, co projekt obiecuje — nie jest to recenzja ani rekomendacja. ▶ Więcej na ten temat: youtube.com Subskrybuj, aby każdego dnia otrzymywać informacje o nowym projekcie open source. #Shorts #GitHub #OpenSource #python #fastapi #nauka #kod #gotowy #produkcja #kodowanie #programowanie #programista #oprogramowanie #narzędzia #kod źródłowy [pt-BR] FastAPI: transforme código Python em APIs web prontas para produção Framework FastAPI: alto desempenho, fácil de aprender, rápido para codificar, pronto para produção. fastapi/fastapi no GitHub: fastapi/fastapi Resumo desta semana: youtube.com Em alta hoje. Este vídeo descreve o que o projeto faz — não é uma análise ou recomendação. ▶ Mais vídeos como este: youtube.com Inscreva-se para receber um novo projeto de código aberto todos os dias. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [ru] FastAPI: превращаем код на Python в готовые к продакшену веб-API FastAPI-фреймворк, высокая производительность, простота в освоении, быстрое написание кода, готов к продакшену fastapi/fastapi на GitHub: fastapi/fastapi Обзор этой недели: youtube.com Тренды сегодня. В этом видео описывается, что, по заявлению проекта, он делает — это не обзор и не рекомендация. ▶ Больше подобного: youtube.com Подписывайтесь, чтобы получать информацию о новых проектах с открытым исходным кодом каждый день. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [ta] FastAPI: பைதான் குறியீட்டை பயன்பாட்டிற்குத் தயாரான இணைய ஏபிஐ-களாக (Web APIs) மாற்றுவது எப்படி FastAPI கட்டமைப்பு, உயர் செயல்திறன், எளிதில் கற்கலாம், விரைவாகக் குறியீடு எழுதலாம், உற்பத்திக்குத் தயார் GitHub-இல் fastapi/fastapi: fastapi/fastapi இந்த வாரத் தொகுப்பு: youtube.com இன்று பிரபலமாக உள்ளது. இந்த வீடியோ, இந்தத் திட்டம் என்ன செய்வதாகக் கூறுகிறதோ அதை விவரிக்கிறது — இது ஒரு விமர்சனமோ அல்லது பரிந்துரையோ அல்ல. ▶ இது போன்ற மேலும் பல: youtube.com ஒவ்வொரு நாளும் ஒரு புதிய திறந்த மூலத் திட்டத்திற்காக சப்ஸ்கிரைப் செய்யுங்கள். #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [te] FastAPI: పైథాన్ కోడ్‌ను ప్రొడక్షన్-రెడీ వెబ్ APIలుగా మార్చండి ఫాస్ట్‌ఏపీఐ ఫ్రేమ్‌వర్క్, అధిక పనితీరు, నేర్చుకోవడం సులభం, వేగంగా కోడ్ చేయవచ్చు, ప్రొడక్షన్‌కు సిద్ధంగా ఉంది గిట్‌హబ్‌లో fastapi/fastapi: fastapi/fastapi ఈ వారం రౌండప్: youtube.com ఈరోజు ట్రెండింగ్. ఈ వీడియో, ప్రాజెక్ట్ ఏమి చేస్తుందో వివరిస్తుంది — ఇది సమీక్ష లేదా సిఫార్సు కాదు. ▶ ఇలాంటివి మరిన్ని: youtube.com ప్రతిరోజూ ఒక కొత్త ఓపెన్ సోర్స్ ప్రాజెక్ట్ కోసం సబ్‌స్క్రయిబ్ చేసుకోండి. #Shorts #GitHub #OpenSource #python #fastapi #learn #code #ready #production #coding #programming #developer #software #devtools #sourcecode [uk] FastAPI: перетворення коду на Python у готові до роботи веб-API Фреймворк FastAPI, висока продуктивність, легкий у навчанні, швидкий у кодуванні, готовий до продакшену fastapi/fastapi на GitHub: fastapi/fastapi Огляд цього тижня: youtube.com Тренди сьогодні. Це відео описує, що саме робить проект — це не огляд і не рекомендація. ▶ Більше схожих відео: youtube.com Підписуйтесь на новий проект з відкритим кодом щодня. #Шорти #GitHub #ВідкритийВихіднийКод #python #fastapi #навчання #код #готовий #продакшн #кодування #програмування #розробник #програмне забезпечення #інструментирозробки #вихіднийкод

Turning a Python script into a CLI? 🐍 Typer uses type hints to create commands, options and helpful prompts. Build a usable terminal tool with less boilerplate. ⌨️ fastapi/typer #Python #浇朋友 #蓝朋友 #互关 #fo

GitHub趋势：单日370星，3个项目让AI替你干活 今天 3 个项目，都在让 AI 替你干活。 先看 luongnv89/claude-howto，可视化、示例驱动的 Claude Code 指南，从基础概念到高级智能体全有，复制粘贴就能用。 再看 K-Dense-AI/scientific-agent-skills，把普通智能体变成 AI 科学家，177 个验证过的即用技能，生物化学医学全包。 还有 fastapi/fastapi，高性能的 Python 网页框架，写起来快、学起来也快，AI 应用的后端很多都用它搭。 这 3 个项目，你最想尝试哪个？ 本期项目地址： - luongnv89/claude-howto: luongnv89/claude-howto - K-Dense-AI/scientific-agent-skills: K-Dense-AI/scientific-agent-skills - fastapi/fastapi: fastapi/fastapi 背景音乐：Rafael Krux《Rafael Krux – Inspiring Advertising (Upbeat Summer Corporate)》，CC BY 4.0 授权 #GitHub热门 #程序员 #开源 #AI #科技 #GitHub趋势

타입 힌트 하나로 API 자동완성, FastAPI 파이썬 타입 힌트만으로 고성능 API를 빠르게 만드는 FastAPI. Starlette와 Pydantic 기반 성능, 자동 문서화, 비동기 지원까지 한눈에 정리했습니다. 🔗 GitHub: fastapi/fastapi #FastAPI #Python #API #웹개발 #Pydantic #Starlette #비동기 #개발자 #오픈소스 #백엔드 #github #깃헙트렌딩 #코딩 #숏폼 #opensource [de-DE] API-Autovervollständigung mit nur einem Typ-Hint: FastAPI FastAPI ermöglicht die schnelle Entwicklung leistungsstarker APIs ausschließlich mit Python-Typinformationen. Wir haben die Performance basierend auf Starlette und Pydantic, die automatische Dokumentation und die Unterstützung für asynchrone Operationen übersichtlich zusammengefasst. 🔗 GitHub: fastapi/fastapi #FastAPI #Python #API #Webentwicklung #Pydantic #Starlette #Asynchron #Entwickler #OpenSource #Backend #github #GitHubTrending #Programmierung #ShortForms #opensource [es-US] Autocompletado de API con un solo type hint, FastAPI FastAPI te permite crear APIs de alto rendimiento rápidamente usando solo sugerencias de tipos de Python. Hemos resumido su rendimiento, basado en Starlette y Pydantic, su documentación automática y su compatibilidad con programación asíncrona. 🔗 GitHub: fastapi/fastapi #FastAPI #Python #API #DesarrolloWeb #Pydantic #Starlette #Asíncrono #Desarrollador #CódigoAbierto #Backend #github #GitHubTrending #Programación #Abreviaturas #códigoabierto [fr-FR] Auto-complétion d'API avec un seul type hint, FastAPI FastAPI vous permet de créer rapidement des API performantes en utilisant uniquement les annotations de type Python. Découvrez en un coup d'œil ses performances (basées sur Starlette et Pydantic), sa documentation automatique et sa prise en charge de l'asynchrone. 🔗 GitHub : fastapi/fastapi #FastAPI #Python #API #WebDevelopment #Pydantic #Starlette #Asynchronous #Developer #OpenSource #Backend #github #GitHubTrending #Coding #ShortForms #opensource [hi] सिंगल टाइप हिंट के साथ एपीआई ऑटो-कंप्लीट, फास्टएपीआई FastAPI, जो आपको केवल Python टाइप हिंट्स का उपयोग करके उच्च-प्रदर्शन वाले API को तेज़ी से बनाने में सक्षम बनाता है। हमने Starlette और Pydantic पर आधारित प्रदर्शन, स्वचालित दस्तावेज़ीकरण और अतुल्यकालिक समर्थन का संक्षिप्त विवरण प्रस्तुत किया है। 🔗 GitHub: fastapi/fastapi #FastAPI #Python #API #WebDevelopment #Pydantic #Starlette #Asynchronous #Developer #OpenSource #Backend #github #GitHubTrending #Coding #ShortForms #opensource [id] Fitur Autocomplete API dengan Petunjuk Tipe Tunggal, FastAPI FastAPI, yang memungkinkan Anda membangun API berkinerja tinggi dengan cepat hanya menggunakan petunjuk tipe Python. Kami telah merangkum kinerja berdasarkan Starlette dan Pydantic, dokumentasi otomatis, dan dukungan asinkron secara sekilas. 🔗 GitHub: fastapi/fastapi #FastAPI #Python #API #WebDevelopment #Pydantic #Starlette #Asynchronous #Developer #OpenSource #Backend #github #GitHubTrending #Coding #ShortForms #opensource [it] Completamento automatico API con suggerimento di un singolo tipo, FastAPI FastAPI, che ti permette di creare rapidamente API ad alte prestazioni utilizzando solo suggerimenti di tipo Python. Abbiamo riassunto a colpo d'occhio le prestazioni basate su Starlette e Pydantic, la documentazione automatica e il supporto asincrono. 🔗 GitHub: fastapi/fastapi #FastAPI #Python #API #WebDevelopment #Pydantic #Starlette #Asynchronous #Developer #OpenSource #Backend #github #GitHubTrending #Coding #ShortForms #opensource [pt-BR] Preenchimento automático de API com apenas um type hint, FastAPI FastAPI permite criar APIs de alto desempenho rapidamente, usando apenas dicas de tipo do Python. Resumimos o desempenho com base em Starlette e Pydantic, a documentação automática e o suporte assíncrono em um só lugar. 🔗 GitHub: fastapi/fastapi #FastAPI #Python #API #WebDevelopment #Pydantic #Starlette #Asynchronous #Developer #OpenSource #Backend #github #GitHubTrending #Coding #ShortForms #opensource

Several more small bug fix releases in a row (5 just today), the lastest is 0.156.8 🚀 fastapi/fastapi