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Paolo Melchiorre<p>Šimon Podhajský presents the talk "Pydantic, Everywhere, All at Once" to a packed room at the EuroPython 2025 conference.</p><p><a href="https://ep2025.europython.eu/session/pydantic-everywhere-all-at-once" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">ep2025.europython.eu/session/p</span><span class="invisible">ydantic-everywhere-all-at-once</span></a></p><p><a href="https://fosstodon.org/tags/EuroPython" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuroPython</span></a> <a href="https://fosstodon.org/tags/EuroPython2025" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>EuroPython2025</span></a> <a href="https://fosstodon.org/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> <a href="https://fosstodon.org/tags/FastAPI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FastAPI</span></a> </p><p>CC <span class="h-card" translate="no"><a href="https://fosstodon.org/@europython" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>europython</span></a></span> <span class="h-card" translate="no"><a href="https://fosstodon.org/@FastAPI" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>FastAPI</span></a></span> <span class="h-card" translate="no"><a href="https://fosstodon.org/@pydantic" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>pydantic</span></a></span></p>
Borutzki<p>If you ever ask why it’s worth updating <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> dependencies from time to time, <a href="https://mastodon.social/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> serves as a nice example with the performance boost introduced. I actually could see it, given the complexity of models I deal with on a daily basis.</p><p>&gt; Recent memory usage optimizations are most relevant for projects with lots of models, particularly those with nested/reused models. In these cases, you can expect a 2-5x reduction in memory usage.</p><p><a href="https://mastodon.social/tags/DailyPythonista" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DailyPythonista</span></a><br><a href="https://pydantic.dev/articles/pydantic-v2-11-release" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pydantic.dev/articles/pydantic</span><span class="invisible">-v2-11-release</span></a></p>
Julien Maupetit<p>🐍 Loading <a href="https://mamot.fr/tags/pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pydantic</span></a> models from <a href="https://mamot.fr/tags/JSON" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JSON</span></a> without running out of memory — by <span class="h-card" translate="no"><a href="https://hachyderm.io/@itamarst" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>itamarst</span></a></span> </p><p>TIL <a href="https://mamot.fr/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> slots usage 🙏</p><p><a href="https://pythonspeed.com/articles/pydantic-json-memory/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pythonspeed.com/articles/pydan</span><span class="invisible">tic-json-memory/</span></a></p>
:rss: Hacker News<p>Design Pressure: The Invisible Hand That Shapes Your Code<br><a href="https://hynek.me/talks/design-pressure/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hynek.me/talks/design-pressure</span><span class="invisible">/</span></a><br><a href="https://rss-mstdn.studiofreesia.com/tags/ycombinator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ycombinator</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/OOP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OOP</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/object_oriented_code" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>object_oriented_code</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/software_design" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>software_design</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/design_pressure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>design_pressure</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/ORM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ORM</span></a> <a href="https://rss-mstdn.studiofreesia.com/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a></p>
Gonçalo Valério<p>"Loading Pydantic models from JSON without running out of memory"</p><p><a href="https://pythonspeed.com/articles/pydantic-json-memory/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pythonspeed.com/articles/pydan</span><span class="invisible">tic-json-memory/</span></a></p><p><a href="https://s.ovalerio.net/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://s.ovalerio.net/tags/pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pydantic</span></a></p>
Python Rennes<p>Si vous utilisez <a href="https://social.breizhcamp.org/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a>, et que vous êtes confronté·es à des problèmes d'allocation mémoire lors de chargement de <a href="https://social.breizhcamp.org/tags/JSON" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JSON</span></a> volumineux, voici une exemple de comment contourner le problème, en utilisant la bibliothèque <a href="https://social.breizhcamp.org/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> ijson.<br><a href="https://pythonspeed.com/articles/pydantic-json-memory/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pythonspeed.com/articles/pydan</span><span class="invisible">tic-json-memory/</span></a></p>
GripNews<p>🌖 從 JSON 加載 Pydantic 模型,避免記憶體不足<br>➤ 解決 Pydantic 解析大型 JSON 檔案的記憶體瓶頸<br>✤ <a href="https://pythonspeed.com/articles/pydantic-json-memory/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pythonspeed.com/articles/pydan</span><span class="invisible">tic-json-memory/</span></a><br>本文探討了使用 Pydantic 從大型 JSON 文件中載入數據時,記憶體使用量過高的問題。作者介紹了兩種降低記憶體佔用的方法:一是使用增量 JSON 解析器 ijson,二是利用 `dataclass` 搭配 `slots`,以更有效率的方式儲存物件。透過實測,作者展示了不同方法的記憶體使用量差異,並建議 Pydantic 開發者考慮在未來版本中優化記憶體管理。<br>+ 這篇文章很有幫助,我一直遇到 Pydantic 解析大型 JSON 的問題,現在知道可以嘗試 ijson 和 dataclass 了!<br>+ 作者提出的解決方案很實用,而且提供了具體的程式碼範例,方便直接應用。希望 Pydantic 未來能內建這些優化功能。<br><a href="https://mastodon.social/tags/Python%E6%95%88%E8%83%BD" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python效能</span></a> <a href="https://mastodon.social/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> <a href="https://mastodon.social/tags/JSON%E8%A7%A3%E6%9E%90" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JSON解析</span></a> <a href="https://mastodon.social/tags/%E8%A8%98%E6%86%B6%E9%AB%94%E7%AE%A1%E7%90%86" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>記憶體管理</span></a></p>
N-gated Hacker News<p>🚀 Ah, the classic dilemma: how to load massive <a href="https://mastodon.social/tags/JSON" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JSON</span></a> files into <a href="https://mastodon.social/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> without summoning the out-of-memory demon. 😅 Clearly, the solution is to write yet another verbose article pretending it's rocket science, because, you know, common sense isn't enough. 🧠✨<br><a href="https://pythonspeed.com/articles/pydantic-json-memory/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pythonspeed.com/articles/pydan</span><span class="invisible">tic-json-memory/</span></a> <a href="https://mastodon.social/tags/Loading" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Loading</span></a> <a href="https://mastodon.social/tags/OutOfMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OutOfMemory</span></a> <a href="https://mastodon.social/tags/JSONFiles" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JSONFiles</span></a> <a href="https://mastodon.social/tags/TechHumor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TechHumor</span></a> <a href="https://mastodon.social/tags/DataProcessing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataProcessing</span></a> <a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/ngated" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ngated</span></a></p>
Hacker News<p>Loading Pydantic models from JSON without running out of memory</p><p><a href="https://pythonspeed.com/articles/pydantic-json-memory/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pythonspeed.com/articles/pydan</span><span class="invisible">tic-json-memory/</span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> <a href="https://mastodon.social/tags/JSON" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JSON</span></a> <a href="https://mastodon.social/tags/Memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Memory</span></a> <a href="https://mastodon.social/tags/Optimization" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Optimization</span></a> <a href="https://mastodon.social/tags/Memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Memory</span></a> <a href="https://mastodon.social/tags/Management" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Management</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/Programming" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Programming</span></a></p>
Mathias Panzenböck<p>What does <a href="https://chaos.social/tags/pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pydantic</span></a> have to do with <a href="https://chaos.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> now!? And which version to use anyway? pydantic, pydantic2, or pydantic3? My distribution only has python3-pydantic. <a href="https://chaos.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a></p>
scy<p>Did some benchmarking of how fast <a href="https://chaos.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> (3.13) w/ async <a href="https://chaos.social/tags/httpx" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>httpx</span></a> and <a href="https://chaos.social/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> could query a JSON API vs. <a href="https://chaos.social/tags/GoLang" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GoLang</span></a> (both including unmarshalling to native types and some regex validation).</p><p>While Python could do about 2.5k requests per second against localhost when running singlecore, Go did 10k.</p><p>However, not only is Go "only" 4× as fast, these differences quickly shrink to 30&nbsp;% when you introduce an actual network between the hosts, and become irrelevant with rate limiting&nbsp;&amp; DDoS protection.</p>
gary<p>the biggest things i need ai to do for me is to have a high initial elo ranking but also be trainable to scan all local docs and then also bring in a lots of real time data and open datasets 24/7, display results on series of dashboards <a href="https://infosec.exchange/tags/rag" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rag</span></a> <a href="https://infosec.exchange/tags/pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pydantic</span></a> <a href="https://infosec.exchange/tags/yacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>yacy</span></a> <a href="https://infosec.exchange/tags/httrack" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>httrack</span></a> <a href="https://infosec.exchange/tags/cached" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cached</span></a> version <a href="https://infosec.exchange/tags/best" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>best</span></a> stacks <a href="https://infosec.exchange/tags/free" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>free</span></a> for commercial use <a href="https://infosec.exchange/tags/competitive" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>competitive</span></a> intel <a href="https://infosec.exchange/tags/tailored" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tailored</span></a> data</p>
multimeric<p>Looking for some examples of people using Pydantic in bioinformatics. First relevant result is... oh my own conference talk. How unhelpful.</p><p><a href="https://genomic.social/tags/pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pydantic</span></a> <a href="https://genomic.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bioinformatics</span></a></p>
Winbuzzer<p>Pydantic Releases Sandboxed Python Execution Server for AI Agents via Model Context Protocol</p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> <a href="https://mastodon.social/tags/PydanticAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PydanticAI</span></a> <a href="https://mastodon.social/tags/MCP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MCP</span></a> <a href="https://mastodon.social/tags/ModelContextProtocol" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelContextProtocol</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/LLMs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLMs</span></a> <a href="https://mastodon.social/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AgenticAI</span></a> <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://mastodon.social/tags/DevTools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DevTools</span></a> <a href="https://mastodon.social/tags/Pyodide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pyodide</span></a> <a href="https://mastodon.social/tags/Deno" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Deno</span></a> <a href="https://mastodon.social/tags/Sandboxing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sandboxing</span></a> <a href="https://mastodon.social/tags/AISecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AISecurity</span></a> <a href="https://mastodon.social/tags/AIIntegration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIIntegration</span></a></p><p><a href="https://winbuzzer.com/2025/04/20/pydantic-releases-sandboxed-python-execution-server-for-ai-agents-via-model-context-protocol-xcxwbn/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">winbuzzer.com/2025/04/20/pydan</span><span class="invisible">tic-releases-sandboxed-python-execution-server-for-ai-agents-via-model-context-protocol-xcxwbn/</span></a></p>
Hacker News<p>MCP Run Python</p><p><a href="https://github.com/pydantic/pydantic-ai/tree/main/mcp-run-python" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/pydantic/pydantic-a</span><span class="invisible">i/tree/main/mcp-run-python</span></a></p><p><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/MCP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MCP</span></a> <a href="https://mastodon.social/tags/Run" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Run</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/Development" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Development</span></a> <a href="https://mastodon.social/tags/Hacker" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Hacker</span></a> <a href="https://mastodon.social/tags/News" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>News</span></a></p>
Meysam<p><a href="https://mastodon.social/tags/pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pydantic</span></a>, one of the most downloaded <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> library of all times...</p><p>crossing billions of total download just recently...</p><p>in the recent years...</p><p>has changed from one of the most elegant docs to one of the most horrifying and useless documentations ever...</p><p>anything you want to find on their pages these days is a "good luck" with a sneaky smear on the face...</p><p>truly a garbage if I'm being completely honest.</p><p><a href="https://mastodon.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a></p>
spla :fed: :vim:<p>Un altre descobriment en aquest camí ha estat <a href="https://mastodont.cat/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a>. Com podia viure programàticament parlant sense Pydantic?<br>Pydantic és una biblioteca de Python que serveix per validar i gestionar dades amb tipus. Et permet definir models (com classes) on s’especifica el tipus de cada camp, i automàticament valida i converteix les dades rebudes. Integrat a la perfecció amb fastAPI.</p><p> <a href="https://mastodont.cat/tags/appy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>appy</span></a> <a href="https://mastodont.cat/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodont.cat/tags/fastAPI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fastAPI</span></a></p>
Olivier Mehani<p><strong>Pydantic for data validation and hydration</strong></p><p><a href="https://blog.narf.ssji.net/2025/03/30/pydantic-for-data-validation-and-hydration/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blog.narf.ssji.net/2025/03/30/</span><span class="invisible">pydantic-for-data-validation-and-hydration/</span></a></p><p>When using Python in any serious way, one quickly encounters Pydantic. While I’ve run into it in many frameworks, up to now, I never took the time to sit down and work out what it was doing, beyond something like “data models and validation based on type annotations”.</p><p>I have so far used dataclasses for my data models and data transfer objects (DTO). But it finally happened, and I needed finer validation on the data within my model. So I decided to take Pydantic for a spin myself, and see what it was doing for real.</p><p>tl;dr:</p><p>Pydantic _is_ data models and validation based on type annotations (amongst other things)</p><p>It’s a (almost) drop-in replacement for dataclasses</p><p>Type resolution and validation does add one order of magnitude over dataclasses, but it’s quite acceptable as a tradeoff for not having to write any bespoke validation code</p><p>Not only can it validate data, but it can also construct nested Pydantic objects, with support for polymorphism.</p><p>The pydantic.TypeAdapter exposes some lower-level mechanisms allowing to compose Pydantic behaviours as needed </p><p> […]</p><p><a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blog.narf.ssji.net/tag/pydantic/" target="_blank">#Pydantic</a> <a rel="nofollow noopener" class="hashtag u-tag u-category" href="https://blog.narf.ssji.net/tag/python/" target="_blank">#Python</a></p>
spla :fed: :vim:<p>Ara millor, la línia de temps "home" necessita un token vàlid però la línia de temps "public" (federada) no.</p><p><a href="https://codeberg.org/spla/appy/commit/081cf661cc33d702cd0e53a74ab9030fbffd9311" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">codeberg.org/spla/appy/commit/</span><span class="invisible">081cf661cc33d702cd0e53a74ab9030fbffd9311</span></a></p><p>He tingut que crear un nou model <a href="https://mastodont.cat/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> per els tuts de la línia de temps federada perquè no han de tenir "favourited", "reblogged", "muted", "bookmarked", "pinned" ni "filtered" </p><p><a href="https://mastodont.cat/tags/appy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>appy</span></a> <a href="https://mastodont.cat/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodont.cat/tags/fastAPI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>fastAPI</span></a></p>
N-gated Hacker News<p>🚀 FastOpenAPI: because what the world really needed was YET ANOTHER tool generating docs for obscure <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> frameworks nobody uses 🎉. Forget simplicity, let's throw in <a href="https://mastodon.social/tags/Pydantic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Pydantic</span></a> v2 and call it <a href="https://mastodon.social/tags/innovation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>innovation</span></a>. Bravo, mrfatalyst, truly pushing the boundaries of unnecessary complexity! 🙄<br><a href="https://github.com/mr-fatalyst/fastopenapi" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/mr-fatalyst/fastope</span><span class="invisible">napi</span></a> <a href="https://mastodon.social/tags/FastOpenAPI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FastOpenAPI</span></a> <a href="https://mastodon.social/tags/DeveloperTools" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeveloperTools</span></a> <a href="https://mastodon.social/tags/Complexity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Complexity</span></a> <a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/ngated" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ngated</span></a></p>