ActivityPub Viewer

A small tool to view real-world ActivityPub objects as JSON! Enter a URL or username from Mastodon or a similar service below, and we'll send a request with the right Accept header to the server to view the underlying object.

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{ "@context": [ "https://www.w3.org/ns/activitystreams", { "ostatus": "http://ostatus.org#", "atomUri": "ostatus:atomUri", "inReplyToAtomUri": "ostatus:inReplyToAtomUri", "conversation": "ostatus:conversation", "sensitive": "as:sensitive", "toot": "http://joinmastodon.org/ns#", "votersCount": "toot:votersCount", "litepub": "http://litepub.social/ns#", "directMessage": "litepub:directMessage", "Hashtag": "as:Hashtag" } ], "id": "https://neuromatch.social/users/elduvelle/statuses/109655191929101903", "type": "Note", "summary": null, "inReplyTo": null, "published": "2023-01-08T19:17:23Z", "url": "https://neuromatch.social/@elduvelle/109655191929101903", "attributedTo": "https://neuromatch.social/users/elduvelle", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://neuromatch.social/users/elduvelle/followers" ], "sensitive": false, "atomUri": "https://neuromatch.social/users/elduvelle/statuses/109655191929101903", "inReplyToAtomUri": null, "conversation": "tag:neuromatch.social,2023-01-08:objectId=578862:objectType=Conversation", "content": "<p>Hey all,<br>As we are on a server full of computational people 🖥️​ (right?), anyone has tips, or specific methods, to <em>accelerate</em> their code? Either general ones or specific to <a href=\"https://neuromatch.social/tags/Matlab\" class=\"mention hashtag\" rel=\"tag\">#<span>Matlab</span></a> or <a href=\"https://neuromatch.social/tags/Python\" class=\"mention hashtag\" rel=\"tag\">#<span>Python</span></a> ?</p><p>For example, in Matlab, using matrix operations instead of for loops; or use <code>tic()</code> and <code>toc()</code> to estimate how long a part of the code takes to run..<br>Thanks! 🙏​<br><a href=\"https://neuromatch.social/tags/Coding\" class=\"mention hashtag\" rel=\"tag\">#<span>Coding</span></a> <a href=\"https://neuromatch.social/tags/CodingTips\" class=\"mention hashtag\" rel=\"tag\">#<span>CodingTips</span></a></p>", "contentMap": { "en": "<p>Hey all,<br>As we are on a server full of computational people 🖥️​ (right?), anyone has tips, or specific methods, to <em>accelerate</em> their code? Either general ones or specific to <a href=\"https://neuromatch.social/tags/Matlab\" class=\"mention hashtag\" rel=\"tag\">#<span>Matlab</span></a> or <a href=\"https://neuromatch.social/tags/Python\" class=\"mention hashtag\" rel=\"tag\">#<span>Python</span></a> ?</p><p>For example, in Matlab, using matrix operations instead of for loops; or use <code>tic()</code> and <code>toc()</code> to estimate how long a part of the code takes to run..<br>Thanks! 🙏​<br><a href=\"https://neuromatch.social/tags/Coding\" class=\"mention hashtag\" rel=\"tag\">#<span>Coding</span></a> <a href=\"https://neuromatch.social/tags/CodingTips\" class=\"mention hashtag\" rel=\"tag\">#<span>CodingTips</span></a></p>" }, "attachment": [], "tag": [ { "type": "Hashtag", "href": "https://neuromatch.social/tags/matlab", "name": "#matlab" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/python", "name": "#python" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/coding", "name": "#coding" }, { "type": "Hashtag", "href": "https://neuromatch.social/tags/codingtips", "name": "#codingtips" } ], "replies": { "id": "https://neuromatch.social/users/elduvelle/statuses/109655191929101903/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://neuromatch.social/users/elduvelle/statuses/109655191929101903/replies?only_other_accounts=true&page=true", "partOf": "https://neuromatch.social/users/elduvelle/statuses/109655191929101903/replies", "items": [] } }, "likes": { "id": "https://neuromatch.social/users/elduvelle/statuses/109655191929101903/likes", "type": "Collection", "totalItems": 7 }, "shares": { "id": "https://neuromatch.social/users/elduvelle/statuses/109655191929101903/shares", "type": "Collection", "totalItems": 13 } }