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.
{
"@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"
}
],
"id": "https://mathstodon.xyz/users/dlzv/statuses/109291071352945761",
"type": "Note",
"summary": null,
"inReplyTo": "https://mathstodon.xyz/users/dlzv/statuses/109291070024045910",
"published": "2022-11-05T11:56:44Z",
"url": "https://mathstodon.xyz/@dlzv/109291071352945761",
"attributedTo": "https://mathstodon.xyz/users/dlzv",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mathstodon.xyz/users/dlzv/followers"
],
"sensitive": false,
"atomUri": "https://mathstodon.xyz/users/dlzv/statuses/109291071352945761",
"inReplyToAtomUri": "https://mathstodon.xyz/users/dlzv/statuses/109291070024045910",
"conversation": "tag:mathstodon.xyz,2022-11-05:objectId=28369321:objectType=Conversation",
"content": "<p>The advantage is that linear algebra operations on (sparse) matrices are much easier to optimize. In standard applications, BLAS libraries have demonstrated that optimized micro-kernels constitute a basis on which efficient implementations can be built.<br />But it would also be much more elegant in theory to describe a minimum spanning tree computation using linear algebra alone!<br />(2/n)</p>",
"contentMap": {
"en": "<p>The advantage is that linear algebra operations on (sparse) matrices are much easier to optimize. In standard applications, BLAS libraries have demonstrated that optimized micro-kernels constitute a basis on which efficient implementations can be built.<br />But it would also be much more elegant in theory to describe a minimum spanning tree computation using linear algebra alone!<br />(2/n)</p>"
},
"attachment": [],
"tag": [],
"replies": {
"id": "https://mathstodon.xyz/users/dlzv/statuses/109291071352945761/replies",
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"first": {
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"next": "https://mathstodon.xyz/users/dlzv/statuses/109291071352945761/replies?min_id=109291072504203277&page=true",
"partOf": "https://mathstodon.xyz/users/dlzv/statuses/109291071352945761/replies",
"items": [
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]
}
},
"likes": {
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"type": "Collection",
"totalItems": 2
},
"shares": {
"id": "https://mathstodon.xyz/users/dlzv/statuses/109291071352945761/shares",
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}
}