{"action":"created","issue":{"url":"https://api.github.com/repos/rossant/ipycache/issues/28","labels_url":"https://api.github.com/repos/rossant/ipycache/issues/28/labels{/name}","comments_url":"https://api.github.com/repos/rossant/ipycache/issues/28/comments","events_url":"https://api.github.com/repos/rossant/ipycache/issues/28/events","html_url":"https://github.com/rossant/ipycache/issues/28","id":62469513,"number":28,"title":"Alternative caching backends","user":{"login":"dimatura","id":60116,"avatar_url":"https://avatars.githubusercontent.com/u/60116?v=3","gravatar_id":"","url":"https://api.github.com/users/dimatura","html_url":"https://github.com/dimatura","followers_url":"https://api.github.com/users/dimatura/followers","following_url":"https://api.github.com/users/dimatura/following{/other_user}","gists_url":"https://api.github.com/users/dimatura/gists{/gist_id}","starred_url":"https://api.github.com/users/dimatura/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dimatura/subscriptions","organizations_url":"https://api.github.com/users/dimatura/orgs","repos_url":"https://api.github.com/users/dimatura/repos","events_url":"https://api.github.com/users/dimatura/events{/privacy}","received_events_url":"https://api.github.com/users/dimatura/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/rossant/ipycache/labels/enhancement","name":"enhancement","color":"84b6eb"},{"url":"https://api.github.com/repos/rossant/ipycache/labels/question","name":"question","color":"cc317c"}],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":6,"created_at":"2015-03-17T17:51:16Z","updated_at":"2015-03-18T10:43:52Z","closed_at":null,"body":"Hi! ipycache is great, but one issue I've run into is that raw pickles are slow and big, specially for large arrays. In the past I've tried a bunch of alternatives (pickle+gzip, hdf5, etc). So I implemented a couple of these as alternative backends in ipycache here: https://github.com/dimatura/ipycache/tree/npyz. They all have tradeoffs, but I think overall something like this could be pretty useful overall. Any interest in a PR? I'd be willing to clean things up."},"comment":{"url":"https://api.github.com/repos/rossant/ipycache/issues/comments/82888607","html_url":"https://github.com/rossant/ipycache/issues/28#issuecomment-82888607","issue_url":"https://api.github.com/repos/rossant/ipycache/issues/28","id":82888607,"user":{"login":"rossant","id":1942359,"avatar_url":"https://avatars.githubusercontent.com/u/1942359?v=3","gravatar_id":"","url":"https://api.github.com/users/rossant","html_url":"https://github.com/rossant","followers_url":"https://api.github.com/users/rossant/followers","following_url":"https://api.github.com/users/rossant/following{/other_user}","gists_url":"https://api.github.com/users/rossant/gists{/gist_id}","starred_url":"https://api.github.com/users/rossant/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rossant/subscriptions","organizations_url":"https://api.github.com/users/rossant/orgs","repos_url":"https://api.github.com/users/rossant/repos","events_url":"https://api.github.com/users/rossant/events{/privacy}","received_events_url":"https://api.github.com/users/rossant/received_events","type":"User","site_admin":false},"created_at":"2015-03-18T10:43:52Z","updated_at":"2015-03-18T10:43:52Z","body":"LGTM"}}