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airbnb
knowledge-repo
Python2016–2021
airbnb / knowledge-repo · Archived

knowledge-repo

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

11Distinct people
12Mentions
1Explicit recommenders
5.5KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A next-generation curated knowledge sharing platform for data scientists and other technical professions.

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

We use AirBnB's Knowledge Repo project[1][2] for things like this at my company. I love the idea of making it easier to deploy things like this though. 1.…

haney used a recommendation phrase. One indexed comment matches. This is a phrase match, not a verdict.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year12 dated mentions

Observed mentions: 2016-09-27 22:03:27 UTC to 2021-03-06 04:43:58 UTC.

02462016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 6 mentions; 5 submissions, 1 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2021

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC651
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC422
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101

What Hacker News says

12 sources
This same exact thought has been bugging me for a long time. Over our startup (~30ish people), we've experimented on writing on confluence, didn't work. We've tried setting up the knowledge repo [0], it didn't scale much (probably because of our infrastructure). Currently we're dumping everything to tara.ai. What I have found is, it just hasn't worked so far in terms of discoverability and search. So far, GitLab wikis have been seamless. Archival is fine with them, but search and knowledge re-assessment has been not so easy. My ideal solution (of course, haven't done so far in our company) is to have Knowledge management system similar to Roam/Obsidian/Logseq/Athens/TiddlyWiki. But we haven't figured out any mechanisms to host Obsidian. I've been personally putting the knowledge to Roam/Obsidian graphs. Even if we figured out to host, pro
Read the rest
bably team collaboration would be pain in the ass. So far, we're dumping everything to tara.ai and GitLab wikis, hoping that someday we might be able to index these data and then combine everything for search. This also has been a topic with few of my friends for a long time now. Knowledge management at startup/corporate level is fragmented it seems. If we had tools to self-host networked-thoughts, it'd be great. [0] - https://github.com/airbnb/knowledge-repo
In Ask HN: How to write documentation for a medium size engineering org?
I completely agree. Almost all of this article appears to have little to do with being a Data Scientist in particular and more to do with some good practices for writing code in general. So the advice itself is fine, just not what I was hoping for based on the title. Reproducibility, like you say, however, is something that is an issue far more particular to data science, and worth more serious consideration and discussion. Hand-in-hand with that is shareability. I'm a fan of what airbnb has open sourced to address some of those issues in their knowledge repo project: https://github.com/airbnb/knowledge-repo
In Data science tips and tricks from the developer community

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