whatisgithub

What is knowledge-repo?

airbnb/knowledge-repo — explained in plain English

Analysis updated 2026-06-26

5,535PythonAudience · dataComplexity · 3/5Setup · moderate

In one sentence

A knowledge-sharing platform that Airbnb built so data scientists can publish Jupyter notebooks and R Markdown analyses to a searchable company-wide repository that colleagues can browse, search, and comment on.

Mindmap

mindmap
  root((Knowledge Repo))
    What it does
      Share analyses
      Browse knowledge base
      Team comments
    Tech Stack
      Python
      Jupyter
      R Markdown
    Use Cases
      Data science sharing
      Notebook publishing
      Org knowledge base
    Features
      GitHub sync
      Web editor
      Search and tags
      Reproducibility focus
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Code map

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What do people build with it?

USE CASE 1

Give data scientists a single searchable place to publish and share Jupyter notebook analyses instead of emailing files.

USE CASE 2

Let analysts submit R Markdown reports to a shared knowledge base that the whole organization can browse and comment on.

USE CASE 3

Connect a GitHub repository to automatically ingest new data analysis posts as team members push markdown files.

USE CASE 4

Replace scattered internal wikis with a platform that treats data analyses as versioned, searchable posts.

What is it built with?

PythonJupyterR Markdown

How does it compare?

airbnb/knowledge-repoazure/azure-sdk-for-pythonspiderclub/haipproxy
Stars5,5355,5375,537
LanguagePythonPythonPython
Setup difficultymoderatemoderatemoderate
Complexity3/53/53/5
Audiencedatadeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Setting up GitHub-connected ingestion requires repository access configuration, a hosted live version is available for teams who prefer not to self-host.

So what is it?

Knowledge Repo is a platform that Airbnb built so that data scientists and analysts can share their work with the rest of their organization. The problem it addresses is that data work often lives in personal notebooks or gets buried in emails and internal wikis, making it hard for colleagues to find, read, or build on what others have already figured out. The core idea is that data workers write their analyses in formats they already use, such as Jupyter notebooks or R Markdown files, and then submit those documents to a shared repository where others can browse, search, and comment on them. The platform treats these documents as posts in a knowledge base rather than raw files in a folder. Content can be submitted in two ways. One option connects to a GitHub repository and automatically picks up new or updated posts written in markdown. The other option is a built-in web editor where you can compose a post, upload a notebook file, or link to a Google Doc. Once published, posts can be updated, deleted, or commented on. The system is designed around reproducibility, meaning that analyses should include enough context for someone else to understand and re-run them. The project was open-sourced so that other organizations with similar knowledge-sharing problems could use or adapt it. Installation is done through pip and detailed setup instructions are available on the project's documentation site. A hosted live version is also available for teams who do not want to run their own instance.

Copy-paste prompts

Prompt 1
How do I install Knowledge Repo and configure it to automatically ingest Jupyter notebooks from a GitHub repository?
Prompt 2
Show me how to submit a new analysis post to Knowledge Repo using the built-in web editor and tag it for discoverability.
Prompt 3
How do I search and filter published analyses in Knowledge Repo to find all posts on a specific topic or by a specific author?
Prompt 4
How do I self-host Knowledge Repo for my team instead of using the managed hosted version, and what are the infrastructure requirements?

Frequently asked questions

What is knowledge-repo?

A knowledge-sharing platform that Airbnb built so data scientists can publish Jupyter notebooks and R Markdown analyses to a searchable company-wide repository that colleagues can browse, search, and comment on.

What language is knowledge-repo written in?

Mainly Python. The stack also includes Python, Jupyter, R Markdown.

How hard is knowledge-repo to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is knowledge-repo for?

Mainly data.

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