pinterest/querybook
Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface. observed · 2026-08-28
Health v2 · maintenance only
67/100
- Activity 98
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2372
- days_rel: 499
- days_push: 13
- n_releases_24m: 1
Adoption not part of the score
2280 stars · 298 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Querybook is an open-source big data IDE from Pinterest that combines a collaborative notebook interface (DataDocs) with table metadata from a metastore. It lets users compose SQL queries with autocompletion, visualize results with charts, schedule recurring analyses, and share documentation across query engines like Presto, Hive, and Snowflake.
Use cases
- run ad-hoc SQL queries against Presto and Hive clusters
- build dashboards from scheduled notebook queries
- browse and document table metadata from a Hive metastore
- collaborate with teammates on shared query notebooks
- visualize query results as charts without leaving the tool
- track data lineage and frequent query patterns
- export query results to Google Sheets or S3
When to choose
- your team needs a self-hosted collaborative SQL notebook UI for big data engines
- you want table metadata, autocomplete, and lineage integrated with your metastore
- you need scheduled query reports with charting and Slack/email notifications
- you want a pluggable query interface supporting many engines via SQLAlchemy
When to avoid
- you only need a lightweight local SQL client for a single database
- you require a fully managed cloud BI product with no infrastructure to run
- your workflows are primarily non-SQL (e.g., Python-only analysis notebooks)
Facets
application · maturity active
search-engine data-visualization scheduling web-framework plugin-system developer-tools big-data data-science analytics databases self-hosted developer-tools self-hosted python sql-notebook query-editor hive-metastore presto datadoc collaboration data-lineage celery flask elasticsearch docker web-server nodejs
9 sources
- readme: https://github.com/pinterest/querybook · fetched 2026-08-28 · 23dd6eb69256
- homepage: https://www.querybook.org · fetched 2026-08-29 · f78990347d82
- site_page: https://www.querybook.org/docs · fetched 2026-08-29 · fa4c3bb1716f
- site_page: https://www.querybook.org/docs/setup_guide/quick_setup · fetched 2026-08-29 · 7fa6f395ad91
- site_page: https://www.querybook.org/docs/integrations/plugins · fetched 2026-08-29 · 385ea6e52d90
- site_page: https://www.querybook.org/docs/setup_guide/connect_to_query_engines · fetched 2026-08-29 · 6b45b6ee6634
- site_page: https://www.querybook.org/docs/setup_guide/deployment_guide · fetched 2026-08-29 · 1efbf8e7561d
- site_page: https://www.querybook.org/docs/developer_guide/developer_setup · fetched 2026-08-29 · 650bfed533b9
- site_page: https://www.querybook.org/docs/changelog · fetched 2026-08-29 · cebb56cd3aa3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pinterest/querybook | main | 67 |
For agents
markdown · JSON · MCP: product_card(name="pinterest/querybook")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem