databricks/dbt-databricks
A dbt adapter for Databricks.
- Stars
- 390
- Forks
- 231
- Language
- Python
- License
- Apache-2.0
- Last commit
- updated Nov 2026
Straight from GitHub
Nobody has written up this repo. Everything on this page comes straight from the GitHub API, so there is no founder write-up, no pros and cons, and no difficulty rating — rather than a generated guess at them.
Maintenance
Pushed within three months of the last stats read (as of Nov 6, 2026).
Licence
Apache-2.0
Tech stack
Primary language: Python. GitHub reports only the dominant language, so this is not the whole stack.
Install
No install command has been verified for this repo. Follow the README rather than a guess.
Quality score
Computed by the discovery import when this entry was added.
- Recent activity×0.30
- 1.00
How recently the default branch was pushed to.
- Adoption×0.20
- 0.55
Stars on a log scale, so adoption counts without dominating.
- Description and topics×0.15
- 1.00
Whether the repo describes itself: description, topics, homepage.
- README present×0.15
- 1.00
Whether the repository has a README at all.
- Licence clarity×0.10
- 1.00
Whether GitHub can resolve the licence to a recognised SPDX id.
- Issue health×0.10
- 0.40
Open issues relative to adoption, as a rough maintenance signal.
Similar repos
Same category, ranked by shared topics.
Scalable and efficient data transformation framework - backwards compatible with dbt.
3.3k starsPythonApache-2.0updated Nov 2026Productivity & AutomationData pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
6.6k starsGoMPL-2.0updated Nov 2026DatabasesFast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
3.3k starsGoAGPL-3.0updated Nov 2026Productivity & AutomationPython scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
3.1k starsPythonMITupdated Jan 2026Productivity & Automation
Stats updated Nov 6, 2026. Stars, forks, issue counts, and dates are a snapshot read from the GitHub REST API, not a live figure. This site makes no requests to GitHub when you load a page.