diepvries
CueObserve
| diepvries | CueObserve | |
|---|---|---|
| 3 | 6 | |
| 124 | 205 | |
| 2.4% | 0.0% | |
| 5.4 | 0.0 | |
| 20 days ago | about 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
diepvries
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To those who have implemented a Data Vault (2.0) model: Would you do it again?
Regarding library support, totally agreed. We even open-sourced our own library for generating SQL statements. We currently only support Snowflake, but would like to support more backends in the future. If you're on dbt, there's always dbtvault.
- diepvries, a Python library to generate Data Vault SQL statements
- Diepvries – a Python library to generate Data Vault SQL statements
CueObserve
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[Project] Open-source Anomaly detection on SQL data
We are building CueObserve, an open source repo to run anomaly detection on data in your SQL data warehouses and databases. It currently supports BigQuery, RedShift, Snowflake, Postgres, MySQL and Druid. It is available at github.com/cuebook/cueobserve.
- CueObserve - Anomaly detection on SQL data warehouses and databases
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Show HN: CueObserve – Open-source Anomaly detection on SQL data
Hi HN, Sachin here with Ankit, Praveen, Vineet and Vikrant.
With CueObserve, you can run anomaly detection on business metric data in your SQL data warehouses and databases. CueObserve currently supports 6 data sources - BigQuery, RedShift, Snowflake, Postgres, MySQL and Druid.
CueObserve is open-source (https://github.com/cuebook/CueObserve). Docs are at https://cueobserve.cuebook.ai
Do give it a try and let us know. We’d love to hear your thoughts, feedback, and questions.
What are some alternatives?
jupysql - Better SQL in Jupyter. 📊
growthbook - Open Source Feature Flagging and A/B Testing Platform
dbd - dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.
ethereum-etl - Python 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
bigquery_fdw - BigQuery Foreign Data Wrapper for PostgreSQL
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
dbt-ml-preprocessing - A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.
luminol - Anomaly Detection and Correlation library