ankane/blazer

Blazer is a self-service analytics engine that enables users to run SQL queries, build interactive dashboards, and monitor data quality through automated checks. The system supports a wide variety of data sources, including cloud warehouses and NoSQL databases, and provides features for data uploads, anomaly detection, and forecasting. It also facilitates data quality monitoring by sending notifications when checks fail or status changes occur.

The codebase underwent a major architectural refactor to support a modular design, introducing first-class models for checks, dashboards, and uploads. This period also expanded data source compatibility, added anomaly detection and forecasting capabilities, and modernized the UI and asset pipeline integration.

13 changes

The project introduced a comprehensive management interface for data quality checks and dashboards, complete with email notifications and a dynamic variable selection UI. Concurrently, the codebase was refactored to support a wide array of new database and API adapters, significantly expanding the range of connectable data sources.

7 changes

This period focused on adding new functionality, specifically the ability to upload CSV files to create database tables, alongside comprehensive integration and unit tests for core features. The team also established robust testing infrastructure for a wide variety of database adapters and ensured compatibility with newer Rails versions.

6 changes

ankane/blazer was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point the surveyor at a repository you know and see whether you agree with it.