cube-js/cube
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest 1 day ago, with 375 contributors on GitHub.
Peaked at #32 in the weekly ranking the week of Mar 29, its best in the past year.
Use Cases & Benefits
- Provides an open-source semantic layer that enables AI, BI, and embedded analytics by organizing and delivering consistent data definitions from modern data stores.
- Offers intelligent caching, pre-aggregation, and robust access control to optimize query performance and secure data access across diverse applications.
- Use for building scalable, multidimensional OLAP-style analytics on cloud data warehouses like Snowflake or Google BigQuery.
- Use for embedding analytics and BI capabilities into custom applications with flexible REST, GraphQL, and SQL APIs.
- Use for implementing centralized data governance and consistent metric definitions across multiple analytics and visualization tools.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
Cube is the universal semantic layer for modern data applications. Born in the cloud era, Cube represents the next evolution of OLAP technology, helping data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application.
Learn more about connecting Cube to data sources and analytics & visualization tools.
Cube was designed to work with all SQL-enabled data sources, including cloud data warehouses like Snowflake or Google BigQuery, query engines like Presto or Amazon Athena, and application databases like Postgres. Cube has a built-in relational caching engine to provide sub-second latency and high concurrency for API requests.
For more details, see the introduction page in our documentation.
As data infrastructure evolved from traditional relational databases to cloud data platforms, OLAP capabilities that once lived in specialized servers like SQL Server Analysis Services and Oracle Essbase were left behind. Today's organizations face several challenges:
Cube is the missing OLAP engine for the cloud data platform era that provides the necessary infrastructure and features to implement efficient data modeling, access control, and performance optimizations without duplicating analytics modeling, data, or security permissions across different tools.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+572 stars over 87 days across 9 snapshot days; best day +5 on Aug 8.
Forks
2.2K+74
Open issues
1.2K+98
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| D4Vinci/Scrapling | 101.1K | +6.3K | 75 | 6 days ago |
| thedotmack/claude-mem | 115.8K | +4.7K | 75 | today |
| heygen-com/hyperframes | 82.3K | +4.0K | 75 | today |
| harry0703/MoneyPrinterTurbo | 142.0K | +3.8K | 75 | 3 days ago |
| github/spec-kit | 149.2K | +2.6K | 75 | today |
| cube-js/cube | 21.1K | — | 65 | 1 day ago |
| Category median | 115.8K | +4.0K | 75 | — |
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