As a developer tools analyst, I've compared Project A (great-expectations/great_expectations) and Project B (risingwavelabs/risingwave) based on momentum, community size, and apparent use cases. Here's a detailed analysis for senior engineers: **Momentum**: Project B (risingwave) exhibits significantly higher recent momentum, garnering 90 stars in the last 30 days, compared to Project A's 6. This surge suggests risingwave is currently attracting more attention and interest from the developer community. In contrast, great_expectations' momentum, while still positive, is more subdued. **Community Size**: Project A has a larger established community, with 11,341 stars overall, indicating a broader, more mature user base. Project B's 8,873 stars suggest a sizable but somewhat smaller community, though its recent star acquisition rate may soon close this gap. **Apparent Use Cases**: - **Project A (great_expectations)** is tailored for data validation and expectation setting, implying its primary use in data quality assurance, testing, and pipeline integrity within batch processing or static data analysis workflows. - **Project B (risingwave)** focuses on real-time stream processing, low-latency serving, and Iceberg table management, positioning it for applications requiring immediate data processing, such as live analytics, IoT data handling, or financial transaction processing. Both projects cater to distinct needs within the data ecosystem, with great_expectations ensuring data reliability and risingwave enabling real-time data capabilities. Their differing focuses make them complementary rather than competing solutions.