As a developer tools analyst, I've compared Project A (amundsen-io/amundsen) and Project B (dagster-io/dagster) based on momentum, community size, and apparent use cases. Here's the analysis: In terms of momentum, dagster-io/dagster significantly outpaces amundsen-io/amundsen, with 133 new stars in the last 30 days compared to Amundsen's 7. This indicates a much stronger current interest and growth rate for Dagster. The overall star count also favors Dagster, with 15,152 stars versus Amundsen's 4,754, suggesting a substantially larger community. Regarding use cases, Amundsen is positioned as a metadata-driven application aimed at enhancing the productivity of data analysts, scientists, and engineers in their interactions with data. This implies its primary use is in data discovery, cataloging, and possibly governance. In contrast, Dagster is an orchestration platform focused on the development, production, and observation of data assets, indicating its use in workflow management, pipeline orchestration, and data pipeline reliability. The community size, as inferred from star counts and recent activity, is larger for Dagster, which may imply more extensive support, contributions, and potentially more robust documentation. Amundsen's smaller but still notable community suggests a more specialized tool that might be highly effective in its niche but less broadly applicable than Dagster. Engineers evaluating these projects should consider their specific needs: metadata management and data interaction productivity with Amundsen, versus data pipeline orchestration and asset management with Dagster.