Choosing a data pipeline tool means comparing different jobs—from change data capture and reverse ETL to ML pipelines and AI-assisted transformation—while also checking whether each project is actively maintained. This July 2026 comparison uses ToolVitals data on project health, shipping activity, licensing, openness, and GitHub popularity.

The ranking includes only open or source-visible tools. Tools are ordered first by ToolVitals score, with GitHub stars used as the secondary tie-breaker; stars provide a popularity signal but do not outweigh the broader ToolVitals score.

Rankings

Rank Tool Openness License Health Shipping GitHub Stars Score Status
1 CocoIndex OSI-approved OSS Apache-2.0 95 100 10759 98 🟢 Excellent
2 Debezium OSI-approved OSS Apache-2.0 93 95 12916 95 🟢 Excellent
3 MLRun OSI-approved OSS Apache-2.0 88 100 1685 95 🟢 Excellent
4 PRQL OSI-approved OSS Apache-2.0 78 75 10882 83 🟢 Excellent
5 Anyquery OSI-approved OSS AGPL-3.0 73 63 1733 76 🟢 Good
6 Multiwoven OSI-approved OSS AGPL-3.0 79 49 1662 73 🟢 Good
7 aisheets OSI-approved OSS Apache-2.0 67 39 1636 66 🟢 Good
8 DocETL OSI-approved OSS MIT 65 37 3890 64 🟢 Good
9 HRFlow OSI-approved OSS Apache-2.0 40 12 39 44 🟡 Fair
10 Orchest OSI-approved OSS Apache-2.0 31 0 4136 31 🔴 Needs Attention
11 Grouparoo OSI-approved OSS MIT 28 0 778 29 🔴 Needs Attention

Top 3 Highlights

CocoIndex ranks first with a ToolVitals score of 98, the highest in the group. Its 95 health score and 100 shipping score indicate strong current project activity, while 10,759 GitHub stars provide a substantial popularity signal. It is labeled OSI-approved OSS under Apache-2.0.

Debezium ranks second as a change data capture option for multiple databases. It has a ToolVitals score of 95, a 93 health score, a 95 shipping score, and 12,916 GitHub stars—the largest star count in this ranking. It is labeled OSI-approved OSS under Apache-2.0.

MLRun also scores 95 but ranks behind Debezium on the GitHub-stars tie-breaker, with 1,685 stars. Its 100 shipping score is paired with an 88 health score, and its scope covers continuous ML applications, production data, ML pipelines, and online applications. It is labeled OSI-approved OSS under Apache-2.0.

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