Magical tools for data.
Mage vs Qdrant
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Mage (Magical tools for data.) and Qdrant (Creating advanced vector search technology) both appear on the Smoower Developer Ecosystem Index.
Qdrant (rank #5) holds a meaningful lead over Mage (rank #485) on the overall Smoower ecosystem score (71 vs 38). The gap of 33 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Qdrant is clearly ahead of Mage. On education (docs, guides and learning material for developers), Qdrant is ahead of Mage. On community (issue response, PR reviews and discussion health), Qdrant is clearly ahead of Mage. On reach (how visible the ecosystem is beyond its own repos), Qdrant is ahead of Mage. On momentum (release cadence and how fast the ecosystem moves), Qdrant is clearly ahead of Mage.
Mage carries 9,079 GitHub stars across 44 public repos, with 8 repositories active in the last 90 days and 22 external contributors on record. Qdrant shows 44,913 stars across 132 public repos, 89 active in the last 90 days and 99 external contributors. The star gap on its own does not decide the comparison, but Qdrant's footprint is roughly 4.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Mage is worth a look for teams already invested in its stack. Qdrant looks better where momentum is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.
Side-by-side metrics
| Metric | Mage | Qdrant |
|---|---|---|
| Ranking | ||
| Overall rank | #485 | #5 |
| Pillars | ||
| Overall | 38 | 71 |
| Code | 34 | 70 |
| Education | 71 | 86 |
| Community | 38 | 59 |
| Reach | 40 | 50 |
| Momentum | 16 | 66 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 9,079 | 44,913 |
| Forks | 1,538 | 4,409 |
| Public repos | 44 | 132 |
| Active repos (90d) | 8 | 89 |
| External contributors | 22 | 99 |
| Avg polish | 42 | 70 |
| Avg AI-readiness | 15 | 49 |