Deepgram vs Qdrant

Deepgram and Qdrant (Creating advanced vector search technology) both appear on the Smoower Developer Ecosystem Index.

Qdrant (rank #5) holds a modest lead over Deepgram (rank #63) on the overall Smoower ecosystem score (71 vs 59). The gap of 12 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), Qdrant is slightly ahead of Deepgram. On education (docs, guides and learning material for developers), Qdrant is clearly ahead of Deepgram. On community (issue response, PR reviews and discussion health), Qdrant is ahead of Deepgram. On reach (how visible the ecosystem is beyond its own repos), Deepgram is clearly ahead of Qdrant. On momentum (release cadence and how fast the ecosystem moves), Qdrant is ahead of Deepgram.

Deepgram carries 2,538 GitHub stars across 115 public repos, with 47 repositories active in the last 90 days and 30 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 17.7x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Deepgram is the stronger read for anyone weighting reach. Qdrant looks better where education 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.