Deepgram vs Johnson & Johnson

Deepgram and Johnson & Johnson both appear on the Smoower Developer Ecosystem Index.

Deepgram (rank #63) holds a meaningful lead over Johnson & Johnson (rank #602) on the overall Smoower ecosystem score (59 vs 34). The gap of 25 points reflects composite signals across code, docs, community and reach.

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

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. Johnson & Johnson shows 168 stars across 48 public repos, 8 active in the last 90 days and 1 external contributors. The star gap on its own does not decide the comparison, but Deepgram's footprint is roughly 15.1x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

Deepgram is the stronger read for anyone weighting reach. Johnson & Johnson makes more sense for teams already using its adjacent tools. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.