Deepgram vs Mage
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Deepgram and Mage (Magical tools for data.) both appear on the Smoower Developer Ecosystem Index.
Deepgram (rank #63) holds a meaningful lead over Mage (rank #485) on the overall Smoower ecosystem score (59 vs 38). The gap of 21 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Deepgram is clearly ahead of Mage. On education (docs, guides and learning material for developers), Mage is ahead of Deepgram. On community (issue response, PR reviews and discussion health), Deepgram is ahead of Mage. On reach (how visible the ecosystem is beyond its own repos), Deepgram is clearly ahead of Mage. On momentum (release cadence and how fast the ecosystem moves), Deepgram is clearly ahead of Mage.
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. Mage shows 9,079 stars across 44 public repos, 8 active in the last 90 days and 22 external contributors. The star gap on its own does not decide the comparison, but Mage's footprint is roughly 3.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Deepgram is the stronger read for anyone weighting reach. Mage 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.
Side-by-side metrics
| Metric | Deepgram | Mage |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #485 |
| Pillars | ||
| Overall | 59 | 38 |
| Code | 64 | 34 |
| Education | 59 | 71 |
| Community | 48 | 38 |
| Reach | 80 | 40 |
| Momentum | 46 | 16 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2,538 | 9,079 |
| Forks | 697 | 1,538 |
| Public repos | 115 | 44 |
| Active repos (90d) | 47 | 8 |
| External contributors | 30 | 22 |
| Avg polish | 68 | 42 |
| Avg AI-readiness | 48 | 15 |