Deepgram vs LlamaIndex
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Deepgram and LlamaIndex both appear on the Smoower Developer Ecosystem Index.
Deepgram and LlamaIndex sit at essentially the same overall ecosystem score (59), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Deepgram is slightly ahead of LlamaIndex. On education (docs, guides and learning material for developers), LlamaIndex is ahead of Deepgram. On community (issue response, PR reviews and discussion health), LlamaIndex is slightly ahead of Deepgram. On reach (how visible the ecosystem is beyond its own repos), Deepgram is clearly ahead of LlamaIndex. On momentum (release cadence and how fast the ecosystem moves), LlamaIndex 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. LlamaIndex shows 99,809 stars across 135 public repos, 48 active in the last 90 days and 241 external contributors. The star gap on its own does not decide the comparison, but LlamaIndex's footprint is roughly 39.3x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Deepgram is the stronger read for anyone weighting reach. LlamaIndex 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 | Deepgram | LlamaIndex |
|---|---|---|
| Ranking | ||
| Overall rank | #63 | #63 |
| Pillars | ||
| Overall | 59 | 59 |
| Code | 64 | 63 |
| Education | 59 | 69 |
| Community | 48 | 54 |
| Reach | 80 | 50 |
| Momentum | 46 | 62 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 2,538 | 99,809 |
| Forks | 697 | 14,240 |
| Public repos | 115 | 135 |
| Active repos (90d) | 47 | 48 |
| External contributors | 30 | 241 |
| Avg polish | 68 | 64 |
| Avg AI-readiness | 48 | 49 |