Tensor search for humans.
Marqo vs LlamaIndex
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Marqo (Tensor search for humans.) and LlamaIndex both appear on the Smoower Developer Ecosystem Index.
LlamaIndex (rank #63) holds a modest lead over Marqo (rank #430) on the overall Smoower ecosystem score (59 vs 40). The gap of 19 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LlamaIndex is clearly ahead of Marqo. On education (docs, guides and learning material for developers), LlamaIndex is slightly ahead of Marqo. On community (issue response, PR reviews and discussion health), LlamaIndex is ahead of Marqo. On reach (how visible the ecosystem is beyond its own repos), LlamaIndex is ahead of Marqo. On momentum (release cadence and how fast the ecosystem moves), LlamaIndex is clearly ahead of Marqo.
Marqo carries 5,394 GitHub stars across 28 public repos, with 14 repositories active in the last 90 days and 4 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 18.5x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Marqo is worth a look for teams already invested in its stack. LlamaIndex looks better where code quality 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 | Marqo | LlamaIndex |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #63 |
| Pillars | ||
| Overall | 40 | 59 |
| Code | 41 | 63 |
| Education | 61 | 69 |
| Community | 39 | 54 |
| Reach | 36 | 50 |
| Momentum | 40 | 62 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 5,394 | 99,809 |
| Forks | 273 | 14,240 |
| Public repos | 28 | 135 |
| Active repos (90d) | 14 | 48 |
| External contributors | 4 | 241 |
| Avg polish | 45 | 64 |
| Avg AI-readiness | 35 | 49 |