PolyAI vs LlamaIndex
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
PolyAI and LlamaIndex both appear on the Smoower Developer Ecosystem Index.
LlamaIndex (rank #63) holds a modest lead over PolyAI (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 ahead of PolyAI. On education (docs, guides and learning material for developers), PolyAI is slightly ahead of LlamaIndex. On community (issue response, PR reviews and discussion health), LlamaIndex is ahead of PolyAI. On reach (how visible the ecosystem is beyond its own repos), LlamaIndex is clearly ahead of PolyAI. On momentum (release cadence and how fast the ecosystem moves), LlamaIndex is slightly ahead of PolyAI.
PolyAI carries 86 GitHub stars across 6 public repos, with 6 repositories active in the last 90 days and 19 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 1160.6x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
PolyAI is the stronger read for anyone weighting education. LlamaIndex looks better where reach 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 | PolyAI | LlamaIndex |
|---|---|---|
| Ranking | ||
| Overall rank | #430 | #63 |
| Pillars | ||
| Overall | 40 | 59 |
| Code | 47 | 63 |
| Education | 71 | 69 |
| Community | 38 | 54 |
| Reach | 16 | 50 |
| Momentum | 60 | 62 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 86 | 99,809 |
| Forks | 15 | 14,240 |
| Public repos | 6 | 135 |
| Active repos (90d) | 6 | 48 |
| External contributors | 19 | 241 |
| Avg polish | 46 | 64 |
| Avg AI-readiness | 53 | 49 |