AssemblyAI vs LlamaIndex

AssemblyAI (Advanced Speech-to-Text) and LlamaIndex both appear on the Smoower Developer Ecosystem Index.

LlamaIndex (rank #63) holds a modest lead over AssemblyAI (rank #401) on the overall Smoower ecosystem score (59 vs 41). The gap of 18 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 AssemblyAI. On education (docs, guides and learning material for developers), AssemblyAI is slightly ahead of LlamaIndex. On community (issue response, PR reviews and discussion health), LlamaIndex is ahead of AssemblyAI. On reach (how visible the ecosystem is beyond its own repos), LlamaIndex is ahead of AssemblyAI. On momentum (release cadence and how fast the ecosystem moves), LlamaIndex is clearly ahead of AssemblyAI.

AssemblyAI carries 1,025 GitHub stars across 67 public repos, with 8 repositories active in the last 90 days and 11 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 97.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

AssemblyAI is the stronger read for anyone weighting education. 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.