AssemblyAI vs deepset

AssemblyAI (Advanced Speech-to-Text) and deepset (Building enterprise search systems powered by latest NLP & open-source.) both appear on the Smoower Developer Ecosystem Index.

deepset (rank #122) holds a modest lead over AssemblyAI (rank #401) on the overall Smoower ecosystem score (54 vs 41). The gap of 13 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), deepset is ahead of AssemblyAI. On education (docs, guides and learning material for developers), AssemblyAI is slightly ahead of deepset. On community (issue response, PR reviews and discussion health), deepset is ahead of AssemblyAI. On reach (how visible the ecosystem is beyond its own repos), deepset is ahead of AssemblyAI. On momentum (release cadence and how fast the ecosystem moves), deepset is 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. deepset shows 30,141 stars across 74 public repos, 17 active in the last 90 days and 171 external contributors. The star gap on its own does not decide the comparison, but deepset's footprint is roughly 29.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

AssemblyAI is the stronger read for anyone weighting education. deepset 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.