AssemblyAI vs Mage

AssemblyAI (Advanced Speech-to-Text) and Mage (Magical tools for data.) both appear on the Smoower Developer Ecosystem Index.

AssemblyAI (rank #401) holds a narrow lead over Mage (rank #485) on the overall Smoower ecosystem score (41 vs 38). The gap of 3 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), AssemblyAI is ahead of Mage. On education (docs, guides and learning material for developers), AssemblyAI is slightly ahead of Mage. On community (issue response, PR reviews and discussion health), AssemblyAI is slightly ahead of Mage. On reach (how visible the ecosystem is beyond its own repos), Mage is slightly 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. Mage shows 9,079 stars across 44 public repos, 8 active in the last 90 days and 22 external contributors. The star gap on its own does not decide the comparison, but Mage's footprint is roughly 8.9x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

AssemblyAI is the stronger read for anyone weighting code quality. Mage 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.