ggml vs Reply

ggml (AI inference at the edge) and Reply (AI sales engagement for email, LinkedIn, SMS & calls. Open APIs, SDKs, and MCP server for developers building on Reply. Builders of Jason, the AI SDR.) both appear on the Smoower Developer Ecosystem Index.

ggml (rank #103) holds a meaningful lead over Reply (rank #662) on the overall Smoower ecosystem score (55 vs 32). The gap of 23 points reflects composite signals across code, docs, community and reach.

On code quality (the state of repositories, tests, releases and polish), ggml is ahead of Reply. On education (docs, guides and learning material for developers), ggml is slightly ahead of Reply. On community (issue response, PR reviews and discussion health), ggml is clearly ahead of Reply. On reach (how visible the ecosystem is beyond its own repos), ggml is clearly ahead of Reply. On momentum (release cadence and how fast the ecosystem moves), Reply is clearly ahead of ggml.

ggml carries 191,415 GitHub stars across 22 public repos, with 15 repositories active in the last 90 days and 308 external contributors on record. Reply shows 0 stars across 3 public repos, 2 active in the last 90 days and 0 external contributors.

ggml is the stronger read for anyone weighting reach. Reply 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.