deepset vs Reply

deepset (Building enterprise search systems powered by latest NLP & open-source.) 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.

deepset (rank #122) holds a meaningful lead over Reply (rank #662) on the overall Smoower ecosystem score (54 vs 32). The gap of 22 points reflects composite signals across code, docs, community and reach.

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

deepset carries 30,141 GitHub stars across 74 public repos, with 17 repositories active in the last 90 days and 171 external contributors on record. Reply shows 0 stars across 3 public repos, 2 active in the last 90 days and 0 external contributors.

deepset is the stronger read for anyone weighting community. 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.