Developer ecosystem comparison
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OpenAI vs TopK

Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.

OpenAI and TopK (Pushing state of the art, one flamegraph at a time.) both appear on the Smoower Developer Ecosystem Index.

OpenAI (rank #30) holds a meaningful lead over TopK (rank #662) on the overall Smoower ecosystem score (65 vs 33). The gap of 32 points reflects composite signals across code, docs, community and reach.

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

OpenAI carries 854,110 GitHub stars across 268 public repos, with 47 repositories active in the last 90 days and 427 external contributors on record. TopK shows 98 stars across 15 public repos, 12 active in the last 90 days and 4 external contributors. The star gap on its own does not decide the comparison, but OpenAI's footprint is roughly 8715.4x larger, which usually shows up in downstream signals like inbound issues and third party integrations.

OpenAI is the stronger read for anyone weighting community. TopK makes more sense for teams already using its adjacent tools. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.

Side-by-side metrics

MetricOpenAITopK
Ranking
Overall rank#30#662
Pillars
Overall6533
Code5841
Education7062
Community7822
Reach5120
Momentum7438
Builder experience00
Signals
Stars854,11098
Forks138,6383
Public repos26815
Active repos (90d)4712
External contributors4274
Avg polish6034
Avg AI-readiness4843

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