As AI models get more collaborative in 2025, solid API documentation tools are essential for sharing endpoints on Spaces or Inference APIs. Stoplight’s maintenance mode is leaving gaps for dynamic docs especially with OpenAPI specs evolving fast. I’ve rounded up the top Stoplight alternatives that excel in AI workflows, prioritizing ease for ML teams and SEO-friendly rendering.
Quick picks from my tests with Hugging Face repos:
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Bump.sh: Super fast setup for auto-updating docs from Git—great for versioning model APIs without the hassle.
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Scalar: Open-source gem for interactive OpenAPI explorers; shines in embedding live demos for your Transformers pipelines.
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Postman: Reliable for collaborative collections, though it leans more testing than pure docs.
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Redocly: Strong linting and customization for compliant, beautiful API references in ML projects.
After integrating these with real Hugging Face endpoints, Apidog stands out as my number one choice. Its AI-powered mocking and auto-generated docs adapt seamlessly to model schemas, making it a breeze for team reviews and public sharing plus, offline editing keeps things snappy during experiments.
What’s your go-to for Stoplight swaps in AI API docs? Drop links or tips let’s level up our 2025 stacks!