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  "path": "/t/2026-update-postman-free-plan-limits-and-alternatives/175404#post_1",
  "publishedAt": "2026-04-20T08:41:33.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "Hey everyone,\n\nI’ve been rethinking some of my tooling recently, especially around API testing and how it fits into modern ML/AI workflows.\n\nOne thing I noticed again is how the **Postman free plan** has evolved over time. The limitations (especially around collaboration) aren’t new, but they do make it harder to use in small team setups or when you’re working across multiple services.\n\nFor simple API testing it still works fine, but once your workflow involves things like:\n\n  * model inference APIs\n\n  * data pipelines\n\n  * multi-service architectures\n\n  * or integrating with ML endpoints\n\n\n\n\n…it starts to feel less flexible unless you move to a paid tier.\n\nSo I’ve been exploring alternatives that might fit better with more “AI-native” workflows:\n\n  * OpenAPI + Git-based approaches for versioning endpoints\n\n  * lightweight tools like Bruno or Insomnia for local testing\n\n  * more integrated platforms that combine design, testing, and collaboration\n\n\n\n\nI also tried a couple of newer tools like Apidog, which felt closer to an all-in-one workflow (design + testing + collaboration in one place), but I’m still not sure how it holds up for more complex ML pipelines.\n\nCurious what others here are using in 2026.\n\nAre you still using Postman in your ML / API workflows, or have you moved to something more lightweight or infra-friendly?\n\nWould be great to hear what actually works in practice, especially for model serving and API-heavy setups.",
  "title": "2026 update: Postman free plan limits and alternatives?"
}