Streamlit vs Custom Next.js UI for Internal AI Dashboards & Monitoring

We've been prototyping facial recognition tools and data pipelines using Streamlit because it is lightning fast to spin up for Python-heavy data science workflows. However, styling it to match a custom dark-mode brand can sometimes feel restrictive.

While Streamlit handles state management and data tables natively out of the box, building a custom full-stack Next.js interface with Tailwind CSS gives you absolute control over layout responsiveness, authentication barriers, and real-time WebSocket communication.

How are you handling internal tooling? Are you sticking with Python-native solutions like Streamlit or Gradio, or migrating your production operators over to React frontends backed by FastAPI endpoints?