If you're looking for a different alternative to Streamlit, Dash is well worth a look. It's a Python library for building interactive data apps that scale, with a focus on ease of use and rapid development. Dash supports one-click deployment and low-code development, and you can integrate AI and ML models, too. It's geared for data scientists and engineers. The company offers a scalable architecture that can be installed on any cloud VPC, and custom pricing for unlimited apps, including features like data product delivery and deployment.
Another good alternative is Onvo, an AI-boosted data visualization tool that makes it easier to create interactive charts and insights. You can connect to different data sources, create dashboards with AI prompts, and customize styling to match your brand. Onvo is good for startups and for enterprises, offering time savings, streamlined workflows and personalized analysis. It's a good option for interactive data visualization.
If you want a platform that's well integrated with AI and ML, Dataiku is a good choice. It covers a lot of data project territory, including generative AI, data prep, machine learning and MLOps. Dataiku has prepackaged solutions for different teams and industries, so you can build, deploy and operate machine learning models securely and efficiently. It's a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms.