MINEO is the platform to explore your data, build, deploy and share data apps based on supercharged Python Notebooks powered by Code, No-code & AI.Get started for free 🚀
MINEO bridges the gap between data citizens and end users by providing an integrated, enterprise-grade platform for building data apps based on Python code, no-code, and AI.
From traditional scientific python notebooks to powerful dashboards and data pipelines, MINEO provides a production-ready environment for building and deploying your data apps.
Collaborate, build, deploy, and share your data apps.
All on the same platform.
Dashboard that uses pre-trained facial recognition models to demonstrate the capabilities of local models integrated into dashboards.
Dashboard using yahoo finance data that shows the evolution of nasdaq stock market.
MINEO integrates your data and code with all your databases and services, eliminating data silos and ensuring a seamless experience.See Integrations
Discover the innovative world of data apps, a transformative approach that goes beyond traditional BI platforms. This article explores how data apps integrate dynamic data analysis, interactive tools, and AI-driven insights to revolutionize the way we interact with data.
We explored image generation at MINEO, highlighting the potential of stable diffusion and emphasizing the ethical use of this technology.
Unveiling Custom Worker Images in MINEO Version 2023.10: Simplify package management and enhance reproducibility with easy-to-build Docker images, directly within MINEO.
Unlock the potential of AI in image generation with our upcoming webinar on October 24th at 19:00 CET. Hosted by MINEO, this online event is designed to guide you through the process of generating high-quality, photorealistic images using Stable Diffusion algorithms in Python Notebooks. Ideal for Data Scientists, AI/ML Researchers, and Software Engineers, this webinar offers hands-on experience, expert insights, and networking opportunities.
Dive into the latest features of MINEO's 2023.09 release. From a revamped assistant to dynamic widget enhancements, we're pushing the boundaries of data app development over python notebooks.