If you're looking for a tool that lets data scientists and non-technical stakeholders work together on data and machine learning projects, Hex is a good choice. It offers an AI-augmented collaborative workspace with data exploration, AI-assisted query generation and interactive reporting. Hex supports several programming languages and integrates with many data warehouses and databases, so you can use it for a variety of data analysis and visualization tasks. It has enterprise-level security and several pricing tiers, including a 14-day free trial for the Team tier.
Another good option is Dataiku, a platform designed to help businesses standardize the use of data for business outcomes. It has a number of features including data preparation, machine learning, MLOps and collaboration. Dataiku is designed for different teams and industries, and can be used to create, deploy and maintain machine learning models in a secure environment. It has a free edition for up to three users, a 14-day free trial, and several paid editions with different levels of collaboration and features.
Deepnote is another good option, with a collaborative data workspace with tools for Python, SQL and no-code interfaces. It can connect to many data sources and has features like interactive visualizations, AI-assisted code completion and real-time commenting for collaboration. Deepnote supports high-end GPU configurations and has strong security features like data encryption and role-based access control, so it's good for teams working with sensitive data.
If you're looking for a no-code option, check out DataChat. This interface lets people turn complex data into useful insights with a chat-like interface. It automates data preparation, exploration and modeling, and offers AI-generated answers to questions. DataChat is good for both technical and nontechnical people who need to make decisions quickly. It offers a 14-day free trial, and its pricing is flexible depending on your business needs.