If you're looking for a Deepnote alternative, Dataiku is a good option. It's an all-purpose platform designed to help you operationalize data for better business outcomes. With features like Generative AI application development, data preparation, machine learning, MLOps and heavy-duty collaboration tools, Dataiku is good for teams like AI and Machine Learning, Data Analytics and Enterprise AI. The software supports several programming languages and has a free version for up to 3 users, and you can try it for 14 days for free.
Another good option is Hex, an AI-augmented collaborative workspace designed to help data teams collaborate better. Hex has modular, notebook-based canvases for data exploration with SQL, Python, R and other tools. It's got tools to generate AI-boosted queries, write code, create visualizations and collaborate with others to give and receive feedback and review trusted data. Hex also supports more advanced techniques like data clustering and sentiment analysis, and it's got enterprise-level security controls, so it's a good option if you're worried about sensitive data.
Mode is another good option, a collaborative data platform that combines SQL, R, Python and visual analytics. It's good for ad hoc analysis, advanced analytics, interactive dashboards and self-service reporting, so data teams and business teams can get together, analyze data and share results. Mode has flexible pricing tiers, including a free individual analyst edition, so it's good for a broad range of users.
If you want to focus more specifically on AI development, check out Dataloop. The platform combines data curation, model management, pipeline orchestration and human feedback to speed up AI application development. It's designed to handle big quantities of unstructured data, and it's got tools for automated preprocessing and model deployment. Dataloop is designed to help teams collaborate and speed up development, so it's a good option for companies trying to boost their AI abilities.