Mito

Mito is an AI-powered Jupyter Notebook extension designed to accelerate data analysis, automation, and reporting workflows for data professionals, analysts, and engineers. It integrates directly into existing Jupyter environments—including Jupyter Lab, JupyterHub, and other notebook-based setups—allowing users to leverage AI assistance without migrating to a separate platform. The core functionality revolves around an AI agent that understands the user’s data context, including cell content, kernel state, and notebook file formats, enabling it to generate accurate Python code for tasks such as data cleaning, transformation, visualization, and export. Users can convert Excel or CSV files into clean, reproducible Python scripts with a single command, dramatically reducing manual repetitive work. Mito also supports structured querying via SQL and provides native database connections, allowing analysts to pull data directly from relational databases (e.g., PostgreSQL, MySQL, Snowflake) and perform complex joins, aggregations, and filtering within the notebook. The platform offers built-in Streamlit app integration, so users can quickly turn analysis results into interactive dashboards or internal tools without needing separate front-end development. This is particularly useful for teams that need to share live data views with non-technical stakeholders. Mito runs entirely on the user’s own infrastructure—no data leaves the local or cloud environment—which addresses enterprise security and compliance requirements. It supports custom API keys for large language model providers such as Azure OpenAI, AWS Bedrock, LiteLLM, or any OpenAI-compatible endpoint, giving organizations control over model selection and data privacy. The tool is designed to work alongside existing Jupyter