Built for Data Analysis
Connect, install what you need, and analyze.
Interactive Notebooks
Install JupyterLab with pandas, NumPy and the visualization libraries you use
SQL & Data Warehouses
Connect to Snowflake, BigQuery, Redshift, or run local PostgreSQL
Visualization Tools
Matplotlib, Plotly, Seaborn and Streamlit run on macOS
Large Dataset Support
Work through datasets with Polars or Dask on 16GB of unified memory and a 256GB SSD
BI Integration
Export to Tableau, Power BI, or build Streamlit dashboards
Fast Processing
Vectorised analytics with Polars and Apache Arrow on a 10-core Apple M4 CPU
Why Data Analysts Choose Orbit
Fast dataframe processing with Polars and Arrow
JupyterLab and VS Code on a full macOS desktop over AnyDesk
Install pandas, NumPy and scikit-learn with pip or conda
Connect to any cloud data warehouse
Persistent storage for datasets and notebooks
Full administrator control of your macOS environment