Start with a data source, calculate results, or modify a model. For installation and the meaning of MARIO’s tables and matrices, follow Get started.

Guides explain a specific task. Worked examples connect tasks in a complete analysis. Download their companion notebooks when you want to run the code. The API reference documents each method’s parameters and return value.

Data sources

Choose a source, import its tables and understand its metadata.

• Environmentally-extended databases 11
• Other MRIO and SRIO databases 7
• Custom databases 4

Working with a database

Explore sets and matrices, find classification codes and export data.

• Inspect and query a database
• Work with clusters
• Classification concordances
• Export a database

Calculations and analysis

Calculate matrices, characterize emissions and interpret results.

• Calculate matrices
• Calculate greenhouse gas emissions
• GHG characterization and footprints
• and 4 more

Transformations and scenarios

Aggregate or convert a table, extend its accounts and build scenarios.

• Aggregate a database
• Aggregate by classification
• How classification groups are assigned
• and 7 more

Configuration

Choose computation settings and customize your Python session.

• Computation settings
• Customize names and aliases

Examples

Follow complete analyses with downloadable notebooks.

• Inspect BONSAI after import
• Compare GHG footprints across databases
• Trace a nickel supply chain
• Trace motor-vehicle supply chains

API reference

Look up signatures, parameters, returned values and equations.

• Parsing and Data Loading
• Downloads
• Inspection and Data Access
• and 7 more