Overview

spacecost is the transportation stage of economicspace, my asteroid-mining profitability pipeline, split out as its own Python package because a launch price is useful to anyone costing a mission. Every row carries an inline citation and the year its figure refers to, so a stale price is visible rather than hidden. On top of the tables, the package derives what they imply: tank mass from propellant volume, blended bipropellant performance, and the cost of delivering a kilogram to the Moon or Mars stage by stage. It installs straight from GitHub and has a small command-line interface for ranking launchers and propellants.

Tables

Concept and retired rows are kept and marked, so a study can say what it excluded rather than silently not having it.

Reference tables
Table Rows Holds
Launch vehicles 76 $/kg to LEO, GTO and escape with a low/high band, payload, status, and who can buy it
Propellants 41 Vacuum Isp, density, price, storage class, derived tankage, thruster device
Delta-v segments 33 m/s and trip time per trajectory leg, 100 to 10,500 m/s
Operational costs 45 Per-year and per-kilogram mission costs with low/high bands
Storage systems 20 How a kilogram is held, across cargo, depot, propellant and energy
Environments 23 Solar flux, dark period, gravity and light time at each destination

Key highlights

What it does that a spreadsheet of prices does not.