Monte

Mission Analysis, Operations, and Navigation Toolkit Environment


Monte, a state-of-the-art astrodynamic Python library, is JPL's signature astrodynamic computing platform, supporting all phases of space mission development from early space design and analysis through flight navigation services. With over a decade of operational use on NASA’s most demanding deep space robotic missions, Monte provides a platform on which users can build their own custom aerospace tools. It supplies the basic astrodynamic infrastructure --- trajectory models, coordinate frames, high precision time, astrodynamic event searches, sensitivity analysis, numerical integrators, optimization, etc --- allowing you to focus on the problem at hand. All this capability comes with extensive hyperlinked documentation, from introductory tutorials to low level mathematical details.


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Monte Capabilities

Core Systems
Core Systems

Monte provides a core set of astrodynamic systems to serve as a platform for creating custom applications.


  • Astrodynamic data management
  • Trajectory and coordinate frame representation
  • Parameter partial derivatives
  • Numerical integration
Mission Design
Mission Design

Monte has an array of tools for trajectory design and space mission analysis and visualization.


  • Monte Cosmic trajectory optimization tool
  • SparQ 3D visualization library
  • Low-level optimization toolkit
  • Monte-Carlo framework
Flight Navigation
Flight Navigation

Monte has world class orbit determination and flight path control libraries.


  • UI navigation interface
  • Measurement processing system
  • UD / SRIF navigation filters
  • K-Matrix maneuver design




Monte Support




Monte is a product of the Mission Design and Navigation Section at the Jet Propulsion Laboratory, with sponsorship from NASA’s Multimission Ground System and Services (MGSS/AMMOS) program office. Monte is Caltech Proprietary.