DE-Sim
DE-Sim is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as NumPy, pandas, SciPy, and SQLAlchemy to build and simulate complex computational models. Similar to Simula, DE-Sim models are implemented by defining logical process objects which read the values of a set of shared variables and schedule events to modify their values at discrete instants in time.
Topics
Details
- License:
- MIT
- Maturity:
- Emerging
- Cost:
- Free of charge
- Tool Type:
- library
- Programming Languages:
- Python
- Added:
- 6/30/2020
- Last Updated:
- 9/23/2020
Operations
Documentation
Quick start guide
https://sandbox.karrlab.org/tree/de_simAPI documentation
https://docs.karrlab.org/de_simContributions policy
https://github.com/KarrLab/de_sim/blob/master/CONTRIBUTING.mdDownloads
- Container filehttps://hub.docker.com/r/karrlab/de_sim
- Software packagehttps://pypi.org/project/de-sim
- Source codehttps://github.com/KarrLab/de_sim/releases
- Test datahttps://github.com/KarrLab/de_sim/blob/master/tests/fixtures
- Test scripthttps://github.com/KarrLab/de_sim/blob/master/tests
Links
Repository
https://github.com/KarrLab/de_simIssue tracker
https://github.com/KarrLab/de_sim/issues