Political Science
Social Sciences
Field Statistics
Total Projects: 57
Average Confidence:
81%
High Confidence (≥70%): 45
Medium Confidence (50-70%): 3
Low Confidence (<50%): 9
Field Keywords:
Common Packages:
Scientific Indicators:
Top Keywords from Projects
Related Fields
- Psychology (40 projects)
- Economics (154 projects)
- Sociology (147 projects)
Projects in Political Science (57)
GrainLearning 100% confidence
GrainLearning: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials - Published in JOSS (2024)
98%
OSMnx 100% confidence
OSMnx: A Python package to work with graph-theoretic OpenStreetMap street networks - Published in JOSS (2017)
100%
Leafmap 100% confidence
Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment - Published in JOSS (2021)
77%
PyGMI - a python package for geoscience modelling and interpretation 90% confidence
PyGMI - a python package for geoscience modelling and interpretation - Published in JOSS (2025)
98%
pyTCR 90% confidence
pyTCR: A tropical cyclone rainfall model for python - Published in JOSS (2025)
93%
AdOpT-NET0 90% confidence
AdOpT-NET0: A technology-focused Python package for the optimization of multi-energy systems - Published in JOSS (2025)
Also in: Sociology, Artificial Intelligence and Machine Learning93%
PyForestScan 90% confidence
PyForestScan: A Python library for calculating forest structural metrics from lidar point cloud data - Published in JOSS (2025)
95%
Emiproc 90% confidence
Emiproc: A Python package for emission inventory processing - Published in JOSS (2025)
98%
openBURST 90% confidence
openBURST: Real-time air surveillance simulation and analysis for active and passive sensors - Published in JOSS (2024)
95%
plasticparcels 90% confidence
plasticparcels: A python package for marine plastic dispersal simulations and parameterisation development using parcels - Published in JOSS (2024)
Also in: Engineering93%
MapReader 90% confidence
MapReader: Open software for the visual analysis of maps - Published in JOSS (2024)
100%
open-mastr 90% confidence
open-mastr: A Python Package to Download and Process the German Energy Registry Marktstammdatenregister - Published in JOSS (2024)
100%
superblockify 90% confidence
superblockify: A Python Package for Automated Generation, Visualization, and Analysis of Potential Superblocks in Cities - Published in JOSS (2024)
100%
A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA 90% confidence
A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA - Published in JOSS (2024)
Also in: Mathematics, Artificial Intelligence and Machine Learning98%
PAM 90% confidence
PAM: Population Activity Modeller - Published in JOSS (2024)
100%
autoStreamTree 90% confidence
autoStreamTree: Genomic variant data fitted to geospatial networks - Published in JOSS (2024)
93%
pydaymet 90% confidence
A part of HyRiver software stack for retrieving and post-processing climate data from the Daymet Webservice.
67%
GrIML 90% confidence
GrIML: A Python package for investigating Greenland's ice-marginal lakes under a changing climate - Published in JOSS (2025)
93%
DVMDOSTEM v0.8.3 90% confidence
DVMDOSTEM v0.8.3: a terrestrial ecosystem model designed to represent arctic, boreal and permafrost ecosystem dynamics - Published in JOSS (2025)
100%
The MarINvaders Toolkit 90% confidence
The MarINvaders Toolkit - Published in JOSS (2021)
89%
atlite 90% confidence
atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series - Published in JOSS (2021)
100%
pyveg 90% confidence
pyveg: A Python package for analysing the time evolution of patterned vegetation using Google Earth Engine - Published in JOSS (2020)
98%
geemap 90% confidence
geemap: A Python package for interactive mapping with Google Earth Engine - Published in JOSS (2020)
59%
EarthPy 90% confidence
EarthPy: A Python package that makes it easier to explore and plot raster and vector data using open source Python tools. - Published in JOSS (2019)
95%
Comet Time Series Visualizer 90% confidence
Comet Time Series Visualizer: CometTS - Published in JOSS (2019)
Also in: Mathematics93%
wvhxyuy 90% confidence
nothing to do
Also in: Computer Science, Artificial Intelligence and Machine Learning26%
allfed-integrated-model 90% confidence
Integrated model to calculate the effects of resilient foods in catastrophic events
46%
23%
26%
HySetter 90% confidence
HySetter: A Python Package for Reproducible Hydroclimate Data Subsetting over CONUS - Published in JOSS (2025)
93%
MetObs - a Python toolkit for using non-traditional meteorological observations 90% confidence
MetObs - a Python toolkit for using non-traditional meteorological observations - Published in JOSS (2024)
93%
Mobilkit 90% confidence
Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics - Published in JOSS (2024)
Also in: Mathematics, Artificial Intelligence and Machine Learning95%
fractopo 90% confidence
fractopo: A Python package for fracture network analysis - Published in JOSS (2023)
100%
elapid 90% confidence
elapid: Species distribution modeling tools for Python - Published in JOSS (2023)
98%
icepyx 90% confidence
icepyx: querying, obtaining, analyzing, and manipulating ICESat-2 datasets - Published in JOSS (2023)
100%
Water Systems Integrated Modelling framework, WSIMOD 90% confidence
Water Systems Integrated Modelling framework, WSIMOD: A Python package for integrated modelling of water quality and quantity across the water cycle - Published in JOSS (2023)
59%
HydroMT 90% confidence
HydroMT: Automated and reproducible model building and analysis - Published in JOSS (2023)
93%
GeoHexViz 90% confidence
GeoHexViz: A Python package for the visualizing hexagonally binned geospatial data - Published in JOSS (2023)
93%
tell 90% confidence
tell: a Python package to model future total electricity loads in the United States - Published in JOSS (2022)
Also in: Mathematics, Artificial Intelligence and Machine Learning98%
CESAR-P 90% confidence
CESAR-P: A dynamic urban building energy simulation tool - Published in JOSS (2022)
Also in: Mathematics93%
rabpro 90% confidence
rabpro: global watershed boundaries, river elevation profiles, and catchment statistics - Published in JOSS (2022)
100%
SEEDPOD Ground Risk 90% confidence
SEEDPOD Ground Risk: A Python application and library for Uncrewed Aerial Systems ground risk analysis and risk-aware path finding - Published in JOSS (2022)
95%
bmm 90% confidence
bmm: Bayesian Map-matching - Published in JOSS (2022)
Also in: Sociology, Mathematics95%
sandpyper 90% confidence
sandpyper: A Python package for UAV-SfM beach volumetric and behavioural analysis - Published in JOSS (2021)
93%
traffic, a toolbox for processing and analysing air traffic data 67% confidence
traffic, a toolbox for processing and analysing air traffic data - Published in JOSS (2019)
95%
TransBigData 67% confidence
TransBigData: A Python package for transportation spatio-temporal big data processing, analysis and visualization - Published in JOSS (2022)
93%
splot - visual analytics for spatial statistics 67% confidence
splot - visual analytics for spatial statistics - Published in JOSS (2020)
95%
spopt 43% confidence
spopt: a python package for solving spatial optimization problems in PySAL - Published in JOSS (2022)
95%
harmonize-wq 42% confidence
harmonize-wq: Standardize, clean and wrangle Water Quality Portal data into more analytic-ready formats - Published in JOSS (2024)
98%
PyHeatDemand - Processing Tool for Heat Demand Data 42% confidence
PyHeatDemand - Processing Tool for Heat Demand Data - Published in JOSS (2024)
98%
mmaqshiny v1.0 40% confidence
mmaqshiny v1.0: R-Shiny package to explore Air-Quality Mobile-Monitoring data - Published in JOSS (2020)
Also in: Economics93%
PETRARCH2 40% confidence
PETRARCH2: Another Event Coding Program - Published in JOSS (2017)
95%
MPTRAC 40% confidence
MPTRAC: A high-performance Lagrangian transport model for atmospheric air parcel dispersion - Published in JOSS (2025)
98%
spaghetti 39% confidence
spaghetti: spatial network analysis in PySAL - Published in JOSS (2021)
95%
diaphanous 39% confidence
Exploring the limits of social media transparency data
67%
GTFS Segments 39% confidence
GTFS Segments: A Fast and Efficient Library to Generate Bus Stop Spacings - Published in JOSS (2024)
100%