Sociology
Social Sciences
Field Statistics
Total Projects: 147
Average Confidence:
68%
High Confidence (≥70%): 76
Medium Confidence (50-70%): 29
Low Confidence (<50%): 42
Field Keywords:
Common Packages:
Scientific Indicators:
Top Keywords from Projects
Related Fields
- Psychology (40 projects)
- Economics (154 projects)
- Political Science (57 projects)
Projects in Sociology (147)
CSaransh 64% confidence
CSaransh : Software Suite to Study Molecular Dynamics Simulations of Collision Cascades - Published in JOSS (2019)
Also in: Artificial Intelligence and Machine Learning93%
rclip 64% confidence
AI-Powered Command-Line Photo Search Tool
44%
m4-sar 64% confidence
Also in: Mathematics, Artificial Intelligence and Machine Learning
54%
network.r2d3 64% confidence
44%
glycowork 64% confidence
Package for processing and analyzing glycans and their role in biology.
67%
mmdetection3d 41% confidence
Also in: Artificial Intelligence and Machine Learning
54%
pycellga 41% confidence
pycellga: A Python package for improved cellular genetic algorithms - Published in JOSS (2025)
98%
BiRank 40% confidence
BiRank: Fast and Flexible Ranking on Bipartite Networks with R and Python - Published in JOSS (2020)
Also in: Artificial Intelligence and Machine Learning95%
pyPLNmodels 40% confidence
pyPLNmodels: A Python package to analyze multivariate high-dimensional count data - Published in JOSS (2024)
Also in: Mathematics, Artificial Intelligence and Machine Learning49%
PressureDrop.jl 40% confidence
PressureDrop.jl: Pressure traverses and gas lift analysis for oil & gas wells - Published in JOSS (2019)
Also in: Engineering93%
EFAshiny 40% confidence
EFAshiny: An User-Friendly Shiny Application for Exploratory Factor Analysis - Published in JOSS (2018)
93%
Mordecai 40% confidence
Mordecai: Full Text Geoparsing and Event Geocoding - Published in JOSS (2017)
93%
PsychoPhysioPipeline 40% confidence
PsychoPhysioPipeline: A Processing and Analysis Pipeline for Psychophysiological Research - Published in JOSS (2016)
Also in: Psychology36%
TSInterpret 40% confidence
TSInterpret: A Python Package for the Interpretability of Time Series Classification - Published in JOSS (2023)
93%
sptotal 40% confidence
sptotal: an R package for predicting totals and weighted sums from spatial data - Published in JOSS (2023)
95%
Shiny tools for management rules 40% confidence
Shiny tools for management rules: interactive applications that aid in conservation strategies for North Atlantic right whales - Published in JOSS (2023)
95%
occupationMeasurement 40% confidence
occupationMeasurement: A Comprehensive Toolbox for Interactive Occupation Coding in Surveys - Published in JOSS (2023)
93%
mangrove 40% confidence
Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
41%
DPFEHM 40% confidence
DPFEHM: a differentiable subsurface physics simulator - Published in JOSS (2023)
95%
NeuroCAPs 40% confidence
NeuroCAPs: A Python Package for Performing Co-Activation Patterns Analyses on Resting-State and Task-Based fMRI Data - Published in JOSS (2025)
93%
pygwb 40% confidence
pygwb: a Python-based library for gravitational-wave background searches - Published in JOSS (2024)
95%
atems 40% confidence
atems: Analysis tools for TEM images of carbonaceous particles - Published in JOSS (2024)
95%
BGGM 40% confidence
BGGM: Bayesian Gaussian Graphical Models in R - Published in JOSS (2020)
93%
ocean_data_tools 40% confidence
ocean_data_tools: A MATLAB toolbox for interacting with bulk freely-available oceanographic data - Published in JOSS (2020)
95%
wildwing 40% confidence
Autonomous UAS Software for In Situ Imageomics Missions
75%
GGMnonreg 40% confidence
GGMnonreg: Non-Regularized Gaussian Graphical Models in R - Published in JOSS (2021)
93%
experDesign 40% confidence
experDesign: stratifying samples into batches with minimal bias - Published in JOSS (2021)
98%
Delve 40% confidence
Delve: Neural Network Feature Variance Analysis - Published in JOSS (2022)
98%
DataDepsGenerators.jl 40% confidence
DataDepsGenerators.jl: making reusing data easy by automatically generating DataDeps.jl registration code - Published in JOSS (2018)
95%
dit 40% confidence
dit: a Python package for discrete information theory - Published in JOSS (2018)
100%
CliquePercolation 38% confidence
CliquePercolation: An R Package for conducting and visualizing results of the clique percolation network community detection algorithm - Published in JOSS (2021)
95%
Ipyannotator 38% confidence
Ipyannotator: the infinitely hackable annotation framework - Published in JOSS (2022)
93%
Economiccomplexity 38% confidence
Economiccomplexity: Computational Methods for Economic Complexity - Published in JOSS (2020)
49%
automata 38% confidence
automata: A Python package for simulating and manipulating automata - Published in JOSS (2023)
100%
gcamfaostat 38% confidence
gcamfaostat: An R package to prepare, process, and synthesize FAOSTAT data for global agroeconomic and multisector dynamic modeling - Published in JOSS (2024)
98%
MyPTV 38% confidence
MyPTV: A Python Package for 3D Particle Tracking - Published in JOSS (2022)
93%
centerline-width 37% confidence
A Python package to find the centerline and width of rivers based on the latitude and longitude of the right and left bank
57%
partycls 35% confidence
partycls: A Python package for structural clustering - Published in JOSS (2021)
95%
StreamGen 35% confidence
StreamGen: a Python framework for generating streams of labeled data - Published in JOSS (2024)
98%
DAFSA 35% confidence
DAFSA: a Python library for Deterministic Acyclic Finite State Automata - Published in JOSS (2020)
95%
mcMST 35% confidence
mcMST: A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem - Published in JOSS (2017)
93%
OPSDN 35% confidence
OPSDN: an enhanced SDN simulation framework for OPNET Modeler - Published in JOSS (2023)
95%
cspy 35% confidence
cspy: A Python package with a collection of algorithms for the (Resource) Constrained Shortest Path problem - Published in JOSS (2020)
95%
VRPy 35% confidence
VRPy: A Python package for solving a range of vehicle routing problems with a column generation approach - Published in JOSS (2020)
93%
graphsim 31% confidence
graphsim: An R package for simulating gene expression data from graph structures of biological pathways - Published in JOSS (2020)
98%