Psychology
Social Sciences
Field Statistics
Total Projects: 40
Average Confidence:
42%
High Confidence (≥70%): 0
Medium Confidence (50-70%): 4
Low Confidence (<50%): 36
Field Keywords:
Common Packages:
Scientific Indicators:
Top Keywords from Projects
Related Fields
- Economics (154 projects)
- Sociology (147 projects)
- Political Science (57 projects)
Projects in Psychology (40)
CoperniFUS 60% confidence
CoperniFUS: A flexible Python-based GUI for stereotaxic Focused UltraSound (FUS) experiment planning - Published in JOSS (2025)
93%
awesome-avd 60% confidence
A curated list of research resources in automated vulnerability detection (AVD)
Also in: Materials Science, Biology75%
covid19.analytics 60% confidence
covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the 2019 Coronavirus Disease Pandemic - Published in JOSS (2021)
95%
D3mirt 60% confidence
D3mirt: Descriptive Three-Dimensional Multidimensional Item Response Theory for R - Published in JOSS (2024)
Also in: Earth and Environmental Sciences93%
ProMCDA 40% confidence
ProMCDA: A Python package for Probabilistic Multi-Criteria Decision Analysis - Published in JOSS (2025)
Also in: Artificial Intelligence and Machine Learning93%
pathways 40% confidence
pathways: life cycle assessment of energy transition scenarios - Published in JOSS (2024)
95%
ASIMTools 40% confidence
ASIMTools: A lightweight framework for scalable and reproducible atomic simulations - Published in JOSS (2024)
67%
PyCVI 40% confidence
PyCVI: A Python package for internal Cluster Validity Indices, compatible with time-series data - Published in JOSS (2024)
93%
CoastSeg 40% confidence
CoastSeg: an accessible and extendable hub for satellite-derived-shoreline (SDS) detection and mapping - Published in JOSS (2024)
95%
AgriFoodPy 40% confidence
AgriFoodPy: a package for modelling food systems - Published in JOSS (2024)
95%
A Python Tool for Predicting and Assessing Unconventional Rare-Earth and Critical Mineral Resources 40% confidence
A Python Tool for Predicting and Assessing Unconventional Rare-Earth and Critical Mineral Resources - Published in JOSS (2023)
93%
shoredate 40% confidence
shoredate: An R package for shoreline dating coastal Stone Age sites - Published in JOSS (2023)
93%
CVtreeMLE 40% confidence
CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R - Published in JOSS (2023)
95%
OpenRepGrid.ic 40% confidence
OpenRepGrid.ic: A software for Interpretive Clustering - Published in JOSS (2023)
98%
MimiBRICK.jl 40% confidence
MimiBRICK.jl: A Julia package for the BRICK model for sea-level change in the Mimi integrated modeling framework - Published in JOSS (2022)
95%
SIMsalabim 40% confidence
SIMsalabim: An open-source drift-diffusion simulator for semiconductor devices - Published in JOSS (2022)
95%
rfasst 40% confidence
rfasst: An R tool to estimate air pollution impacts on health and agriculture - Published in JOSS (2022)
Also in: Engineering98%
PyVOLCANS 40% confidence
PyVOLCANS: A Python package to flexibly explore similarities and differences between volcanic systems - Published in JOSS (2021)
98%
COVID-19 Lung Segmentation 40% confidence
COVID-19 Lung Segmentation - Published in JOSS (2021)
95%
BetaML 40% confidence
BetaML: The Beta Machine Learning Toolkit, a self-contained repository of Machine Learning algorithms in Julia - Published in JOSS (2021)
95%
Simulating instrumental systematics of Cosmic Microwave Background experiments with s4cmb 40% confidence
Simulating instrumental systematics of Cosmic Microwave Background experiments with s4cmb - Published in JOSS (2021)
95%
OpenOA 40% confidence
OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms - Published in JOSS (2021)
Also in: Materials Science100%
HPX - The C++ Standard Library for Parallelism and Concurrency 40% confidence
HPX - The C++ Standard Library for Parallelism and Concurrency - Published in JOSS (2020)
100%
getTBinR 40% confidence
getTBinR: an R package for accessing and summarising the World Health Organisation Tuberculosis data - Published in JOSS (2019)
93%
Nostril 40% confidence
Nostril: A nonsense string evaluator written in Python - Published in JOSS (2018)
95%
Spiral 40% confidence
Spiral: splitters for identifiers in source code files - Published in JOSS (2018)
100%
ClimDown 40% confidence
ClimDown: Climate Downscaling in R - Published in JOSS (2018)
Also in: Agricultural and Biological Sciences, Engineering93%
PsychoPhysioPipeline 40% confidence
PsychoPhysioPipeline: A Processing and Analysis Pipeline for Psychophysiological Research - Published in JOSS (2016)
Also in: Sociology36%
PsychoPhysioCollector 40% confidence
PsychoPhysioCollector: A Smartphone-Based Data Collection App for Psychophysiological Research - Published in JOSS (2016)
36%
59%
258-textured-mesh-quality-assessment-large-scale-dataset-and-deep-learning-based-quality-metric 40% confidence
Also in: Engineering, Artificial Intelligence and Machine Learning
23%
pyquarc 40% confidence
The pyQuARC tool reads and evaluates metadata records with a focus on the consistency and robustness of the metadata. pyQuARC flags opportunities to improve or add to contextual metadata information in order to help the user connect to relevant data products. pyQuARC also ensures that information common to both the data product and the file-level metadata are consistent and compatible. pyQuARC frees up human evaluators to make more sophisticated assessments such as whether an abstract accurately describes the data and provides the correct contextual information. The base pyQuARC package assesses descriptive metadata used to catalog Earth observation data products and files. As open source software, pyQuARC can be adapted and customized by data providers to allow for quality checks that evolve with their needs, including checking metadata not covered in base package.
77%
ChemInformant 40% confidence
ChemInformant: A Robust and Workflow-Centric Python Client for High-Throughput PubChem Access - Published in JOSS (2025)
Also in: Engineering98%
blvim 40% confidence
Boltzmann–Lotka–Volterra Interaction Model
39%
anadrofish 40% confidence
anadrofish: Anadromous fish population responses to dams - Published in JOSS (2025)
100%
tempodisco 40% confidence
tempodisco: an R package for temporal discounting - Published in JOSS (2025)
Also in: Engineering98%
4DModeller 40% confidence
4DModeller: a spatio-temporal modelling package - Published in JOSS (2025)
95%