{"repo":"Liang-Team/Sequenzo","free":true,"listed":false,"github":"https://github.com/Liang-Team/Sequenzo","clone":"git clone https://github.com/Liang-Team/Sequenzo.git","description":"A fast, scalable, and intuitive Python package in sequence analysis.","language":"Jupyter Notebook","stars":37,"topics":["data-science","data-visualization","python","sequence","cluster-analysis","social-science","unsupervised-machine-learning","categorical-data","longitudinal-studies","time"],"license":"BSD-3-Clause","category":"analytics","readme_excerpt":"Sequenzo: Fast, scalable, and intuitive social sequence analysis in Python Sequenzo is a high-performance Python package designed for social sequence analysis. Its methodological foundations build upon prior work in the R ecosystem, especially the TraMineR (Gabadinho et al. 2011) R package, which established many of the core concepts, representations, and analytical tools in sequence analysis, as well as subsequent methodological extensions developed within TraMineRextras (Gabadinho et al. 2021). Sequenzo also draws inspiration from WeightedCluster (Studer, 2013) for typology construction, seqHMM (Helske & Helske, 2019) for probabilistic modeling using hidden Markov models, and ggseqplot (Raab, 2022) for the design of relative frequency sequence visualizations (Fasang & Liao, 2013). We gratefully acknowledge these pioneering contributions and the broader community in social sequence analysis whose work enables everything we do. Sequenzo seeks to expand the social sequence analysis ecosystem by connecting long-standing methodological traditions with the computational practices of the Python data science community, particularly in machine learning and deep learning. --- Sequenzo is built to analyze any sequence of categorical events , from individual career paths and migration patterns to corporate growth and urban development. Whether you are working with people, places, or policies , Sequenzo helps uncover meaningful patterns efficiently. Sequenzo outperforms traditional R-ba","default_branch":null,"files":null,"tree":[],"storefront":"/r/Liang-Team","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Liang-Team/Sequenzo/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}