Reverse Dependencies of python-igraph

The following projects have a declared dependency on python-igraph:

• pyntacle — A Python package for network analysis based on non-canonical metrics and HPC-Computing
• pynusmv-community — Tools to analyze and understand the community structure of BMC instances
• pyotter — Otter post-processing tool
• pypath-omnipath — Molecular signaling prior knowledge processing
• python-sap — Python Tree of Science package
• pythonabm — Framework for building Agent-Based Models (ABMs) in Python
• RCAEval — no summary
• rule-estimator — Scikit-learn compatible business rule estimator
• samba-metric — no summary
• sand — SAND: System Architecture as a Network of Dependencies
• SC-search — Single-cell search tool
• scbean — integration
• scCloud — scRNA-Seq analysis tools that scale to millions of cells
• scDiffusion — scDiffusion(Single-Cell graph neural Diffusion) is a physics-informed graph generative model to do scRNA-seq analysis. scDiffusion investigates cellular dynamics utilizing an attention-based neural network.
• scedar — Single-cell exploratory data analysis for RNA-Seq
• sceleto — Tool to aid in single cell analysis (temporary description)
• scFates — scanpy compatible python suite for fast tree inference and advanced pseudotime downstream analysis
• scgen — ScGen - Predicting single cell perturbations.
• scib — Evaluating single-cell data integration methods
• scikit-mobility — A toolbox for analyzing and processing mobility data.
• scpy4reactome — python service for single cell analysis in Reactome
• sctdl — no summary
• scToolsGW — convenience wrappers around common scanpy functions and workflows
• scUNAGI — A Python package for UNAGI
• scvi — Single-cell Variational Inference
• seekr — Count small kmer frequencies in nucleotide sequences.
• simpleppt — Python implementation of SimplePPT algorithm, with GPU acceleration
• snapatac2 — SnapATAC: Single Nucleus Analysis Pipeline for ATAC-seq
• snvis — Social network visualising tool
• SoSpCAT — Social-Spatial Community Assignment Test
• SPACEc — SPatial Analysis for CodEX data (SPACEc)
• SpaGCN — SpaGCN: Integrating gene expression and histology to identify spatial domains and spatially variable genes using graph convolutional networks
• spagtl — Spatially aligned Graph Transfer Learning
• spametric — Metric learning for Spatial transcriptomics
• sparcl — Relational Contrastive Learning for Spatial Transcriptomics
• spasrl — Spatially aware self-representation learning
• spateo-release — Spateo: multidimensional spatiotemporal modeling of single-cell spatial transcriptomics
• spatialtis — Ultra-fast spatial analysis toolkit for large-scale spatial single-cell data
• spinqit — SpinQ Quantum Software Development Kit
• spinqkit — SpinQ Quantum Software Development Kit
• sslouvain — ssLouvain extends the popular Louvain package.
• stClinic — stClinic for dissecting clinically relevant niches by integrating spatial multi-slice multi-omics data
• stellargraph — Python library for machine learning on graphs
• stellargraph-mvisani — Python library for machine learning on graphs
• stereoAlign — A toolkit package of data integration
• synthetic — Symbolic generators for complex networks
• taupy — A Python package to study the theory of dialectical structures
• tpdistance — Package to compute TP distances between nodes in a network.
• tpsimilarity — Package to compute TP similarities between nodes in a network.
• traffic-flow — Macroscopic transport modelling; forecasting traffic flows on roads
• TrimNN — TrimNN: an empowered bottom-up approach designed to estimate the prevalence of sizeable CC motifs in a triangulated cell graph
• twitterexplorer — A Python tool for interactive network visualizations of Twitter data.
• uglypty — UglyPTY - A PyQt6-based SSH, Serial Console, Mapping and Automation Tooling.
• vascpy — Vasculature API
• velovi — Estimation of RNA velocity with variational inference.
• VIPCCA — single cell integration
• wfgenes — Scientific workflow
• wikipedia-histories — A Python tool to pull the complete edit history of a Wikipedia page
• wwl — Wasserstein Weisfeiler-Lehman Graph Kernels
• xchk-core — Core functionality for the xchk teaching framework