Reverse Dependencies of python-igraph

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

• ads2gephi — A command line tool for querying and modeling citation networks from the Astrophysical Data System (ADS) in a format compatible with Gephi
• aleph — ALEPH is a bioinformatics tool for structure interpretation and generation of fragment-based library for Molecular Replacement.
• angel-cd — Community Discovery algorithm
• angelcommunity — Community Discovery algorithm
• arcimboldo — a suite of programs for x-ray diffraction structure solution
• BayNet — (another) Python Bayesian Network library
• besca — Collection of BEDA internal python functions for analysing single cell RNAseq data.
• causal-inference — Causal Inference
• causal-lasso — Causal Lasso
• causaleffect — Computing causal effects
• cdlib — Community Discovery Library
• Cell-BLAST — Single-cell transcriptome querying tool
• cell2location — cell2location: High-throughput spatial mapping of cell types
• CellSNAP — A package for enhancing single-cell population delineation by integrating cross-domain information.
• champ — Modularity based networks partition selection tool
• clusim — Clustering simliarity
• coincidencetest — An exact test for coincidence of feature values along a sample set.
• commot — Cell-cell communications inference for spatial transcriptomics data via optimal transport.
• comod — Compartmental modelling Python package
• ConfigModel-MCMC — A tool for sampling networks from the Configuration model
• constclust — no summary
• convexgating — ConvexGating is a Python tool to infer optimal gating strategies for flow cytometry and cyTOF data.
• corankco — Kemeny-Young method for rank aggregation of incomplete rankings with ties
• COSCST — Single-cell RNA sequencing data excels in providing high sequencing depth and precision at the single-cell level, but lacks spatial information. Simultaneously, spatial transcriptomics technology visualizes gene expression patterns in their spatial context but has low resolution. Here, we present COSCST that combines these two datasets through autoencoder and supervised learning model to map single-cell RNA-seq data with spatial coordination and spatial transcriptomics with precise cell type annotation.
• cropmetapop — The crop metapopulation modelisation software
• cso-classifier — A light-weight Python app for classifying scientific documents with the topics from the Computer Science Ontology (https://cso.kmi.open.ac.uk/home).
• cstreet — CStreet is a python script (python 3.6, 3.7 or 3.8) for cell state trajectory construction by using k-nearest neighbors graph algorithm for time-series single-cell RNA-seq data.
• ctns — CTNS, Contact Tracing Network Simulator: a tool to simulate contact tracing in a population where a disease is spreading
• derep-genomes — A simple genome de-replication tool with fastANI
• desc — Deep Embedded Single-cell RNA-seq Clustering
• descartes-rpa — descartes_rpa: Extract pathway features from Single-Cell
• diomindmap — Create Draw.io mind map diagrams with indented text files.
• divexplorer — Analyze Pandas dataframes, and other tabular data (csv), to find subgroups of data with properties that diverge from those of the overall dataset
• dynsimf — Dynamic Network Simulation Framework
• edgeprediction — Predict missing edges in a knowledge graph
• elpigraph-python — no summary
• EnergyFlow — Python package for the Energy Flow suite of particle physics tools
• evolocity — Evolutionary velocity with protein language models
• fa2 — The fastest ForceAtlas2 algorithm for Python (and NetworkX)
• fa2-modified — The fastest ForceAtlas2 algorithm for Python (and NetworkX)
• famegui — Graphical user interface to the FAME modelling framework
• flattableanalysis — Architectural analysis of a flat table. Discovering data from technical point of view.
• genonets — Framework for creating and analyzing genotype networks from.
• geospace-st — GeoSpace method for identifying multiscale structure in spatial transcriptomic data
• graph-express — Python package for the analysis and visualization of network graphs.
• graph-ltpl — Multilayer graph-based local trajectory planner.
• graphbin2 — GraphBin2: Refined and Overlapped Binning of Metagenomic Contigs Using Assembly Graphs
• graphtools — graphtools
• GroupTesting — Group testing for SARS-CoV-2 in large populations.
• guiltytargets — A tool for ranking potential targets for a given disease
• hichub — Comprehensive Network Analysis for HiC
• hiconet — Hierachical Community Network, data driven omics integration
• hotviz — A visulizations lib for python
• hybridq — Hybrid Simulator for Quantum Circuits
• hypercluster — A package for automatic clustering hyperparameter optmization
• influ — Who influences whom in social network - an application for finding key nodes
• jackdaw — Gathering shiny things from your domain
• kmapper — Python implementation of Mapper algorithm for Topological Data Analysis.
• lantsa — Landmark-based transferable subspace analysis for single-cell and spatial transcriptomics
• lexedata — Tools to edit lexical data in CLDF, and transform it to and from other well-known formats.
• lineagesim — Model for the publication 'Competition Between Continuously Evolving Lineages in Asexual Populations'
• lookout-style — Machine learning-based assisted code review - code style analyzers.
• louvain-github — Forked from louvain-igraph (https://github.com/vtraag/louvain-igraph). Publish because its PyPI version is out-of-date, whereas our scCloud package depends on this github repo version. Will remove if a new release is published.
• manifold-plotter — Manifold Plotter
• md-pro — Markov Decision Process
• metacells — Single-cell RNA Sequencing Analysis
• metadsl — Library to help create DSLs in Python.
• METIforST — METI: Deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics
• mitoscripts — To assist in quantifying mitochondrial morphology
• modbp — This is a community detection package that used a belief propagation approach to optimize modularity on multilayer networks. Algorithm is implemented in c++ with python interface for convenience.
• mOTUlizer — making OTUs from genomes, and stats on them. and even core-genomes
• mplex-image — A python3-based image analysis package to achieve fully-documented and reproducible visualization and analysis of bio-medical microscopy images.
• mrvi — Multi-resolution analysis of single-cell data.
• multigrate — Multigrate: multimodal data integration for single-cell genomics.
• N2G — Need To Graph
• naga-gwas — Network Assisted Genomic Association
• ndlib — Network Diffusion Library
• netdispatch — Network Dispatcher
• network-extensions — Managing multilayer graphs with igraph
• ngram-graphs — An igraph or networkx based ngram graph library for NLP
• ngs-toolkit — A toolkit for NGS analysis with Python.
• nismod-snail — The spatial networks impact assessment library
• nrl — Network representation learning in Python
• paper-network — Gibbs Sampler and other functions for PAPER (Preferential Attachment Plus Erdos--Renyi) model for random networks
• parvusdb — A lightweight in-memory graph database
• pathcensus — Structural similarity and complementarity coefficients for undirected networks based on efficient counting
• pcalf — Search calcyanin in a set of amino acid sequences
• pcreode — p-Creode algorithm for mapping state transitions
• ppi-network-annotation — Library for annotating a protein protein interaction network with differential
• pyclics — creating colexification networks from lexical data
• pyGATB — An experimental python wrapper for gatb-core
• pygpso — Bayesian optimisation method leveraging Gaussian Processes surrogate
• pyintergraph — Convert Python-Graph-Objects between networkx, python-igraph and graph-tools.
• pyliger — The Python version of LIGER package.
• 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