Reverse Dependencies of python-louvain

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

• acore — A Python package with statistical functions to analyse multimodal molecular data
• APEC — Single cell epigenomic clustering based on accessibility pattern
• big-graph-dataset — A collection of graph datasets in torch_geometric format.
• bio-pyminer — PyMINEr: automated biologic insights from large datasets.
• biocomet — A brief description of the biocomet package
• bioneuralnet — A comprehensive framework for integrating multi-omics data with neural network embeddings.
• Blauwal3 — 蓝鲸，一个基于组件的数据挖掘框架。
• bnlearn — Python package for Causal Discovery by learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
• bunka-superfunctions — some functions often used to do diverse Data Science Projects
• cajal — A library for multi-modal cell morphology analyses using Gromov-Wasserstein (GW) distance.
• cap2 — CAP2
• cdlib — Community Discovery Library
• cityImage — A package for studying urban form and obtaining the computational Image of the City
• clumppling — Clumppling: cluster matching and permutation program with integer linear programming
• CNTools — A package for identifying cellular neighborhoods
• cohesive — Use sentence embeddings to create naturally coherent segments of text akin to paragraphs.
• commot — Cell-cell communications inference for spatial transcriptomics data via optimal transport.
• crim-intervals — CRIM intervals package
• d3graph — Python package to create interactive network based on d3js.
• DeepRank-GNN — Graph Neural network Scoring of protein-protein conformations
• deeprank2 — DeepRank2 is an open-source deep learning framework for data mining of protein-protein interfaces or single-residue missense variants.
• dhlab — Text and image analysis of the digital collection (books, newspapers, periodicals, and images) at the National Library of Norway
• dynetan — A Python implementation for Dynamical Network Analysis.
• emerge-viz — Visualize source code structure and dependencies in an interactive d3 application
• emoatlas — no summary
• Estar — no summary
• evoclusterstream — Evolutionary DBSCAN and Louvain Method with a Twitter data stream
• ExpoSeq — A pacakge which provides various ways to analyze NGS data from phage display campaigns
• featree — no summary
• flexynesis — A deep-learning based multi-omics bulk sequencing data integration suite with a focus on (pre-)clinical endpoint prediction.
• flowmachine — Digestion program for Call Detail Record (CDR) data.
• gilot — a git log visual analyzer
• graph-express — Python package for the analysis and visualization of network graphs.
• graph-measures — A python package for calculating topological graph features on cpu/gpu
• graphomaly — Anomaly detection in graphs modeling financial transactions and computer networks.
• graphpack — A Python tool to perform graph compression and visualization
• GraphRicciCurvature — Compute discrete Ricci curvatures and Ricci flow on NetworkX graphs.
• grnm — A comprehensive tool for gene regulatory network modeling.
• HAQC — A Heuristic Algorithm Framework for Quantum Algorithms
• harvesttext — no summary
• hnet — Graphical Hypergeometric Networks
• IMC — A package for processing and analysis of imaging mass cytometry (IMC) data.
• Kiwiii-server — HTTP API server library for chemical database administration and computation
• kolibri-ml — Deep Learning and more NLP toolkit
• langerhans — Analyzer for the calcium signals of Islets of Langerhans.
• linkpred — linkpred, a Python package for link prediction
• louvainsplit — Efficient graph partitioning using LouvainSplit algorithm
• macroscope — The macroscope command line interface
• MANAclust — Multi Affinity Network Association
• matchms-extras — Additional functionalities to be used with matchms
• matchmsextras — Additional functionalities to be used with matchms
• mdigest — Best practices made easy for analysis of correlated motions from molecular dynamics simulations.
• mediaviz — Visualize Networks With Force Atlas 2 Layout
• metagraph — Graph algorithm solver across multiple hardware backends
• mlprimitives — Pipelines and primitives for machine learning and data science.
• modularity-encoding — A package to group healthcode systems using network analysis modularity
• module-control — A Python package for network analysis including dominating sets and controllability.
• mstdbscan — An algorithm for space-time transmission clustering.
• musicntwrk — music as data, data as music
• nasap — This is nASAP setup file
• neochain — neochain - Network Evolution Observation for Blockchain
• nettracer3d — Scripts for intializing and analyzing networks from segmentations of three dimensional images.
• ng-ai — NebulaGraph AI Suite
• OmicsIntegrator — no summary
• omniplot — To draw scientific plots easily
• opsci-toolbox — a complete toolbox
• Orange3 — Orange, a component-based data mining framework.
• partition-networkx — Adds ensemble clustering (ecg) and graph-aware measures (gam) to networkx.
• phlowerpy — hodge decomposition trajectory
• planktonspace — A point process analysis package
• ppinet — A Python package for biological network generation and analysis.
• pyclics-clustering — clustering algorithms for CLICS networks
• pycoornet — Using Python Given a set of URLs, this packages detects coordinated link sharing behavior on social media and outputs the network of entities that performed such behaviour.
• pylipid — PyLipID - A Python Library For Lipid Interaction Analysis
• pyomo — Pyomo: Python Optimization Modeling Objects
• pyRDF2Vec — Python implementation and extension of RDF2Vec
• pyscnet — A tool for reconstructing and analyzing gene regulatory network from single-cell RNA-Seq data
• pysqlitekg2vec — Python implementation and extension of RDF2Vec
• pyvipr — Widget to visualize PySB models in Jupyter Notebook
• qbindiff — QBindiff binary diffing tool based on a Network Alignment problem
• QGCN — a qgcn model package
• quoter-model — A package for simulating the quoter model of information flow on networks
• refcliq — Community analysis in bibliographical references
• risk-network — A Python package for biological network analysis
• 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.
• scHiCPTR — An unsupervised pseudotime inference pipeline through dual graph refinement for single cell Hi-C data.
• scikit-multilearn-ng — Scikit-multilearn-ng is the follow up to scikit-multilearn, a BSD-licensed library for multi-label classification that is built on top of the well-known scikit-learn ecosystem.
• social-networks-graph-generator — CLI tool to generate a graph from a hashtag or expression
• SPACEc — SPatial Analysis for CodEX data (SPACEc)
• SpatialFormer — A single-cell foundation model focus on the spatial cell-cell colocalization
• storylinemapper — A library to generate networks of characters and timelines based on text
• stream-topic — A python package for expanded topic modeling and metrics
• Teneto — Temporal network tools
• tribe — An graph extraction tool for email MBox files
• tsia — A Python package for time series analysis through images
• tsm — Twitter Subgraph Manipulator (TSM)
• unpast — A novel method for unsupervised patient stratification.