Reverse Dependencies of graphviz

The following projects have a declared dependency on graphviz:

• rewire — A Streamlined Type-Based Dependency Injection Framework
• rfa-toolbox — A toolbox for analyzing the receptive field expansion in neural networks.
• rhizonet-package — Python package for RhizoNet-package
• ricochet — Simple Spring-inspired IoC framework for Python.
• riscvflow — A library for control flow graph analysis of RISC-V assembly
• RiskBERT — Generalized semantic regression with a BERT base.
• river-torch — Online Deep Learning for river
• rjj — rjj (read-joint-jet) is a simple cmd-based data analysis/transforming wizard
• rl-envs-forge — Environments for reinforcement learning
• RNAlysis — RNAlysis is an analysis software for RNA sequencing data. RNAlysis can help to filter, visualize, explore, analyze, and share your data.
• RNApolis — A Python library containing RNA-related bioinformatics functions and classes
• robingrad — Something between Tinygrad and Micrograd
• roentgen — A Python package for the quantitative analysis of the interaction of energetic x-rays with matter. This package is named after one of the discoverers of X-rays, Wilhelm Rontgen.
• roku-dev-cli — Roku Command-Line Tool
• rolling-pin — A library of generic tools for ETL work and visualization of JSON blobs and python repositories
• rosamllib — A library for reading and processing medical imaging files like DICOM, RTDOSE, RTSTRUCT, etc.
• roscribe — Translate natural language into robot software.
• rosmontis — Create graph images with help of graphviz module
• rovpp — Simulates ROV++
• rp2paths — 'retropath2.0 to pathways'
• rpaframework — A collection of tools and libraries for RPA
• rtofdata — Data model for the Refugee Transitions Outcomes Fund (RTOF)
• ruletree — Package description
• ruts — Russian Texts Statistics
• sagas — sagas ai stack
• sapsan — Sapsan project
• sardana — instrument control and data acquisition system
• sas-esppy — SAS Event Stream Processing Python Interface
• satori-serpentarium — Satori composer for Python
• sax4bpm — Open source Python library for deriving explanations about business processes based on process,causal and XAI perspectives
• sayn — Data-modelling and processing framework for automating Python and SQL tasks
• sbol-factory — Ontology-driven data modeling
• sbol-utilities — SBOL utilities
• sbol-utilities-for-pudu — SBOL utilities
• sc-echidna — Mapping genotype to phenotype through joint probabilistic modeling of single-cell gene expression and chromosomal copy number variation.
• sc3mylibrary — my library for project
• Scarlet-ltl — A package for learning LTL formulas from a sample consisting of traces partitioned into positive and negative
• scatrex — Map single-cell transcriptomes to copy number evolutionary trees.
• scdef — Extract hierarchical signatures of cell state from single-cell data.
• scdna-replication-tools — Code for analyzing single-cell replication dynamics
• scegot — single cell trajectory inference framework based on Entropic Gaussian mixture Optimal Transport
• schedula — Produce a plan that dispatches calls based on a graph of functions, satisfying data dependencies.
• schemadisplay-magic — Python package installation for ipython_magic_sqlalchemy_schemadisplay
• schematic-test — Package for data model and data ingress management
• schematicpy — Package for biomedical data model and metadata ingress management
• SciANN — A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks.
• SciANN-macos — A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks.
• scikick — Utility for executing collecitons of computational notebooks
• scikit-longitudinal — Scikit-longitudinal, an open-source Python lib for longitudinal data analysis, builds on Scikit-learn's foundation. It offers specialised tools to tackle challenges of repeated measures data, ideal for (med.) researchers, data scientists, & analysts.
• scikit-mine — Pattern mining in Python
• scikitty — A package to create Decision Trees like Scikitlearn.
• sciline — Build scientific pipelines for your data
• scip — Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image
• scipp — Multi-dimensional data arrays with labeled dimensions
• scorecardpipeline — 评分卡pipeline建模包，封装toad、scorecardpy、optbinning等评分卡建模相关组件，API风格与sklearn高度一致，自持自定义模型报告输出
• scpkit — This package helps consolidate service control policies in AWS
• scrapegraphai — A web scraping library based on LangChain which uses LLM and direct graph logic to create scraping pipelines.
• scrapegraphaisub — A first semantic versioned Scrapegraph fork by subzero team
• scrapemed — Data Scraping for PubMed Central.
• sdv — Generate synthetic data for single table, multi table and sequential data
• SE-lib — Systems Engineering Library (se-lib)
• seealgo — A Python library to visualize a data structure as it changes throughout a function
• sekupy — Detergent for your dirty neuroimaging pipelines
• seldonian-engine — Core library for Seldonian algorithms
• selinon — an advanced dynamic task flow management on top of Celery
• selinonlib — a simple tool to visualize, check and generate Python code from a YAML configuration file for Selinon dispatcher for Celery
• sema-toolchain — Python symbolic execution package
• semantic-link-sempy — Semantic link for Microsoft Fabric
• semiolog — Tools for the semiological analysis of corpora
• semirings — Semirings are a powerful abstraction for dynamic programming.
• semopy — Structural Equation Modeling optimization package.
• sesg — SeSG is a tool developed to help Systematic Literature Review researchers, specifically at the step of building a search string.
• sf-hamilton — Hamilton, the micro-framework for creating dataframes.
• sfctools — Framework for stock-flow consistent agent-based modeling, being developed at the German Aerospace Center (DLR) for and in the scientific context of energy systems analysis, however, it is widely applicable in other scientific fields.
• sgn — A framework to help navigate buffers through a graph. The buffers must flow.
• sha2dt-semantic-mapper — Module to create semantic links between learned SHA features and existing SKG entities
• shareloc — Simple geometry library
• shex-visualization — Visualize ShEx shapes
• shexviz — Visualize ShEx shapes
• showast — IPython notebook plugin for visualizing abstract syntax trees.
• ShowerModel — Modelling cosmic-ray showers, their light production and its detection
• showyourwork — A workflow for open-source scientific articles
• siat — Securities Investment Analysis Tools (siat)
• sierra-research — Automation framework for the scientific method in AI research
• siliconcompiler — A compiler framework that automates translation from source code to silicon.
• sim2bids — App to preprocess and convert simulation data
• Simba-UW-no-tf — Toolkit for computer classification of complex social behaviors in experimental animals
• Simba-UW-tf — Toolkit for computer classification of complex social behaviors in experimental animals
• Simba-UW-tf-dev — Toolkit for computer classification of complex social behaviors in experimental animals
• simmate — Simmate is a toolbox for computational materials research.
• simpgraph — Simple and minimal Python module for unordered graphs
• simphony-osp — Framework for creating interfaces between ontologies and software such as simulation engines, databases and data repositories.
• simple-graph-sqlite — A simple graph database in SQLite
• simpleSketch — Program Synthesis by Sketching
• simplex-assimilate — Perform Data Assimilation on the Simplex. Models an ensemble as a mixture of Dirichlet distributions.
• singletrader — a package for backtesting and factor analysis
• sintef-pyshop — Python interface to SHOP
• sirius — Simulation of Radio Interferometry from Unique Sources
• skg-connector — Module to extract and store data into an SKG
• skyplane — Skyplane efficiently transports data between cloud regions and providers.