Reverse Dependencies of graphviz
The following projects have a declared dependency on graphviz:
- dataclasses-collections — Limited implementation of the Python collections module using dataclasses
- datacode — High-level tools to analyze, summarize, and transform data
- dataflow-gegham-test — Snark Hub
- DataScienceHelpers — Helper modules for doing data cleaning, training, exploration, etc.
- datascribe — Useful tools to help you document and describe data processing and modelling
- DataStructureVisualiser — DSViz is a simple and intuitive Python interface to multiple packages in order to help visualise different data structres while coding them. This package is developed mainly for students or developers who are in the process of learning data structures.
- datawhys — DataWhys API wrapper
- dbgpt — DB-GPT is an experimental open-source project that uses localized GPT large models to interact with your data and environment. With this solution, you can be assured that there is no risk of data leakage, and your data is 100% private and secure.
- dbis-btree — RWTH Aachen Computer Science i5/dbis assets for Lecture Datenbanken und Informationssysteme
- dbis-er-diagram — RWTH Aachen Computer Science i5/dbis assets for Lecture Datenbanken und Informationssysteme
- dbis-tm — RWTH Aachen Computer Science i5/dbis assets for Lecture Datenbanken und Informationssysteme
- dbt-lineage — no summary
- DCM-CMM — no summary
- DCM2 — no summary
- ddf_utils — Commonly used functions/utilities for DDF file model.
- decaylanguage — A language to describe, manipulate and convert particle decays
- deep-river — Online Deep Learning for river
- deep-talk — DeepTalk: Python and Prolog based dialogue agent
- Deeplodocus — The Deep Learning framework keeping your head above water
- deepsardl — This is a main package for processeing data for DeepSAR
- DeepSR — A Toolkit for Super Resolution with Deep Learning Algorithms
- DeepSRRF — A framework for Obtaining and Automating Super Resolution for RF data with Deep Learning Algorithms
- deepsurvk — Implementation of DeepSurv using Keras
- dephell — Dependency resolution for Python
- deriva-catalog-manage — DERIVA catalog management utilities built on deriva-py.
- deriva-chisel — CHiSEL: schema evolution and model management for the DERIVA platform.
- derivationtree — An efficient derivation tree implementation for grammar fuzzing and other applications.
- description2process — Library for constructing a process model given the process description. Deep learning techniques are implmented as much as possible.
- detkit — Matrix determinant toolkit
- deva — data eval in future
- df-cereal — df_cereal - playing with dataframe serialization
- dff-node-stats — Statistics collection extension for Dialog Flow Framework (https://github.com/deepmipt/dialog_flow_framework).
- dfgcompare — Python dfgcompare Package
- dhgraph — Python Module for Directed Hypergraphs
- DHN — DHN (Dynamics of Hopfield Networks)
- dinjg — no summary
- discretize — Discretization tools for finite volume and inverse problems
- dispatches — GMLC DISPATCHES software tools
- distributed-discovery — A process mining library for distributed processes.
- django-ai — Artificial Intelligence for Django
- django-basin3d — BASIN-3D Django Web Framework
- django-fsm-ex — 一个基于 Django 有限状态管理工具库,基于 django-fsm 修改
- django-getpaid — Multi-broker payment processor for Django.
- django-migration-vis — Django management commands to visualize migration graphs
- dkist-sphinx-theme — The sphinx theme for the DKIST documentation.
- dmn_python — Python library enabling importing and exporting a DMN model (as an XML file) and visualizating it.
- dmppl — Dave McEwan's Personal Python Library
- dnndraw — An editor that visualizes neural networks
- doctalk — doctalk: Dialogue agent handling queries about a given text document
- doddle — doddle: Make Wordle A Doddle
- DomiKnowS — A library provides integration between Domain Knowledge and Deep Learning.
- dotnet-deptree — Generate dependency tree visualizations for .NET projects
- dovesnap — graphviz generator of dovesnap networks
- dp-cgans — A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Privacy techniques.
- dp-xgboost — DP-XGBoost Python Package from Sarus
- DPSDV — Creating a Differential Privacy securing Synthetic Data Generation for tabular, relational and time series data.
- DrawExcel — Tool that draws VBA structure of your MS Excel file.
- drawing — Python library for creating and manipulating graphs
- drlx — DRLX is a library for distributed training of diffusion models via RL
- dsdiagram — data structure diagram generator
- dslectures — Course materials for introductory data science
- dstree — A module for visualization of a nested python data structure
- dtreeviz — A Python 3 library for sci-kit learn, XGBoost, LightGBM, Spark, and TensorFlow decision tree visualization
- dug-test — Dug is a semantic searching and indexing software.
- dynamax — Dynamic State Space Models in JAX.
- e3lm — e3lm CLI tool (3lm language) for managing .3lm projects and files.
- easy-geppy — EasyGeppy is an easy to use programming interface for Geppy
- easygv — Define nodes and edges in an excel file and graph-style attributes in a yaml file with inheritence.
- easysim — A library for creating Gym environments with unified API to various physics simulators
- ebel — e(BE:L) - validation and extension of BEL networks.
- ebel-rest — e(BE:L) API client
- econml — This package contains several methods for calculating Conditional Average Treatment Effects
- eddytools — Event Data Discovery tool
- edu-airflow — Programmatically author, schedule and monitor data pipelines
- edxml — The EDXML Software Development Kit
- egglog — e-graphs in Python built around the the egglog rust library
- elabjournal — no summary
- electre-methods — Package with broad spectrum of elementary ELECTRE-based modules that can be joined together in many different combinations and used via a user-friendly Python library
- elfi — ELFI - Engine for Likelihood-free Inference
- eli5 — Debug machine learning classifiers and explain their predictions
- emdbg — Embedded Debug Tools
- emulsion — Epidemiological Multi-Level Simulation framework
- Energy4treeClassification — Enerrgy4TreeClassification is a module that offers functions that made decision tree classification using Logistic regression and visualize it
- enjoyn — Generate and animate images in parallel, enjoyably.
- ens-permissions — Add a short description here!
- entropylab — no summary
- eo-learn — Earth observation processing framework for machine learning in Python
- epct — Evolutionary approach to constructing PCT hierarchies
- episimlab — Framework for modular development of compartmental epidemic models
- epix — Electron and Photon Instructions generator for XENON
- equadratures — Polynomial approximations
- eradiate — A radiative transfer model for the Earth observation community
- ergo — Simple Microservice Development Framework
- essdiffraction — Diffraction data reduction for the European Spallation Source
- essnmx — Data reduction for NMX at the European Spallation Source.
- essreflectometry — Reflectometry data reduction for the European Spallation Source
- esssans — SANS data reduction for the European Spallation Source
- EtaML — An automated machine learning platform with a focus on explainability
- eth-permissions — Library and command line tool for auditing smart contract permissions
- eth-wake — Wake is a Python-based Solidity development and testing framework with built-in vulnerability detectors.