Reverse Dependencies of pydot
The following projects have a declared dependency on pydot:
- csaf-controls — Control Systems Analysis Framework
- CStrees — A Python library for CStrees.
- ctrl-bench — The Continual Transfer Learning Benchmark
- ctrl-benchmark — The Continual Transfer Learning Benchmark
- cubed — Bounded-memory serverless distributed N-dimensional array processing
- cwlkernel — CWL Jupyter Notebook Kernel
- cwltool — Common workflow language reference implementation
- darkhex — Set of tools to analyze and research the game Dark Hex.
- data-analysis — no summary
- databeakers — no summary
- dataheroes — DataHeroes - Build Better ML Models 10x Faster
- datajoint — A relational data pipeline framework.
- datajoint-gucky — A relational data pipeline framework.
- datalogd — A data logging daemon, easily customisable using a flexible plugin system.
- datasci-stdlib-tools — Utility functions for commonly used data science packages (numpy, pandas, etc) and generic python utility functions
- dbp — Simple program to manage gbp-docker container lifecycle.
- dc-qiskit-algorithms — General algorithms with qiskit as basis
- dd — Binary decision diagrams implemented in pure Python, as well as Cython wrappers of CUDD, Sylvan, and BuDDy.
- dear-ros-node-viewer — dear_ros_node_viewer
- DeepCellTL — Deep learning for single cell image segmentation
- deephyper — Scalable asynchronous neural architecture and hyperparameter search for deep neural networks.
- Deeplodocus — The Deep Learning framework keeping your head above water
- deepneuro — DeepNeuro: A deep learning python package for neuroimaging data.
- deeprob-kit — A Python Library for Deep Probabilistic Modeling
- DeepSaki — DeepSaki is an add-on to TensorFlow. It provides a variaty of custom classes ranging from activation functions to entire models, helper functions to facilitate connectiong to your, compute HW and many more!
- deepsardl — This is a main package for processeing data for DeepSAR
- deepsurvk — Implementation of DeepSurv using Keras
- delft — a Deep Learning Framework for Text
- dev-utilities — no summary
- dfa — Python library for modeling DFAs, Moore Machines, and Transition Systems.
- diagen — Technical diagram generator with autorouting on top of pydot and networkx
- diagrams_exporters — export the metadata from existing tools, and generate the diagrams
- dialogues — This package provides a unified interface to several dialogue benchmarks
- dilawar — Personal collection of utilities
- django-app-graphql — Some stuff that i used when developing with django
- django-cbim-general-service — Django app that every service implemented using DJango in CBIM should use
- django-graphene-authentication — A variant of djhango-graphql-jwt that can work with federations
- django-koldar-utils — Some stuff that i used when developing with django_toolbox
- dkist — DKIST User Tools
- dlg-home-content — model to identify tv sizes using images
- dll-diagnostics — Tools for diagnosing DLL dependency loading issues
- dm-robotics-agentflow — Tools for single-embodiment, multiple-task, Reinforcement Learning
- dmol-book — Style and Imports for dmol Book
- dmppl — Dave McEwan's Personal Python Library
- dmriprep — dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data.
- dotpruner — Pruning redundant nodes from DOT graphs
- dowhy — DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
- drawsbml — Draw Signalling Pathways (SBML) using graphviz
- dvc — Git for data scientists - manage your code and data together
- eddymotion — Pure python eddy-current and head-motion correction for dMRI, an extension of QSIprep's SHOREline algorithm (Cieslak, 2020) to multiple diffusion models.
- eDisGo — A python package for distribution network analysis and optimization
- edsl — Create and analyze LLM-based surveys
- emat — no summary
- erdiagram — Make diagrams for SQLAlchemy.
- ergo-ai — ergo is a tool that makes deep learning with Keras easier.
- ethpector — Ethpector extracts useful information from smart contracts.
- etl-pbshop — Create your ETL integrations easy and quick!
- eventdetector-ts — EventDetector introduces a universal event detection method for multivariate time series. Unlike traditional deep-learning methods, it's regression-based, requiring only reference events. The robust stacked ensemble, from Feed-Forward Neural Networks to Transformers, ensures accuracy by mitigating biases. The package supports practical implementation, excelling in detecting events with precision, validated across diverse domains.
- exasol-integration-test-docker-environment — Integration Test Docker Environment for Exasol
- exoml — ExoML tools for exoplanet detections
- ExperimentManager — A thoughtless and all-round experiment manager for Python
- ExpertOp4Grid — Expert analysis algorithm for solving overloads in a powergrid
- exploration — Tool for reading, formatting, and manipulating exploration graphs, which are graphs (or graph-sequences) that describe exploration of a game space, principally designed with Metroidvania games in mind.
- faber-bench — A graphical Faber interface.
- fastdot — A simple wrapper over `pydot` which fixes some sharp edges
- fastestimator — Deep learning framework
- fastestimator-nightly — Deep learning framework
- fastism — Fast In-silico Mutagenesis for Convolution-based Neural Networks
- fdi — Flexible Data Integrator
- fdr-beta — Sample fdr lib
- fdr-dev-1.0 — Sample fdr lib
- fdr-dev-1.1 — Sample fdr lib
- fdr-dev-1.2 — Sample fdr lib
- fdr-test — Sample fdr lib
- fdr-test2 — Sample fdr lib
- fdr-v1 — Sample fdr lib
- fdr-v2 — Sample fdr lib
- fdr-v3 — Sample fdr lib
- fdr-v4 — Sample fdr lib
- fdr-v5 — Sample fdr lib
- fdr-v6 — Sample fdr lib
- feature-forger — A feature building framework to extend with your common features and compute on demand.
- FeatureCloud — Secure Federated Learning Platform
- featurelayers — FeatureLayers Package
- fedot-example-test — Evolutionary structural learning framework FEDOT
- fetchai-ledger-api — Tools and utilities for interacting with the ledger on the fetch network
- fggs — Factor Graph Grammars in Python
- fib-ast — AST graph building for fibonacci function
- file-cache — Cache dataframe with local hd5 file, and reduce the memory by convert type for number
- flass — Train Keras Convolutional Neural Network for image classification
- flowlayer — Easily build your data processing workflows.
- fmrai — no summary
- fmridenoise — fMRIDenoise - automated denoising, denoising strategies comparison, and functional connectivity data quality control.
- fmriprep — A robust and easy-to-use pipeline for preprocessing of diverse fMRI data
- forsyde-io-python — Python supporting libraries for ForSyDe IO
- fpgaconvnet-model — Parser and model for Convolutional Neural Network Streaming-Based Accelerator on FPGA devices.
- framelink — no summary
- frat-brain — Application for ROI fMRI data analysis.
- galini — Mixed Integer Solver
- gaphor — Gaphor is the simple modeling tool written in Python.