Reverse Dependencies of pydot

The following projects have a declared dependency on pydot:

• lookml_visualizer — Visualize LookML relationships network as an interactive figure
• lstosa — Onsite analysis pipeline for the CTA LST-1
• LT3OpenCorpora — Python script to convert Ukrainian morphological dictionary from LanguageTool project to OpenCorpora formamore than million lexemes
• m9s-trytond — Tryton Server
• macq — Action model acquisition from state trace data.
• MAGINE — Package to analyze biological data.
• massql — Mass spectrometry query language python implementation
• mathlibtools — Lean prover mathlib supporting tools.
• maupassant — no summary
• medsegpy — MedSegPy is a framework for research on medical image segmentation.
• memocell — Bayesian inference of stochastic cellular processes with and without memory in Python.
• mercs — MERCS: Multi-Directional Ensembles of Regression and Classification treeS
• mercs-mixed — MERCS: Multi-Directional Ensembles of Regression and Classification treeS
• merlinxai — MERLIN
• metafield — Computational linguistic research companion
• metamart-graph — no summary
• metient — no summary
• minapip1 — kjdfdlsjlkdfl
• minapipe — this first test pipe
• minapipe1 — this first test pipe
• ml4h — Machine Learning for Health python package
• ml4pd — ML4PD - an open-source libray for building Aspen-like process models via machine learning.
• mlem-py — Pure Python machine learning library
• MLEssentials — A toolkit to install essential machine learning libraries with one command.
• mlnext-framework — Machine learning utilities.
• modeci-mdf — ModECI (Model Exchange and Convergence Initiative) Model Description Format
• modelgraph — Tool for extracting dependency graphs from gotran ODE models
• modelscope — ModelScope: bring the notion of Model-as-a-Service to life.
• modlee — modlee package
• momos — Test framework for protocol implementations
• mriqc — Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain.
• mriqc-learn — Learning on MRIQC-generated image quality metrics (IQMs).
• neads — Neads is a modular tool for modelling of dynamical systems with complex internal structure by complex networks.
• neptune-pytorch — Neptune.ai pytorch integration library
• neptune-tensorboard — Neptune.ai Tensorboard integration library
• neptune-tensorflow-keras — Neptune.ai tensorflow-keras integration library
• networkx — Python package for creating and manipulating graphs and networks
• neuromancer — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
• new-face — Face Recognition Tools
• new-frontera — A scalable frontier for web crawlers
• nibabies — Processing workflows for magnetic resonance images of the brain in infants
• nico-sc-sp — This package finds covariation patterns between interacted niche cell types from single-cell resolution spatial transcriptomics data.
• nipype — Neuroimaging in Python: Pipelines and Interfaces
• nirodents — NeuroImaging Rodents (NiRodents) provides processing tools for magnetic resonance images of the rodent brain.
• nitrain — Train medical imaging AI models locally or in the cloud with any framework
• niworkflows — NeuroImaging Workflows provides processing tools for magnetic resonance images of the brain.
• nncf — Neural Networks Compression Framework
• notebooks-and-scripts — 📜 notebooks and scripts for ai experiments and aws batch jobs.
• nutree — A Python library for tree data structures with an intuitive, yet powerful, API.
• nvidia-cutlass — CUTLASS
• nvsl-fiddle — Fiddle makes it easy to ask and answers questions about the compilation and execution of smallish programs written in C or C++.
• obfuscated-convo-new-version-abdo — Convo: the AI powered chatbot API 2.0
• odin-ai — Deep learning for research and production
• odoo-install — Odoo installer.
• odoo12-addon-bi-view-editor — Graphical BI views builder for Odoo
• odoo8-addon-base-module-doc-rst — Modules Technical Guides in RST and Relationship Graphs
• okta-graph — An ASGI web application that provides tools for graphing uset groups based on user attributes and group rules in Okta.
• oneat — Action classification for TZYX/TYX shaped images, Static classification for TYX/YX shaped images
• only-train-once — Only Train Once (OTO): Automatic One-Shot General DNN Training and Compression Framework
• onto-tool — Ontology Maintenance and Release Tool
• ontoenv — Manages owl:imports statements for multi-file development
• oogeso — Offshore Oil and Gas Field Energy System Operational Optimisation (OOGESO)
• openstack-governance — OpenStack Governance Documents
• opentera — OpenTera base package
• opf_dataset_utils — Physical calculations, plotting, and other utils for the PyG OPFDataset.
• orthoflow — A phylogenomic workflow
• ot2rec-report — Generate reports for Ot2Rec
• otoML — Only Train Once (OTO): Automatic One-Shot General DNN Training and Compression Framework
• otoole — A Python toolkit to support use of OSeMOSYS
• ou-tm351-py — Python package installation for OU module TM351
• own-knowledge-gpt — Custom Knowledge GPT
• pandasdb — A library for doing data analytics on databases in python without loading the data into memory of theclient computer
• paoding-dl — PAODING-DL: A Data-free Robustness-preserving Neural Network Pruning Toolkit
• paracelsus — Visualize SQLAlchemy Databases using Mermaid or Dot Diagrams.
• pargraph — Distributed graph computation library
• parsl — Simple data dependent workflows in Python
• pdfcompare — A Python package to compare files (PDF, docx, images) and generate reports in txt, html, or PDF format
• pdpp — Command line tool for automation, transparency, and reproducibility in data processing projects
• pdstools — Open source tooling that helps Data Scientists to analyze Pega models and conduct impactful analyses.
• peegy — Tools to pipeline bulk analyses of EEG and other modalities.
• peppermining — PepperMining is a free Process Mining framework.
• perspectives — Extracting directed emotions at scale with LMs
• phasme — CLI endpoint to handle (ASP encoded) graphs
• photonai-graph — PHOTON Graph - Graph machine learning with photonai.
• pingpong-datahub — A CLI to work with DataHub metadata
• pixellib — PixelLib is a library used for easy implementation of semantic and instance segmentation of objects in images and videos with few lines of code.PixelLib makes it possible to train a custom segmentation model using few lines of code.PixelLib supports background editing of images and videos using few lines of code.
• plcrex — PLCreX - Simplification, Transformation, Analysis, and Validation of IEC 61131-3 Programmable Logic Controllers
• polytracker — An LLVM-based instrumentation tool for universal taint tracking, dataflow analysis, and tracing.
• pptrees — Parallel Prefix tree generation library
• precice-config-visualizer — A tool for visualizing a preCICE configuration file as a dot file.
• primrose — Primrose: a framework for simple, quick modeling deployments
• principalmapper — A Python script and library for analyzing an AWS account's use of IAM.
• principalmapper-0ca — A patched version of pmapper that runs faster.
• ProcessGraph — Connecting Process Network Synthesis (PNS) to Modern Programming Ecosystems
• promptedgraphs — From Dataset Labeling to Deployment: The Power of NLP and LLMs Combined.
• prov — A library for W3C Provenance Data Model supporting PROV-JSON, PROV-XML and PROV-O (RDF)
• puma-hep — ATLAS Flavour Tagging Plotting Code
• py_trees — pythonic implementation of behaviour trees
• pyaf — Python Automatic Forecasting
• pyagrum — Bayesian networks and other Probabilistic Graphical Models.