Reverse Dependencies of pydot

The following projects have a declared dependency on pydot:

• aalpy — An active automata learning library
• abdelrahman-obfuscate — Convo: the AI powered chatbot API 2.0
• abdo — kjdfdlsjlkdfl
• abdo-obfuscate — Obfuscate Convo Test
• abdoconvo — dynamic forms updated
• adage — Running dynamic DAG workflows
• adotestplan-to-pytestbdd — Utility for translating AzureDevOps Test Plans to Gherkin Feature file and Pytest-BDD runners
• adsg-core — Design Space Graph (ADSG Core)
• agl-ocr-reader — OCR API: This OCR API is an application for extracting text from images and PDF files. It is built using Flask, a Python web framework. It utilizes the pytesseract OCR library, pymupdf and the PIL library for image processing.
• aha-tools — no summary
• AhpAnpLib — Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) Library
• aimodelshare — Deploy locally saved machine learning models to a live rest API and web-dashboard. Share it with the world via modelshare.org
• aiproteomics — A package for MSMS spectral library prediction models from the field of (phospho-)proteomics, intended to facilitate the testing and comparison of different neural network architectures and existing models.
• ak-androguard — A fork of official Androguard project. Androguard is a full python tool to play with Android files.
• alan — A programming language for designing Turing machines
• alex-nn — Network analysis
• algorecell-types — Generic types for reprogramming predictions from logical models
• allude — Building precise functionality from vague specifications
• amarna — Amarna is a static-analyzer for the Cairo programming language.
• anai-opensource — Automated ML
• androguard — Androguard is a full python tool to play with Android files.
• androguard-p — Androguard is a full python tool to play with Android files.tytr
• antelope-reports — Tools for summarizing and visualizing LCA models in Antelope
• apache-beam — Apache Beam SDK for Python
• apache-beam-ai2 — A FORK! for testing with different dill version
• APalysis — no summary
• apis-core-rdf — Base package for the APIS framework
• aplusml — Conduct usefulness simulations of ML models embedded in workflows
• argo-workflow-tools-visualization — Visualization tools for the argo-workflow-tools package
• artificial-neural-network-model-automation — This repository is for automating artificial neural network model creation with tabular data using Keras framework.
• artur-qiskit — Software for developing quantum computing programs
• artur-qiskit-terra — Software for developing quantum computing programs
• asrt — A Deep-Learning-Based Auto Speech Recognition Toolkit
• ast-toolbox — A toolbox for worst-case validation of autonomous policies
• ast-visualizer-marvel1337 — A small example package
• astars — astars: An unified programming language parser & analyse AST tool for Souece Code Analysis.
• astdrawercabpacob — A small example package
• atelierflow — An ML pipeline using apache beam for run experiments
• auto-learn-gpt — autoML for training and inference Deep Learning model
• autobuild — Linden Lab Automated Package Management and Build System
• autogoal — Automatic Generation Optimization And Learning
• automatic-spectral-acquisition — Python interface for the automatic data acquisition of spectral data.
• baikal — A graph-based functional API for building complex scikit-learn pipelines.
• bandyt — A brief description of your module
• barf — A multiplatform open source Binary Analysis and Reverse engineering Framework
• basenet-api — Basenet API: A simpler way to build ML models.
• bella-tdsa — Target Dependent Sentiment Analysis (TDSA) framework.
• besca — Collection of BEDA internal python functions for analysing single cell RNAseq data.
• BETSE — The BioElectric Tissue Simulation Engine (BETSE) is a discrete exterior calculus simulator for 2D computational multiphysics problems in the life sciences -- including (electro)diffusion, (electro)osmosis, galvanotaxis, voltage-gated ion channels, gene regulatory networks, and biochemical reaction networks.
• bf-nlu — no summary
• bf-nlu-banki — no summary
• bgraph — no summary
• biapy — BiaPy: Bioimage analysis pipelines in Python
• biclustering — Biclustering and association rule mining using Suffix Tree and Frequent Closed Itemset based algorithm.
• bids-prov — BIDS extension proposal 28 : BIDS Provenance
• bigtree — Tree Implementation and Methods for Python, integrated with list, dictionary, pandas and polars DataFrame.
• bingraphvis — no summary
• biogram — Make diagrams for biological entities.
• bionic — A Python framework for building, running, and sharing data science workflows
• bioprov — BioProv - Provenance capture for bioinformatics workflows
• birm-nm-foo — Neural Modules with Adaptive Nonlinear Constraints and Efficient Regularization
• biseau — Draw graphs using Answer Set Programming
• blueflow — 📜 workflow management on aws batch and more.
• board-automate — Automate remote exection on linux based embedded boards
• boofuzz — A fork and successor of the Sulley Fuzzing Framework
• BotsOnRails — BotsOnRails makes it easy to write LLM-controlled programs without outsourcing all of the logic and decisions to stochastic models. It facilitates the seamless integration of function-based nodes into an execution tree, enabling conditional and sequential task execution tailored to complex, resumable processing flows.
• bout-runners — Manage your BOUT++ runs through python
• bq-airflow-dag-generator — Generate Airflow DAG from DOT language to execute BigQuery efficiently mainly for AlphaSQL
• bq-jobrunner — Enables to easily query multiple BigQuery queries with any dependencies.
• bqrun — Query runner for BigQuery. It automatically analyzes dependencies and runs only necessary queries in parallel.
• brain_dump — Tools to generate mindmaps compatible from markdown-like text files, either as PNG with graphviz or as wisemapping-compatible XMLs
• canalyst-candas — The official Canalyst Software Development Kit (SDK) for our public API
• capital — Single-Cell Analysis, comparing pseudotime trajectories with tree alignment
• cardano-py-tools — Cardano python tools
• case-prov — A mapping of CASE to W3C PROV
• causal-chains — A package for extracting causal chains from text
• causal-learn — causal-learn Python Package
• causal-pipe — A Python package streamlining the causal discovery pipeline for easy use.
• causal-testing-framework — A framework for causal testing using causal directed acyclic graphs.
• cdesf — Concept-drift on Event Stream Framework
• cdp-backend — Data storage utilities and processing pipelines to run on CDP server deployments.
• cerebral — Tool for creating multi-output deep ensemble neural-networks
• cfiddle — CFiddle makes it easy to ask and answers questions about the compilation and execution of smallish programs written in compiled languages like C, C++, and Go.
• cfn-lint — Checks CloudFormation templates for practices and behaviour that could potentially be improved
• cgpcnn — A project featuring methods for optimizing neural networks using PyTorch.
• chady — A package for ML libraries
• cheche-pm — A python package dedicated to project scheduling
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• cloudmesh-cc — The cloudmesh compute coordinator
• CNFgen — CNF formula generator
• CNTools — A package for identifying cellular neighborhoods
• colomoto_jupyter — CoLoMoTo helper functions for Juypter integration
• colour-science — Colour Science for Python
• Comex — Generate combined multi-code view graphs
• conflagrate — A framework for writing applications with control flow graphs
• conmato — A Command Line Interface for Codeforces Management Tools
• controlgraph — Generate build order graph from directory of debian packaging repositories
• contrxt — ContrXT
• convexgating — ConvexGating is a Python tool to infer optimal gating strategies for flow cytometry and cyTOF data.
• convo-engine — Convo: the AI powered chatbot API 2.0