Reverse Dependencies of pytkdocs

The following projects have a declared dependency on pytkdocs:

• arger — Create argparser automatically from functions
• capellambse-context-diagrams — Extension for python-capella-mbse that adds automatically generated context diagrams for arbitrary model elements.
• chime-frb-api — CHIME/FRB API
• collagen — A virtual stack machine that executes Python code based on instructions provided in a JSON file.
• deep-river — Online Deep Learning for river
• dpm360-lightsaber — Package to handle model training for dpm tasks
• EvOAutoML — Online Automated Machine Learning for river
• galcheat — Tiny library of galaxy surveys most useful parameters with units
• givenergy-modbus — A python library to access GivEnergy inverters via Modbus TCP, with no dependency on the GivEnergy Cloud.
• handwrite — Convert text to custom handwriting
• hktkzyx-toolbox — Toolbox of hktkzyx.
• mkdocstrings-python-legacy — A legacy Python handler for mkdocstrings.
• mtglearn — Magic the Gathering and Machine Learning
• nebulaconsole — Workflow orchestration and management.
• passpredict — Predict upcoming satellite overpasses
• prefect — Workflow orchestration and management.
• pytkdocs-tweaks — Some custom tweaks to the results produced by pytkdocs (part of mkdocstrings).
• river-torch — Online Deep Learning for river
• runnerase — An Interface between the Runner Neural Network Energy Representation (RuNNer) and the Atomic Simulation Environment (ASE).
• sequence-stk — A virtual stack machine that executes Python code based on instructions provided in a JSON file.
• skfeature-chappers — Unofficial Fork of Feature Selection Repository in Python (DMML Lab@ASU)
• skfeature-gli — Unofficial Fork of Feature Selection Repository in Python (DMML Lab@ASU)
• swap-anything — A mix and match (swap) library to empower swapping-based projects.
• TSInterpret — todo
• tyko — Tyko library.
• whatrecord — EPICS IOC record search and meta information tool
• yaml2pyclass — Code generator that produces a Python class from a YAML input file. Can be used to facilitate code completion for config objects.
• zvm — A virtual stack machine that executes Python code based on instructions provided in a JSON file.