Reverse Dependencies of mkdocs-gen-files

The following projects have a declared dependency on mkdocs-gen-files:

• app-model — Generic application schema implemented in python
• artificial-artwork — Create artificial artwork by transfering the appearance of one image (eg a famous painting) to another user-supplied image (eg your favourite photograph).
• autora-core — Autonomous Research Assistant (AutoRA) is a framework for automating steps of the empirical research process.
• blackline-core — Manage personal data in your data stores.
• bloqade — Neutral atom software development kit
• bump-my-version — Version bump your Python project
• calcipy — Python package to simplify development
• capellambse-context-diagrams — Extension for python-capella-mbse that adds automatically generated context diagrams for arbitrary model elements.
• chassisml — no summary
• chmpy — Molecules, crystals, promolecule and Hirshfeld surfaces using python.
• ckantools — Utilities for ckan extensions.
• cmap — Scientific colormaps for python, without dependencies
• coco-assistant — Helper for dealing with MS-COCO annotations.
• compare-geoms — This package compares a list of molecular geometries to the geometries in large datasets.
• conjunto — Django application framework/helpers using HTMX, tabler.io, tables2, crispy-forms & more.
• continuiti — Learning function operators with neural networks.
• CosmoTech-Acceleration-Library — Acceleration libraries for CosmoTech cloud based solution development
• cosmotech-run-orchestrator — Orchestration suite for Cosmotech Run Templates
• cylindra — Spectral analysis, simulation and subtomogram averaging of heterogenic cylindrical structures
• cz-ossfs — fsspec filesystem for OSS
• dcTMD — Analyse targeted molecular dynamics data with dcTMD
• deep-river — Online Deep Learning for river
• dispatch-functions — Python SDK for Dispatch Stateful Functions
• dispatch-py — Develop reliable distributed systems on the Dispatch platform.
• distilabel — AI Feedback (AIF) framework
• docint — Extracting information from DOCuments INTelligently.
• doxtrings — a package that can ensure your docstrings are correct
• dp-cubed — Dynamic Profile Processing Platform
• duqtools — Dynamic uncertainty quantification for Tokamak reactor simulations modelling
• dvc-render — Dvc Render
• dvc-studio-client — Small library to post data from DVC/DVCLive to Iterative Studio
• dvc-task — Extensible task queue used in DVC.
• eche — Little helper for handling entity clusters
• edk2-pytool-extensions — Python tools supporting UEFI EDK2 firmware development
• edk2-pytool-library — Python library supporting UEFI EDK2 firmware development
• EDS-Scikit — eds-scikit is a Python library providing tools to
• embarrassment — Convenience functions to work with pandas triple dataframes 🐼🐼🐼
• equation-tree — Describe your contribution
• equine — EQUINE^2: Establishing Quantified Uncertainty for Neural Networks
• era5cli — A command line interface to download ERA5 data from the Copernicus Climate Data Store. https://climate.copernicus.eu/..
• EvOAutoML — Online Automated Machine Learning for river
• evotorch — EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
• ezdag — high-level HTCondor DAG generation library
• fedrq — fedrq is a tool to query the Fedora and EPEL repositories
• flake8-numbers — Flake8 Numbers Plugin
• fortimanager-template-sync — FortiManager Template Sync
• frequenz-api-common — Frequenz common gRPC API and bindings
• frequenz-api-dispatch — Frequenz gRPC API to propagate dispatches to microgrids
• frequenz-api-electricity-trading — Specification for Electricity Trading API.
• frequenz-api-microgrid — Frequenz gRPC API for monitoring and control of microgrids
• frequenz-api-reporting — Frequenz gRPC API to aggregate component data from microgrids
• frequenz-api-weather — Frequenz gRPC API for retrieving weather forecasts.
• frequenz-channels — Channel implementations for Python
• frequenz-client-base — Utilities for writing Frequenz API clients
• frequenz-client-common — Common code and utilities for Frequenz API clients
• frequenz-client-dispatch — Dispatch API client for Python
• frequenz-client-electricity-trading — Electricity Trading API client for Python
• frequenz-client-microgrid — Microgrid API client for Python
• frequenz-client-reporting — Reporting API client for Python
• frequenz-repo-config — Frequenz repository setup tools and common configuration
• frequenz-sdk — A development kit to interact with the Frequenz development platform
• gemseo-umdo — Capability for MDO under uncertainty.
• genid — no summary
• gotranx — A declarative language describing ordinary differential equations
• graphinate — Graphinate. Data to Graphs.
• hadal — Tool for mining/alignment parallel texts
• hdxms-datasets — Download and parse curated HDX-MS datasets
• iflearner — Federated learning package
• imas2xarray — Imas2xarray is a tool reading IMAS data in hdf5 format into xarray.
• in-n-out — plugable dependency injection and result processing
• instamatic — Python program for automated electron diffraction data collection
• itfit — Simple, intuitive and interactive application to help fitting common functions to your data
• jijmodeling-transpiler — no summary
• kfactory — KLayout API implementation of gdsfactory
• kiara — Data-centric workflow orchestration.
• lakefs-spec — An fsspec implementation for lakeFS.
• langchain-prefect — Orchestrate and observe tools built with langchain.
• langroid — Harness LLMs with Multi-Agent Programming
• magic-class — Generate multifunctional GUIs from classes
• magicgui — build GUIs from python types
• mandelviews — Create and view mandelbrot sets, following guidelines in ccn template.
• Markdown — Python implementation of John Gruber's Markdown.
• mctinctools — Common tools for our organization.
• megham — Tools for working with point clouds
• mk — mk
• mkdocs-ansible — Ansible MkDocs Theme based on mkdocs-material
• monz — Simple CLI for your Monzo account.
• mosaic-clustering — Correlation based feature selection for MD data
• mosec-tiinfer — Model Serving made Efficient in the Cloud
• motrainer — Parallel Training Measurement Operators (MO) for Data Assimilation (DA) Applications
• msmhelper — Helper functions for Markov State Models.
• napari-meshio — I/O for mesh files.
• nats-connect-opts — Opinionated way to configure NATS connect options in Python
• nats-micro — NATS Micro implementation for Python
• nats-request-many — NATS Micro implementation for Python
• nats-test-server — Run a NATS server during tests in Python
• nats-tools — Useful tools to develop Python projects relying on NATS
• nebula-aws — Nebula collection of tasks and subflows to integrate with AWS
• nebula-docker — Nebula integrations for working with Docker
• nebula-gcp — Nebula tasks and subflows for interacting with Google Cloud Platform.