Reverse Dependencies of sphinx-autoapi

The following projects have a declared dependency on sphinx-autoapi:

• cr39py — Python package for analyzing CR-39 particle track data
• crazylibs — crazylibs
• cross-bones — Cross-match By Offsetting Neighbouring Extracted Sources
• cryptocurrencyeda — A package to analyze historical cryptocurrency prices and performance
• ctap-keyring-device — CTAP (client-to-authenticator-protocol) device backed by python's keyring library
• CurviRiver — Generate curvilinear mesh from river outline polygons
• custom-workflow-solutions — Programmatically author, schedule and monitor data pipelines
• cutout-fits — A package to produce cutouts of (remote) FITS files.
• d2py — Dive into Python.
• dacapo-ml — Framework for deployment of volumetric machine learning models, and easy composition of training jobs.
• damast — Package to improve the development of transparent, replicable data processing pipelines
• darbiadev-hermes — Shipping tooling
• darbiadev-onsite — Access OnSite data through FileMaker's JDBC integration
• darbiadev-sands — A wrapper for S&S' API.
• darbiadev-shipping — darbiadev-shipping
• darbiadev-shipping-types — A set of types to provide a consistent interface across multiple packages
• darbiadev-ups — A wrapper for UPS' API
• darknet-py — DarkNet OpenSource Neural Networks in Python
• dash-leaflet-basemaps — A extra layer type to manage basemaps in dash-leaflet
• data-ecosystem-dependencies — Data Ecosystem Dependencies - Python (PADE)
• data-ecosystem-python — Program Agnostic Data Ecosystem (PADE) - Python Services
• data-ecosystem-services — Program Agnostic Data Ecosystem (PADE) - Python Services
• dataramp — A Data science library for data science / data analysis teams
• datasetops — Fluent dataset operations, compatible with your favorite libraries
• davt-dependencies-python — Data, Analytics and Visualization Templates (DAVT) - Python Dependencies
• davt-services-python — Data, Analytics and Visualization Templates (DAVT) - Python Services
• deduplicationdict — A dictionary that de-duplicates values.
• deepdisc — no summary
• deepinv — Pytorch library for solving inverse problems with deep learning
• deepmd-gnn — DeePMD-kit plugin for graph neural network models.
• deepmd-kit — A deep learning package for many-body potential energy representation and molecular dynamics
• demcompare — A tool to compare Digital Elevation Models
• desktop-notifier — Python library for cross-platform desktop notifications
• dianna — Deep Insight And Neural Network Analysis
• dipcoatimage-finitedepth — Image analysis for finite depth dip coating process
• discuit — Dynamic item set clustering UI tool: The goal of this package is to split datasets (e.g. words defined by several variables) into subsets that are as comparable as possible.
• disk-numpy-array — A library to save and load a large numpy array from disk.
• dissect.cobaltstrike — a Python library for dissecting Cobalt Strike related data
• distance_explainer — XAI method to explain distances in embedded spaces
• divbrowse — A web application for interactive visualization and analysis of genotypic variant matrices
• dj-angles — Add more bracket angles to Django templates </>
• django-unicorn — A magical full-stack framework for Django.
• dkist-processing-common — Common task classes used by the DKIST science data processing pipelines
• dkist-processing-core — Abstraction layer used by the DKIST science data processing pipelines with Apache Airflow
• dkist-processing-cryonirsp — Science processing code for the Cryo-NIRSP instrument on DKIST
• dkist-processing-dlnirsp — Science processing code for the DLNIRSP instrument on DKIST
• dkist-processing-math — Common math functionality used in the DKIST calibrations suite
• dkist-processing-pac — Modules to determine telescope polarization parameters and compute instrument demodulation matrices at DKIST
• dkist-processing-vbi — Processing code for the VBI instrument on DKIST
• dkist-processing-visp — Science processing code for the ViSP instrument on DKIST
• dkist-spectral-lines — Spectral line metadata for the DKIST suite of instruments.
• docinit — Bootstrap your Sphinx documentation
• dotmix — dotmix is a library and a cli that offers a template based solution to managing your dotfiles
• DSM_0.2 — Библиотека прогнозных моделей DSM
• dtool-ibeis — dtool_ibeis - a dependency aware cache for ibeis
• dts-utils — DTS utility python package
• dtscalibration — Load Distributed Temperature Sensing (DTS) files, calibrate the temperature and estimate its uncertainty.
• earthkit-data — A format-agnostic Python interface for geospatial data
• eDisGo — A python package for distribution network analysis and optimization
• edu-airflow — Programmatically author, schedule and monitor data pipelines
• effluent — Simulate effluent discharges from wastewater pipes
• elan-scissors — Cut ELAN audio into snippets.
• eloy — Image Processing for Astronomy
• emeralds — A testing package for learning PyPi.
• emergingtrajectories — Open source library for tracking and saving forecasts of political, economic, and social events.
• emvoice — Extract emotion expression-related voice features from audio.
• ert — Ensemble based Reservoir Tool (ERT)
• especifico — Específico - API first applications with OpenAPI/Swagger and Flask
• evalml — an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions
• evaluation-lumo — evaluation_lumo is a package for evaluating the LUMO damage detection system.
• evclust — Evidential Clustering
• events-protocol — Library to be a Client and Server using event protocol
• ewatercycle — A Python package for running and validating a hydrology model
• example-project-orl — no summary
• ExecFlowSDK — OpenModel Wrapper Software Development Kit (SDK).
• extents — An intervals library implemented in pure python, meant to be a drop-in replacment for the pyinterval library.
• extrucal — Provides functions for calculating various parameters in extrusion processes
• fair-scoring — Fairness metrics for continuous risk scores
• fairchem-core — Machine learning models for chemistry and materials science by the FAIR Chemistry team
• fastdev — Type less, code more
• fastgedcom — A lightweight tool to easily parse, browse and edit gedcom files.
• FeatherPy — A python package to combine radio as
• felupe — Finite Element Analysis
• femr — Framework for Electronic Medical Records. A python package for building models using EHR data.
• femr-cuda — Framework for Electronic Medical Records. A python package for building models using EHR data.
• femr-oldcpu — Framework for Electronic Medical Records. A python package for building models using EHR data.
• fenics-smart — Spatial Modeling Algorithms for Reactions and Transport (SMART) is a high-performance finite-element-based simulation package for model specification and numerical simulation of spatially-varying reaction-transport processes in biological cells.
• fhailib — FH,FJ Vision AI SYSTEM LIB
• firetail — Firetail - API first applications with OpenAPI/Swagger and Flask
• fitscube — A package to produce produce FITS cubes.
• FlaskSimpleAuth — Simple authentication, authorization and parameters for Flask, emphasizing configurability
• FlaskTester — Pytest fixtures for Flask internal and external authenticated tests
• flexcode — no summary
• floatcsep — CSEP Floating Experiment application
• flowrunner — Flowrunner is a lightweight package to organize and represent Data Engineering/Science workflows
• fluxpoint.py — A Python wrapper for the Fluxpoint API
• fm-training-estimator — A package of Estimators for Large Language Model Training.
• fparser — Python implementation of a Fortran parser
• fprime-tools — F Prime Flight Software tooling, helpers and core data types
• fractal-tree — Create a fractal tree over a surface discretized by triangles