Reverse Dependencies of sphinx-issues
The following projects have a declared dependency on sphinx-issues:
- scaper — A library for soundscape synthesis and augmentation
- scikit-base — Base classes for sklearn-like parametric objects
- scikit-build — Improved build system generator for Python C/C++/Fortran/Cython extensions
- scikit-tree — Modern decision trees in Python
- sdss-access — Package to dynamically build filepaths and access all SDSS SAS products
- sdss-marvin — Toolsuite for dealing with the MaNGA dataset
- sdss-tree — Control and setup of SDSS tree environment and modules
- seaborn — Statistical data visualization
- sgen — Generating test data structures
- sheraf — Versatile ZODB abstraction layer
- skbase — Base classes for sklearn-like parametric objects
- sklearn-ann — Various integrations for ANN (Approximate Nearest Neighbours) libraries into scikit-learn.
- skops — A set of tools to push scikit-learn based models to and pull from Hugging Face Hub
- skpro — A unified framework for probability distributions and probabilistic supervised regression
- spey-pyhf — pyhf plugin for spey interface
- sphinx-issues — A Sphinx extension for linking to your project's issue tracker
- sphinx-subprojecttoctree — Subprojecttoctrees is a Sphinx extension that aims to facilitate the integration of several documentation sources into a single Read the Docs webpage.
- stimuli — Simple auditory and visual stimuli avoiding PsychoPy.
- surface-water-network — Surface water network
- symmetria — Symmetria provides an intuitive, thorough, and comprehensive framework for interacting with the symmetric group and its elements.
- teachpyx — Teaching material, algorithm, machine learning
- textblob — Simple, Pythonic text processing. Sentiment analysis, part-of-speech tagging, noun phrase parsing, and more.
- TLE-tools — Library to work with two-line element set files
- tsbootstrap — A Python package to generate bootstrapped time series
- tsml — A toolkit for time series machine learning algorithms.
- tsml-eval — A package for benchmarking time series machine learning tools.
- VirtualFleet — ``Virtual Fleet`` is a Python package to compute and analyse simulations of virtual Argo float trajectories.
- wailord — Wailord is a python library to interact with ORCA
- webargs — Declarative parsing and validation of HTTP request objects, with built-in support for popular web frameworks, including Flask, Django, Bottle, Tornado, Pyramid, Falcon, and aiohttp.
- webbpsf — Creates simulated point spread functions for the James Webb Space Telescope
- wellmap — File format for 96-well plate layouts.
- whatshap — phase genomic variants using DNA sequencing reads
- wsds — A simple framework for building complex web applications.
- xibs — Prototype Intra-Beam Scattering implementation for Xsuite.
- xit-books — Documentation manager based on 'Sphinx' and some extensions.
- zarr — An implementation of chunked, compressed, N-dimensional arrays for Python
- zelt — Zalando end-to-end load tester
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