Reverse Dependencies of sphinx-jsonschema

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

• aind-behavior-experiment-launcher — A library for a minimal framework that can be used to build experimental interfaces.
• aind-behavior-services — A library that defines AIND data schema and validates JSON files for behavior rig models.
• blueetl — Multiple simulations analysis tool
• broadbean — Package for easily generating and manipulating signal pulses.
• byteblower-test-cases-low-latency — Low Latency test case using ByteBlower.
• byteblower-test-cases-rfc-2544 — Perform throughput test based on RFC 2544 using ByteBlower.
• byteblower-test-cases-tr-398 — Perform traffic tests for TR-398 using ByteBlower.
• byteblower-test-framework — Test Framework for the ByteBlower Traffic Generator.
• cabinetry — design and steer profile likelihood fits
• correctionlib — A generic correction library
• d2py — Dive into Python.
• dasi — Automated DNA assembly planner for Python
• diameter-synthesis — Diametrize cells.
• e2clab — Your Edge-to-Cloud laboratory
• enoslib — A library to build (distributed) systems experiments
• igwn-monitor — Nagios (Icinga) monitoring plugins for IGWN
• ivadomed — Feature conditioning for IVADO medical imaging project.
• jupyter-telemetry-sphinxext — Sphinx extension for auto-generating Jupyter Telemetry schema documentation.
• jupyter-videochat — Video Chat with peers inside JupyterLab and RetroLab
• kwcoco — The kwcoco module and cli for image datasets
• mario — no summary
• MEDfl — Python Open-source package for simulating federated learning and differential privacy
• medimage-pkg — MEDimage is a Python package for processing and extracting features from medical images
• mofdscribe — Ecosystem for digital reticular chemistry
• morphology-workflows — Workflows used for morphology processing.
• MZT — Package to host DeepLearning modules for pytorch ecosystem, to ease out model implementations.
• neurots — Synthesis of artificial neurons using their topological profiles package.
• nipoppy — Standardized organization and processing of neuroimaging-clinical datasets
• padrick — A padframe controller/multiplexer generator for SoCs
• pib-cli — Python Development CLI
• qcodes — Python-based data acquisition framework developed by the Copenhagen / Delft / Sydney / Microsoft quantum computing consortium
• quantify-core — Quantify-core is a unified quantum computing, solid-state and pulse sequencing physical experimentation framework.
• quantify-scheduler — Quantify-scheduler is a Python package for writing quantum programs featuring a hybrid gate-pulse control model with explicit timing control.
• rcds — An automated CTF challenge deployment tool
• region-grower — Synthesize cells in a given spatial context.
• scikit-build-core — Build backend for CMake based projects
• semal — Tools for deserializing sklearn objects
• sphinx-pydantic — Generate Sphinx documentation from PyDantic objects.
• sphinx-pydantic-sqlalchemy — Document SQLAlchemy models by leveraging to sphinx-pydantic and pydantic-sqlalchemy
• StreamFlow — StreamFlow framework
• tautulli — A complete Python client for Tautulli's API
• uhi — Unified Histogram Interface: tools to help library authors work with histograms
• wisdem — Wind-Plant Integrated System Design & Engineering Model
• yt-napari — A napari plugin for loading data from yt