Reverse Dependencies of nbstripout

The following projects have a declared dependency on nbstripout:

• asynciojobs — A simplistic orchestration engine for asyncio-based jobs
• azure-cis-scanner — Azure CIS Scanner for security
• blopt — Beamline optimization with machine learning
• bloptools — Beamline optimization with machine learning
• buckaroo — Buckaroo - GUI Data wrangling for pandas
• canica — no summary
• causallift — CausalLift: Python package for Uplift Modeling for A/B testing and observational data.
• clusterking — Cluster sets of histograms/curves, in particular kinematic distributions in high energy physics.
• commonmeta-py — Library for conversions to/from the Commonmeta scholarly metadata format
• connar-package — no summary
• corradin-opioid-project — no summary
• crescendo — Machine learning made easy
• diffeqtorch — DifferentialEquations.jl with PyTorch.
• dtox — TODO
• earthchem — Data slurper for getting stuff from Earthchem services
• emm — Entity Matching Model package
• EOTorchLoader — Pytorch data loader for Earth observation imagery
• fair — Finite-amplitude Impulse Response (FaIR) simple climate model
• fcdocs — no summary
• fdtd — a 3D electromagnetic FDTD simulator written in Python
• fennel-seed — Light-yields for tracks, and cascades
• flax — Flax: A neural network library for JAX designed for flexibility
• flayout — Thin functional/declarative wrapper around the KLayout Python API
• fourth-day — Bioluminescence modeling for deep-sea experiments
• freqtrade — Freqtrade - Crypto Trading Bot
• funsql-python — library to write compositional sql
• gdp-time-series — no summary
• ggce — Numerically exact Generalized Green's Function Cluster Expansion
• gistim — GIS utilities for Tim(ML) Analytic Element modeling
• graphein — Protein & Interactomic Graph Construction for Machine Learning
• htmap — High-Throughput Computing in Python, powered by HTCondor
• hybra-core — Toolkit for data management and analysis.
• icepy4d — 4D Image-based Continuos monitoring of glaciers Evolution with low-cost stereo-cameras and Deep Learning photogrammetry.
• iop4 — A rewrite of IOP3, a pipeline to work with photometry and polarimetry of optical data from CAHA and OSN.
• ipas — Theoretically simulates ice crystal aggregation (snow) using hexagonal prisms
• json2tex — Convert a JSON document to LaTeX commands
• jupyter-paperboy — Jupyter notebooks
• juts — Jupyter widgets for scheduling processes and visualizing the resulting (live) data
• kedro-accelerator — Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.
• kedro-graphql — A kedro plugin for serving any kedro project as a GraphQL api
• kosu — Build and maintain courses using Jupyter Notebooks.
• libf0 — A Python Library for Fundamental Frequency Estimation in Music Recordings
• libtsm — Python Package for Time-Scale Modification and Pitch-Shifting
• lightshow — A one-stop-shop for computational spectroscopy
• maria — A simulator for ground-based millimeter- and submillimeter-wave telescopes.
• mat3ra-api-examples — Mat3ra API Examples
• meow-sim — Modeling of Eigenmodes and Overlaps in Waveguide Structures
• mesonic — Sonification Framework
• metro-sp-mdp — no summary
• mosfit — Modular software for fitting semi-analytical model predictions to observed astronomical transient data.
• multirec — no summary
• nb-prep — Prepares jupyter notebooks for storing stripped versions in git and sharing results with stakeholders
• nbhosting — An infrastructure for hosting notebooks behind an open-edX MOOC platform, or for registered students like in a classroom
• nessie — Annotation error detection and correction
• nismod-snail — The spatial networks impact assessment library
• nrslib — Standardised Library for the Benchmarking of News Recommenders Systems
• oarepo — CESNET, UCT Prague and NTK wrapper around Invenio v3.
• obvs — Making Transformers Obvious
• openpifpaf — PifPaf: Composite Fields for Human Pose Estimation
• pkgpy-aam-kedro0182 — no summary
• pricetool — no summary
• pyalgorand — no summary
• pymc3-ext — PyMC3 Extras extracted from the
• pyro-ppl — A Python library for probabilistic modeling and inference
• pyswarms — A Python-based Particle Swarm Optimization (PSO) library.
• pyttb — Python Tensor Toolbox
• pywatemsedem — Python Wrapper for WaTEM/SEDEM
• pywaterinfo — Python package to download time series data from waterinfo.be
• quantify-core — Quantify-core is a unified quantum computing, solid-state and pulse sequencing physical experimentation framework.
• quantify-zurich-instruments — Zurich Instruments backend for Quantify.
• raimitigations — Python library for implementing and exploring mitigations for Responsible AI.
• rfactor — Scripts to compute and analyse the RUSLE R-factor.
• risk-mgm-pack — no summary
• rostam-pack — no summary
• rudi-node-write — Use the internal API of a RUDI Producer node
• sample-package-211031 — sample package
• sax — Autograd and XLA for S-parameters
• sc3nb — SuperCollider3 (sc3) for Python and Jupyter notebooks
• scenepic — 3D Visualization Made Easy
• SMACT — Semiconducting Materials by Analogy and Chemical Theory
• snkit — a spatial networks toolkit
• symforce — Fast symbolic computation, code generation, and nonlinear optimization for robotics
• take-forecast — This module performs time series forecasting using Kedro pipelines.
• todder — Beamline optimization with machine learning
• torchopenl3 — Deep audio and image embeddings, based on Look, Listen, and Learn approach Pytorch
• torchsynth — A modular synthesizer in pytorch, GPU-optional and differentiable
• toxic — TODO
• tradescope — Tradescope - Crypto Trading Bot
• treebeard — Run and schedule jupyter notebook projects in the cloud
• tspace — io interface
• viabel — Efficient, lightweight variational inference and approximation bounds
• whatlies — Tools to help uncover `whatlies` in word embeddings.
• workflow-uva — A workflow for Canvas and Nbgrader
• xedro — Kedro helps you build production-ready data and analytics pipelines
• xeofs — Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis
• xskillscore — Metrics for verifying forecasts