Reverse Dependencies of nbformat

The following projects have a declared dependency on nbformat:

• PyMPDATA — Numba-accelerated Pythonic implementation of MPDATA with examples in Python, Julia, Rust and Matlab
• pynblint — A linter for Jupyter notebooks written in Python.
• pypipa — Platform Integrated Performance Analytics, PIPA
• pyplatex — A scalable and versatile ANPR package leveraging YOLO for detection and multiple OCR options to accurately recognize license plates.
• PyProcessingPipeline — Package for defining processing pipelines.
• pyreqify — A module to extract Python dependencies packages
• pyrit-library — no summary
• pyro-ppl — A Python library for probabilistic modeling and inference
• pyrovelocity — A multivariate RNA Velocity model to estimate future cell states with uncertainty using probabilistic modeling with pyro.
• pyrre — PyRRE: Python code to run the fortran FERRE package to fit synthetic spectra
• pysparkler — A tool that upgrades your PySpark scripts to the latest Spark version as per Spark migration Guideline
• PySR3 — Python Library for Sparse Relaxed Regularized Regression.
• pystencils — Speeding up stencil computations on CPUs and GPUs
• pyswarms — A Python-based Particle Swarm Optimization (PSO) library.
• Pyterate — Pyterate is a Sphinx add-ons to generate API documentation using autogen and litterate programming documentation for Python projects.
• pytest-check-links — Check links in files
• pytest-ipynb2 — Pytest plugin to run tests in Jupyter Notebooks
• pytest-jupyter — A pytest plugin for testing Jupyter libraries and extensions.
• pytest-notebook — A pytest plugin for testing Jupyter Notebooks.
• pytest-zy — 接口自动化测试框架
• pytestmsfabric — no summary
• python-core — there is no description available
• python3-nbctl — convert jupyter *.ipynb file to markdown files
• pytiers — no summary
• PyToneAnalyzer — A Python package for analyzing musical instruments through Fourier analysis.
• pytorch-caldera — no summary
• PyVMCON — Python implementation of the VMCON non-linear constrained optimiser.
• qc-benchmark-dwave — caict qc benchmark tooklit for Dwave Leap cloud
• qiskit-ibm-runtime — IBM Quantum client for Qiskit Runtime.
• qsmap — Package provides functionality for working with geographical data, routing, and mapping
• qualtran — Software for fault-tolerant quantum algorithms research.
• quant-invest-lab — Quant Invest Lab is a python package to help you to do some quantitative experiments, while trying to learn or build quantitative investment solutions. This project was initially my own set of functionnalities but I decided to build a package for that and sharing it as open source project.
• quant1x — Quant1X量化交易框架
• quantstream — 'QuantStream' is a Python library for financial data analysis and visualization.
• quarto — Python Interface to 'Quarto' Markdown Publishing System
• raid-tool — RAID: Rapid Automated Interpretability Datasets tool
• raimitigations — Python library for implementing and exploring mitigations for Responsible AI.
• rainstorm — Real & Artificial Intelligence in Neuroscience – Simple Tracker for Object Recognition Memory
• ramps-galactic — no summary
• rapy-genius — a python api to collect data from genius.com using their API
• rctevaluation — A package for RCT evaluation
• rdagent — Research & Development Agent
• readet — This patch includes several improvement to RAGs, summarizers, downloders and retrievers; plus compatibility for windows installation
• rectools — An easy-to-use Python library for building recommendation systems
• recursion-visualizer — Visualize recursive functions with beautiful animations
• reliquery — Science's Artifact Antiformat
• removestar — A tool to automatically replace 'import *' imports with explicit imports in files
• repo2vec — A library to index a code repository and chat with it via LLMs.
• reportify — Generate report-like documents from Jupyter notebooks
• reprexpy — Render reproducible examples of Python code (port of R package `reprex`)
• reprozip-jupyter — Jupyter Notebook tracing/reproduction using ReproZip
• resotonotebook — Resoto Python client library
• rickpy — Useful utilties for python
• rnaseqc — Multi-sample visualization of metrics from RNA-SeQC
• robotkernel — A Jupyter kernel for interactive acceptance-test-driven development with the Robot Framework
• rocketserializer — Easily convert your OpenRocket files into RocketPy simulations.
• root-dash — A package for quick creation of data-science dashboards.
• rotman-ncs — UoT Rotman NLP Case Study
• rsconnect-jupyter — Jupyter Notebook integration with Posit Connect
• rtichoke — interactive visualizations for performance of predictive models
• RunNotebook — no summary
• s2w — A package that can convert a paragraph of spoken english to written english
• sagemaker — Open source library for training and deploying models on Amazon SageMaker.
• sagemaker-jupyterlab-extension-common — SageMaker JupyterLab workspace common module
• sail — Python package for streaming data and incremental learning
• sapientml-core — A SapientML plugin of SapientMLGenerator
• saturn-notebook — Plain-text Python notebooks with checkpointing
• satyrn-python — A Notebook alternative that supports branching code
• sbi — Simulation-based inference.
• scdna-replication-tools — Code for analyzing single-cell replication dynamics
• scenestats — A PyTorch port of the Freeman-Simoncelli model introduced in J. Freeman and E. P. Simoncelli, “Metamers of the ventral stream,” Nat Neurosci, vol. 14, no. 9, pp. 1195–1201, Sep. 2011, doi: 10.1038/nn.2889.
• scgen — ScGen - Predicting single cell perturbations.
• scheptk — Python scheduling package
• scifit — Scientific Fit for Python
• scikit-rt — Toolkit for analysis of radiotherapy data
• scikit-survival — Survival analysis built on top of scikit-learn
• scilint — infuse quality into notebook based workflows with a new type of build tool.
• sciunit — A test-driven framework for formally validating scientific models against data.
• scorescanner — scorescanner helps you understand the main factors influencing the target of predictive tabular machine learning models.
• scProject — Transfer learning framework for single cell gene expression analysis in Python
• scraper-project-rami — no summary
• scslat — A graph deep learning based tool to align single cell spatial omics data
• scvi — Single-cell Variational Inference
• sdq-mlb — Playground with multiple baseball websites
• seabirdscientific — Sea-Bird Scientific Community Toolkit
• SeafileContentManager — ContentManager using Seafile's WebAPI
• sebschmi-snakemake — Snakemake is a workflow management system that aims to reduce the complexity of creating workflows by providing a fast and comfortable execution environment, together with a clean and modern specification language in python style. Snakemake workflows are essentially Python scripts extended by declarative code to define rules. Rules describe how to create output files from input files.
• seed-autogen — A programming framework for agentic AI
• seed-pyautogen — A programming framework for agentic AI
• seeq-data-lab-env-mgr — Data Lab Environment Manager
• seismic-graph — seismograph is a plotting library for SEISMIC
• self-driving-lab-demo — Software and instructions for setting up and running an autonomous (self-driving) laboratory optics demo using dimmable RGB LEDs, a 10-channel spectrometer, a microcontroller, and an adaptive design algorithm.
• seminar-toolkit — Optimized to manage Jupyter Notebook driven courseware with SSGs.
• serotiny — A framework of tools to structure, configure and drive deep learning projects
• sfcv — Step Forward Cross Validation for Bioactivity Prediction
• shap — A unified approach to explain the output of any machine learning model.
• shapash — Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone.
• shapeshifter — A tool for managing large datasets
• shore-pkg-geonda — python wrapper for OCEAN-FEFF
• singletrader — a package for backtesting and factor analysis