Reverse Dependencies of papermill
The following projects have a declared dependency on papermill:
- paperless — A papermill implementation to run notebooks inside dataproc serverless
- papermill-kubernetes-job-progress — no summary
- papermill-mlflow-handler — MLFlow handler for papermill.
- papermill-origami — The noteable API interface
- papermill-report — Microservice to generate Jupyter reports
- papermill-service — A REST API which executes jupyter notebooks via papermill
- papermill_watermark — no summary
- papersweep — Combining papermill and wandb sweeps for frictionless experiments with Notebooks
- pdstools — Open source tooling that helps Data Scientists to analyze Pega models and conduct impactful analyses.
- pfund — A Complete Algo-Trading Framework for Machine Learning, enabling trading across TradFi, CeFi and DeFi. Supports Vectorized and Event-Driven Backtesting, Paper and Live Trading
- pharaglow — A toolset to analyze videos of foraging animals.
- phcnb — no summary
- pick-kernel — The Jupyter Kernel for Choosy Users
- pkgbox — Frequently Used Packages for Analytics
- ploomber — Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud.
- praxxis — a notebook task interface built on big data and machine learning.
- pre-reco-utils — Recommender System Utilities
- prefect-jupyter — Prefect integrations interacting with Jupyter.
- processcube-sdk — Some tools and defaults to program for the ProcessCube.
- pyannote.audio — Neural building blocks for speaker diarization
- pycarol — Carol Python API and Tools
- pydoit-nb — Library to support combining jupyter notebooks and pydoit.
- pyhf — pure-Python HistFactory implementation with tensors and autodiff
- pymbse — no summary
- pynb-dag-runner — no summary
- pynb-dag-runner-snapshot — no summary
- pytorch-hyperlight — PyTorch Hyperlight is ML micro-framework built as a thin wrapper around PyTorch-Lightning and Ray Tune frameworks to push the boundaries of simplicity even further.
- pyyawl — Yet another simple workflow language for python
- qililab — Fundamental package for fast characterization and calibration of quantum chips.
- recommenders — Microsoft Recommenders - Python utilities for building recommender systems
- reportsrender — Execute and render notebooks as HTML reports.
- reprobench — Reproducible Benchmark for Everyone
- road-data-scraper — Scrapes and Cleans WebTRIS Traffic Flow API
- roux — Convenience functions.
- roxie-api — A Python API for ROXIE to build a model data input, modify cable database file, and control simulation with a tool adapter
- rudderlabs.data.apps — Rudderlabs data apps library
- runflow — Define and run your workflows
- sagemaker-headless-execution-driver — Execution Driver for Notebook Scheduler
- sax — Autograd and XLA for S-parameters
- scrapbook — A library for recording and reading data in Jupyter and nteract Notebooks
- scrapbook-beta — A library for recording and reading data in Jupyter and nteract Notebooks
- scslat — A graph deep learning based tool to align single cell spatial omics data
- shapash — Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone.
- simtool — Functions for creating and running sim2Ls
- soam — Tools for time series analysis, plotting and reporting.
- soorgeon — Convert monolithic Jupyter notebooks into maintainable pipelines.
- sos-papermill — SoS extension for papermill
- sos-rmarkdown — A Rmarkdown to SoS Notebook converter
- spaemis — Produce a coherent set of emissions for regional air quality modelling
- st4sd-runtime-core — A tool for creating and deploying computational experiments
- stellargraph — Python library for machine learning on graphs
- stellargraph-mvisani — Python library for machine learning on graphs
- theflow — A simple framework to build and run flows
- treebeard — Run and schedule jupyter notebook projects in the cloud
- vectice — Vectice Python library
- vector — Vector classes and utilities
- versuchung — A toolbox for experiments
- voila — VoilĂ turns Jupyter notebooks into standalone web applications
- waldo-dev — Run any code on the cloud, instantly.
- wax-ml — A Python library for machine-learning and feedback loops on streaming data
- xaitk-saliency — Visual saliency map generation interfaces and baseline implementations for explainable AI.
- zocalo-dls — Standard components for automated data processing with Zocalo at Diamond Light Source
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