Reverse Dependencies of ipykernel
The following projects have a declared dependency on ipykernel:
- sencha — Sencha is a Python package for directly translating RNA-seq reads into coding protein sequence.
- sending — Library for pub/sub usage within an async application
- senselab — Senselab is a Python package that simplifies building pipelines for speech and voice analysis.
- sepal-ui — Wrapper for ipyvuetify widgets to unify the display of voila dashboards in SEPAL platform
- separability — LLM Tools for looking at separability of LLM Capabilities
- seperability — Seperability of LLM Capabilities
- seppy — SEPpy
- sept — The Simple Extensible Path Template (sept) is a simple to configure templating system designed at relatively simple path translation or path generation from a dictionary of data.
- seqtools — A library for transparent transformation of indexable containers (lists, etc.)
- serialrobot — no summary
- seutil — Python utilities for SE research
- sf-grid — General Robot Intelligence Development platform.
- shallowpavlov — An open source library for building end-to-end dialog systems and training chatbots.
- shareddata — Shared Memory Database with S3 repository
- sheet — Tools to extract content from ipython (jupyter) notebooks
- shs-identification — no summary
- sidpy — Python utilities for storing, visualizing, and processing Spectroscopic and Imaging Data (SID)
- siesta-tools — Set of packages oriented to improve Density Functional Theory Analysis and manipulation of geometries.
- sigmaepsilon.plotting.mpl — Utilities for plotting with matplotlib.
- sigmaepsilon.plotting.plotly — Utilities for plotting with Plotly.
- simple-plugin-framework — A Simple Plugin Framework
- simpleSketch — Program Synthesis by Sketching
- simplex-assimilate — Perform Data Assimilation on the Simplex. Models an ensemble as a mixture of Dirichlet distributions.
- single-mol — A package to accompany the Single Molecule Counting Perspective.
- singletrader — a package for backtesting and factor analysis
- sinr — Build word and graph embeddings based on community detection in graphs.
- sirius — Simulation of Radio Interferometry from Unique Sources
- sjk — SJK: Some Jupyter Kernels.
- skimpy — skimpy
- sklearn-evaluation — scikit-learn model evaluation made easy: plots, tables andmarkdown reports.
- skriba — Messaging and logger module for astroVIPER, Dask based ecosystem.
- skyatc — no summary
- slack-ipython — A Python Slack bot through IPython
- sleap — SLEAP (Social LEAP Estimates Animal Poses) is a deep learning framework for animal pose tracking.
- SLKB — Analysis pipeline for Synthetic Lethality Knowledge Base
- smarts — no summary
- sme-contrib — Useful modules for use with sme (Spatial Model Editor)
- smmregrid — Regridding based on sparse matrix multiplication
- snguess — SNGuess
- snowflake-ice-pick — Snowpark extension to cover additional objects and higher level functions
- soakdb3 — Replacement for soakdb2, including a new database backend.
- sobolev-alignment — Sobolev alignment of deep probabilistic models for comparing single cell profiles
- soccer-xg — Train and analyse xG models on soccer event stream data
- solara-server — no summary
- solarfactors — 2D View Factor Model to calculate the irradiance incident on various surfaces of PV arrays
- solas-ai — A Python Library of Curated Disparity Testing Metrics for Use in Real-World Settings
- somap — Self-Organizing Maps in python
- SOMENDER — TBD
- sopa — Spatial-omics pipeline and analysis
- sorcha — The survey simulator post processing code for the LSST
- sos-notebook — Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis
- spadsim — This is a 2D Monte Carlo simulator written in Python to model the operation of single-photon avalanche detectors. It simulates the stochastic avalanche multiplication process of charge carriers following the absorption of an input photon; a successful detection event is defined as the avalanche current exceeding a pre-defined threshold. The simulator output can be used to analyse the photon detection efficiency and its timing characteristics. This program does not directly simulate dark noise.
- sparkdatachallenge — <Enter a one-sentence description of this project here.>
- sparkypandy — It's not spark, it's now pandas, it's just awkward...
- sparsecca — A full implementation of sparse CCA.
- specsanalyzer — Python package for loading and converting SPECS Phoibos analyzer data.
- speechwidgets — A library with Jupyter widgets for speech processing
- spgrep — On-the-fly generator of space-group irreducible representations
- spgrep-modulation — Collective atomic modulation analysis with irreducible space-group representation
- sphinx-k3d-screenshot — A directive to include K3D Jupyter's screenshots into a Sphinx document
- sphinx-tutorials — Tools for docs in Python
- sphinxbio — no summary
- sphynxml — no summary
- spline-basis — no summary
- sportran — Cepstral Data Analysis of current time series for Green-Kubo transport coefficients
- spotify-to-sqlite — Convert a Spotify export zip to a SQLite database
- spring-kernel — Jupyter kernel for SpringRTS
- springtime — Spatiotemporal phenology research with interpretable models
- sprof — A simple project framework to keep you from getting burned
- sptk — The Spectral Parameters Toolkit (SPTK) is a Python package for investigating the ability of a multispectral imaging system to identify distinct materials and material groups through differences in reflectance spectra.
- spVIPES — Shared-private Variational Inference with Product of Experts and Supervision
- spyder-kernels — Jupyter kernels for Spyder's console
- spyderwebb — JWST NIRSpec reduction software
- sqldbclient — A SQL client software package, mainly for use in Jupyter Notebook environment
- squishyplanet — A package for dealing with non-spherical exoplanets
- ssb-eimerdb — EimerDB
- ssb-fagfunksjoner — Fellesfunksjoner for ssb i Python
- ssb-ipython-kernels — Jupyter kernels for working with dapla services
- ssb-project-cli — SSB Project CLI
- sshkernel — SSH Kernel
- ssm-analyze — Analysis GUI for scanning SQUID microscopy
- ssspy — A Python toolkit for sound source separation.
- STACCI — STACCI for STCase
- stackview — Interactive image stack viewing in jupyter notebooks
- Starfysh — Spatial Transcriptomic Analysis using Reference-Free auxiliarY deep generative modeling and Shared Histology
- start-ocr — Applying pdfplumber + opencv + pytesseract to extract content and metadata from formal PDF files.
- stata-kernel — A Jupyter kernel for Stata. Works with Windows, macOS, and Linux. Preserves program state.
- statmechcrack — Statistical mechanical models for crack growth.
- statsplotly — Tidy API for statistical visualization with Plotly
- statute-utils — Philippine statutory law pattern matching and unit retrieval.
- steenroder — Computation of persistence Steenrod barcodes
- step-kit — STEP, an acronym for Spatial Transcriptomics Embedding Procedure, is a deep learning-based tool for the analysis of single-cell RNA (scRNA-seq) and spatially resolved transcriptomics (SRT) data. STEP introduces a unified approach to process and analyze multiple samples of scRNA-seq data as well as align several sections of SRT data, disregarding location relationships. Furthermore, STEP conducts integrative analysis across different modalities like scRNA-seq and SRT.
- StereoUtils — scanpy extra function for STOmics
- streamlit-chroma-connection — A streamlit connection for Chroma vectorstore
- streamlit-jupyter — Simple Python package to preview and develop streamlit apps in jupyter notebooks
- streetviewdownloader — A Python library and utility to download Google StreetView images
- strym-lite — A real time CAN data logging and visualization tool to work with USB-CAN Interface.
- study-gen — A tool to programmatically generate parametric studies.
- stuned — Utility code from STAI (https://scalabletrustworthyai.github.io/)
- substreams — WIP Substreams Python Adapter