Reverse Dependencies of jupyter-dash

The following projects have a declared dependency on jupyter-dash:

• algodata — Tools for interacting with financial timeseries for algorithmic trading
• AMLBID — Transparent and Auto-explainable AutoML
• ammico — AI Media and Misinformation Content Analysis Tool
• arbitragelab — ArbitrageLab is a collection of algorithms from the best academic journals and graduate-level textbooks, which focuses on the branch of statistical arbitrage known as pairs trading. We have extended the implementations to include the latest methods that trade a portfolio of n-assets (mean-reverting portfolios).
• autoplotter — Useful tool for GUI Based EDA
• bccr — Herramientas para descargar datos del Banco Central de Costa Rica
• codewit-semeru — Code What-If-Tool
• dash-oop-components — small library for OOP dashboard building blocks
• demcompare — A tool to compare Digital Elevation Models
• deta-hub — Note Demo
• eDisGo — A python package for distribution network analysis and optimization
• ePSproc — Post-processing suite for ePolyScat calculations (Matlab & Python).
• explainerdashboard — Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
• folioflex — A collection of portfolio tracking capabilities
• fqa-web-app — The web app and UI for FeedbackQA.
• gmlutil — General Machine Learning Utility Package
• islets — no summary
• jdvv — Jupyter Dash Viewer for VTK
• JupyterReviewer — A general tool to create dashboards for manual review
• kindergarten — Kindergarten is a UI on top of Plotly to easily visualize Pandas DataFrames.
• krisi — Testing and Reporting framework for Time Series Analysis
• lightcone — A framework to explore the latent space of autoencoders implemented in torch
• macrodemos — Demo programs to learn macroeconomics and macro-econometrics concepts
• MLVisualizationTools — A set of functions and demos to make machine learning projects easier to understand through effective visualizations.
• mlxplain — An open platform for accelerating the development of eXplainable AI systems
• omnicloud-dash — Preconfigured Plotly Dash for Omnicloud
• omnixai — OmniXAI: An Explainable AI Toolbox
• omnixai-community — OmniXAI: An Explainable AI Toolbox
• plotly-resampler — Visualizing large time series with plotly
• plutus-backtest — plutus is a python package for backtesting investment decisions using Python 3.6 and above.
• pyquac — Useful tools for quantum computing experiments, provided for BMSTU FMN
• quantfreedom — I don't want to put a description here, so I wont
• rdv — Raymon Data Validation Package.
• sanstylex — Dive into Python.
• sanstylex-demo — Dive into Python.
• sfr-pyrca — PyRCA: A Python library for Root Cause Analysis
• skorecard — Tools for building scorecard models in python, with a sklearn-compatible API
• slisemap_interactive — Interactive plots for Slisemap using Dash
• SpatialTools — spatial tools for S1000
• spectrafit — Fast fitting of 2D- and 3D-Spectra with established routines
• statsassume — Automating Assumption Checks for Regression Models
• tcapy — Tranasction cost analysis library
• timexseries-clustering — TIMEX-CLUSTERING is a framework for time-series-clustering-as-a-service
• tisane — no summary
• toloka-kit — Toloka API client
• trt-engine-explorer — NVIDIA's experimental tool to explore TRT engines
• truera — Truera Python SDK.
• tslumen — A library for Time Series exploratory data analysis
• tsma — (time series model analyses) This package offers tools for analyzing models that generate multivariate time series as output.
• visionz — vision
• xash — Data Science, Data Analysis, Plotting, ...
• yopo — You Plot Only Once