Reverse Dependencies of dash-table

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

• aamp-app — AAMP App
• AIPyS — AI Powered Photoswitchable Screen
• autoplotter — Useful tool for GUI Based EDA
• biocwl-dash — Viewer for Mount Sinai IIDSGT Precision Oncology reports.
• buzz — Sophisticated corpus linguistics
• buzzword — Web-app for corpus linguistics
• capblood-seq-viz — Interactive visualization web app for capillary blood data
• dash-tokamak — Dash without the annoying bits. Main goals of this fork are (1) to enable Python to write state data to arbitrary component props, not just ones defined by a specific component; and (2) support React-style functional property values by binding unary functional expressions to the global application state, executing them whenever the property is accessed.
• dashstan — Dashboard for Stan MCMC simulations.
• dbmsbenchmarker — DBMS-Benchmarker is a Python-based application-level blackbox benchmark tool for Database Management Systems (DBMS). It connects to a given list of DBMS (via JDBC) and runs a given list of parametrized and randomized (SQL) benchmark queries. Evaluations are available via Python interface, in reports and at an interactive multi-dimensional dashboard.
• ddui — no summary
• DiffCapAnalyzer — A package for the quantitative analysis of differential capacity data!
• dtween — Digital Twin of an Organization realized with Action-Oriented Process Mining
• EtaML — An automated machine learning platform with a focus on explainability
• explainit — A modern, enterprise-ready business intelligence web application
• folioflex — A collection of portfolio tracking capabilities
• frat-brain — Application for ROI fMRI data analysis.
• genomes-attributes-viewer — Example application of fastsubtrees
• heidelberg-metadata-gui — Web graphical user interface for Metadata handling
• interpret-core — Fit interpretable machine learning models. Explain blackbox machine learning.
• IOGraph — Generate Plotly Graphs from IOZone Data
• leapfrog — Boost productivity by using a range of tools helping with ETL, modelling, reporting, and dashboards
• lohrasb — This versatile tool streamlines hyperparameter optimization in machine learning workflows.It supports a wide range of search methods, from GridSearchCV and RandomizedSearchCVto advanced techniques like OptunaSearchCV, Ray Tune, and Scikit-Learn Tune.Designed to enhance model performance and efficiency, it's suitable for tasks of any scale.
• magani — REST API testing software developed in pure Python
• microbiome-toolbox — Microbiome Toolbox
• MLapp1 — "MLapp"
• nerv — Neuroimaging Results Visualization
• ontology-processing — Climate Mind ontology processing code.
• OTPsy — Packages designed to detect outliers in Social and Human Sciences
• parade-server — A server module of parade
• pLAtYpus-TNO — The pLAtYpus model for engagement levels of stakeholders
• pygraphgpt — no summary
• pysts — Basic python utilities
• qualang-tools — The qualang_tools package includes various tools related to QUA programs in Python
• Rabbit-in-a-Blender — An ETL pipeline to transform your EMP data to OMOP.
• RTOC — RealTime OpenControl
• self-stats — Process Google Takeout data and visualize it using Dash.
• self-stats-app — Process Google Takeout data and visualize it using Dash.
• shapash — Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone.
• SpatialTools — spatial tools for S1000
• tcapy — Tranasction cost analysis library
• tshistory-editor — Web tool to edit time series
• ucbshift — UCBShift is a tool for predicting and visualizing chemical shifts of molecules.
• vizu — Visualization of data files
• xenon-lfp-analysis — Xenon LFP Analysis Platform