Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
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Updated
Aug 28, 2020 - Python
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Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.
Open-source JavaScript charting library behind Plotly and Dash
Visualizer for pandas data structures
A collection of scripts and examples created while answering questions from the greater Dash community
Plotly Express - Simple syntax for complex charts. Now integrated into plotly.py!
Please checkout how the sample test cases in:
Get started with testing python
Write Professional Unit Tests in Python
Web Automation Tests with Selenium
Bootstrap components for Plotly Dash
An issue to collect data and tasks needed for adding binance
Decrease Callback/ Load Amount to 1 in #40
Analyze compatibility
Needed changes in Data call?
Needed changes in Data storage (Multiple times same pair e.g. "ETH-USD")
Discuss form of presentation
Original:Send all data to client, and hide/ show selection on clientside with js?
Update: Sending all data s
A First-Class Interactive DataTable for Dash
Sentiment Analysis application created with Python and Dash, hosted at socialsentiment.net
An Extension for the Interactive development of Dash apps in JupyterLab
Dash for R - An R interface to the Dash ecosystem for creating analytic web applications
Develop Dash apps in the Jupyter Notebook and JupyterLab
Hi,
It would be nice to have the capability to expand/collapse nodes similar to https://github.com/iVis-at-Bilkent/cytoscape.js-expand-collapse.
Thanks.
Boilerplate for bootstrapping scalable multi-page Dash applications
Interactive SVM Explorer, using Dash and scikit-learn
Get started creating your own Dash components here.
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
a machine learning dashboard that displays hyperparameter settings alongside visualizations, and logs the scientist's thoughts throughout the training process
Collection of scripts for data visualisation and good code practice.
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Most items coming from questions on the community forum
xref='paper'. Also the shapes and annotations tutorial should link to each other.