The interactive graphing library for Python ✨
-
Updated
May 29, 2025 - Python
The interactive graphing library for Python ✨
DAG based BI-as-code CLI tool. Unlocks a better approach data visualization that integrates seamlessly into the modern data stack.
Analyzed and visualized earth surface temperature data provided by Berkeley Earth
Sample example to use Dash python framework for IoT Dashboard Design
🔎 A Plagiarism Detector for C++, Python and text files
Product dashboard for MoJ products
Online feedback portal is a medium through which students can give feedback to professors based on their teaching, assignments, and other skills. Professors can see these reviews and it will encourage them to understand problems of students better and adapt themselves in a way that is helpful for all.
A light weight Linux Performance Graphical Analysis using Python, Javascript and Plotly
The Unbreakable Project is a working prototype of predictive maintenance, a branch of the Industry 4.0.
This application predicts the risk of crop disease based on the entered crop details.
Flask coupled with plotlyjs to render barchart on webpage
Create a Flask App Showcasing an Interactive Dashboard Built by Plotly.js
Full-stack template web application using Python-Flask, React.js/REDUX and sqlite3 database placeholder - Ideal starting point for data science/visualisation projects that integrate IoT devices, machine/deep learning and cloud/web based 'single-page' interfaces for responsive control & analysis.
Online feedback portal is a medium through which students can give feedback to professors based on their teaching, assignments, and other skills. Professors can see these reviews and it will encourage them to understand problems of students better and adapt themselves in a way that is helpful for all.
Building an interactive dashboard that analyzes the belly button biodiversity data set by using the Plotly JavaScript Libary
Undegraduate Major Project Data Visualization
A web app to plot graphs from Python and R scripts
Add a description, image, and links to the plotlyjs topic page so that developers can more easily learn about it.
To associate your repository with the plotlyjs topic, visit your repo's landing page and select "manage topics."