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Apache Superset is a Data Visualization and Data Exploration Platform
Home Page: https://superset.apache.org/
License: Apache License 2.0
Python 33.51%
CSS 0.14%
JavaScript 15.27%
Shell 1.10%
Mako 0.01%
HTML 1.02%
Smarty 0.02%
Dockerfile 0.04%
TypeScript 36.41%
Makefile 0.02%
Less 0.72%
Pug 0.02%
Jinja 0.03%
Jupyter Notebook 11.70%
superset's Introduction
- Master's CS student at Dalhousie University
- Doing Research on Improving Reading skills and Assessment through NLP and Machine Learning
- Published a Paper that's been accepted at a Top Conference ”Long‑form evaluation of model editing”
- Building internal dashboards for Dalhousie University as a Software Developer
- Fixing worthwhile OpenSource Projects that have gone stale.
- Worked with numerous startups and small businesses
- Worked as a Tech Lead with exceptional performance
- Made a Chrome extension for Color Blindness
- Found and failed at a startup (Cyberg)
Project Name |
Technologies Used |
Live Demo/Repo |
Role |
Neural Edge |
Python, SQLalchemy, PostgreSQL |
Website |
Core Developer |
Colorblind Mode Chrome Extension (ColorSight) |
Javascript, Chrome Extension APIs |
Link - Code |
Creator and Developer |
Tweet Sentiment Analyser Bot |
NLTK, MatPlotlib, Pandas, NumPy |
Code |
Core Developer |
Micro Frontends DataSharing |
React.js, Redux, JavaScript |
Code |
Developer |
Heartbeat |
JavaScript, GraphQL, Nodejs, PostgreSql |
Website |
Developer |
Awesome CV |
LaTeX |
Repo |
Contributor |
LimeSurvey |
jQuery, JavaScript, PHP |
link |
Contributor |
View all projects
Title |
Technologies/Topics |
Read Time |
Link |
Difference between useEffect, useMemo, and useCallback and when to use them in React? |
React, JavaScript, React-Hooks |
4 min read |
Read |
superset's People
Stargazers