https://github.com/tushar2704/best-ever-streamlit-applications
101 Super Streamlit Applications-This interactive web application collection serves as a showcase of my data science and machine learning projects. With a passion for data-driven insights and a knack for creating engaging data applications, I am excited to present this portfolio as a demonstration of my skills and expertise.
https://github.com/tushar2704/best-ever-streamlit-applications
data datascience machinelearning python streamlit streamlit-tushar2704 tushar2704
Last synced: 9 days ago
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101 Super Streamlit Applications-This interactive web application collection serves as a showcase of my data science and machine learning projects. With a passion for data-driven insights and a knack for creating engaging data applications, I am excited to present this portfolio as a demonstration of my skills and expertise.
- Host: GitHub
- URL: https://github.com/tushar2704/best-ever-streamlit-applications
- Owner: tushar2704
- License: mit
- Created: 2023-01-01T14:20:32.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-06-11T03:40:23.000Z (over 1 year ago)
- Last Synced: 2025-09-14T14:56:42.161Z (about 1 month ago)
- Topics: data, datascience, machinelearning, python, streamlit, streamlit-tushar2704, tushar2704
- Homepage: https://tushar-aggarwal.com
- Size: 66.4 KB
- Stars: 7
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Best-Ever-Streamlit-Applications
## Project Previews
**[Project 1: Streamlit Magic Cheat Sheets](https://github.com/tushar2704/Streamlit-Magic-Cheat-Sheets)**
[](https://cheat-sheets.streamlit.app/)
In the scope of this project, I have meticulously crafted comprehensive cheat sheets encompassing all aspects of Streamlit within a single Streamlit application. These cheat sheets are available in English, Français, and Deutsch, ensuring accessibility for a diverse audience. The application comprises over 15,000 lines of code, featuring custom functions meticulously designed to elucidate the visual output of the code snippets. Additionally, a robust documentation framework has been established to provide users with clear insights and guidance throughout their interaction with the application.
---
**[Project 2: Stats Mosaic Streamlit](https://github.com/tushar2704/Stats-Mosaic-Streamlit)**
[](https://stats-mosaic-guide.streamlit.app/)
Stats-Mosaic-Streamlit is a comprehensive GitHub repository that aims to provide a growing collection of curated content and projects centered around statistics and its intersection with data science, machine learning, and artificial intelligence.
---
## [Project 3: Everyday Python Sheets](https://github.com/tushar2704/Everyday_Python)
[](https://everyday-python.streamlit.app/)
Everyday Python Sheets – your go-to resource for everyday Python cheat sheets, pro tips, interview questions, Python one-liners, and Python data structures. Whether you're a beginner looking to learn Python or an experienced developer seeking quick reference materials, this Streamlit application has got you covered.
## [Project 4: Superstore Sales Dashboard with Streamlit](https://github.com/tushar2704/Superstore-Sales-Dashboard-with-Streamlit)
Superstore Sales with Streamlit is a data visualization and analysis project that uses the Streamlit framework to create an interactive web application for exploring and analyzing sales data from a superstore. This project aims to provide an easy-to-use interface for users to gain insights into sales trends, Sales performance, product performance, Shippin analysis and Location analysis.
[](https://tushar2704-superstore-dashboard.streamlit.app/)
## Technologies Used
- [Streamlit](https://streamlit.io/): Streamlit is the backbone of this portfolio, enabling seamless integration of interactive data apps into a web interface.
- [Python](https://www.python.org/): Python is used for scripting and data analysis in all the projects showcased here.
- [Other Technologies]: Mention any other relevant technologies or libraries used in respective projects.
## Author
- [©2023 Tushar Aggarwal. All rights reserved](https://www.tushar-aggarwal.com/)
- [LinkedIn](https://www.linkedin.com/in/tusharaggarwalinseec/)
- [Medium](https://medium.com/@tushar_aggarwal)
- [Tushar-Aggarwal.com](https://www.tushar-aggarwal.com/)
- [X](https://twitter.com/TaggData)
- [Data Unboxed Newsletter](https://tadata.substack.com/)
- [HuggingFace](https://huggingface.co/tushar27)
- [DagsHub](https://dagshub.com/tushar27)
- [Hashnode](https://hashnode.com/@TAGG)
- [NovyPro](https://www.novypro.com/profile_projects/tusharagg)
- [New Kaggle](https://www.kaggle.com/tagg27)