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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: 19 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 (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-06-11T03:40:23.000Z (7 months ago)
- Last Synced: 2024-06-11T04:36:51.139Z (7 months ago)
- Topics: data, datascience, machinelearning, python, streamlit, streamlit-tushar2704, tushar2704
- Homepage: https://tushar-aggarwal.com
- Size: 66.4 KB
- Stars: 5
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Best-Ever-Streamlit-Applications
![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54)
![Postgres](https://img.shields.io/badge/postgres-%23316192.svg?style=for-the-badge&logo=postgresql&logoColor=white)
![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B.svg?style=for-the-badge&logo=Streamlit&logoColor=white)
![Plotly](https://img.shields.io/badge/Plotly-3F4F75.svg?style=for-the-badge&logo=Plotly&logoColor=white)
![CSS](https://img.shields.io/badge/CSS3-1572B6.svg?style=for-the-badge&logo=CSS3&logoColor=white)
![HTML](https://img.shields.io/badge/HTML5-E34F26.svg?style=for-the-badge&logo=HTML5&logoColor=white)
![Render](https://img.shields.io/badge/Render-46E3B7.svg?style=for-the-badge&logo=Render&logoColor=white)
![Markdown](https://img.shields.io/badge/markdown-%23000000.svg?style=for-the-badge&logo=markdown&logoColor=white)
![MySQL](https://img.shields.io/badge/mysql-%2300f.svg?style=for-the-badge&logo=mysql&logoColor=white)
![Power Bi](https://img.shields.io/badge/power_bi-F2C811?style=for-the-badge&logo=powerbi&logoColor=black)
![Microsoft Excel](https://img.shields.io/badge/Microsoft_Excel-217346?style=for-the-badge&logo=microsoft-excel&logoColor=white)
![Microsoft PowerPoint](https://img.shields.io/badge/Microsoft_PowerPoint-B7472A?style=for-the-badge&logo=microsoft-powerpoint&logoColor=white)
![Visual Studio Code](https://img.shields.io/badge/Visual%20Studio%20Code-0078d7.svg?style=for-the-badge&logo=visual-studio-code&logoColor=white)
![Windows Terminal](https://img.shields.io/badge/Windows%20Terminal-%234D4D4D.svg?style=for-the-badge&logo=windows-terminal&logoColor=white)
![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge&logo=pandas&logoColor=white)
![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)
![Python](https://img.shields.io/badge/Python-3776AB.svg?style=for-the-badge&logo=Python&logoColor=white)
![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge&logo=pandas&logoColor=white)
![Supabase](https://img.shields.io/badge/Supabase-3FCF8E.svg?style=for-the-badge&logo=Supabase&logoColor=white)
![Canva](https://img.shields.io/badge/Canva-%2300C4CC.svg?style=for-the-badge&logo=Canva&logoColor=white)
![Microsoft Office](https://img.shields.io/badge/Microsoft_Office-D83B01?style=for-the-badge&logo=microsoft-office&logoColor=white)
![Microsoft Word](https://img.shields.io/badge/Microsoft_Word-2B579A?style=for-the-badge&logo=microsoft-word&logoColor=white)## Project Previews
**[Project 1: Streamlit Magic Cheat Sheets](https://github.com/tushar2704/Streamlit-Magic-Cheat-Sheets)**
[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](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.
![2](https://github.com/tushar2704/Streamlit-Magic-Cheat-Sheets/assets/66141195/dec7cf04-e0cc-45d7-8c8c-bec90d92a91a)
![Untitled design](https://github.com/tushar2704/Streamlit-Magic-Cheat-Sheets/assets/66141195/087cb3d6-b042-4f98-a07a-f66c1fd4c564)---
**[Project 2: Stats Mosaic Streamlit](https://github.com/tushar2704/Stats-Mosaic-Streamlit)**
[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](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.
![chrome_SNMStZzShw](https://github.com/tushar2704/Stats-Mosaic-Streamlit/assets/66141195/4646ef17-d37f-4111-835f-56787c948802)
---## [Project 3: Everyday Python Sheets](https://github.com/tushar2704/Everyday_Python)
[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](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.
![Untitled design1](https://github.com/tushar2704/Everyday_Python/assets/66141195/66cdd8ee-99f6-4c45-8336-5d346b9535ae)## [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.
[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](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)