Loading repository data…
SumitMahar / repository
Interactive Stock Dashboard - (NSE Data)
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
Major languages, frameworks and packages used:
To get a local copy up and running follow these simple example steps.
git clone https://github.com/SumitMahar/dash.git
pipenv install -r requirements.txt
app.py from command line with python
python app.py
Distributed under the MIT License. See LICENSE for more information.
https://nse-dashboard.herokuapp.com/
Email - Sumitmahar78@gmail.com
Project Link: https://github.com/sumitmahar/dash
Selected from shared topics, language and repository description—not editorial ratings.
rajdeepsen97 /
Advanced Stock Market Analysis Dashboard using Python, Streamlit, Power BI, Pandas, and Plotly for financial data visualization, trend analysis, volatility analysis, and interactive business intelligence reporting.
53/100 healthprathmesh2507 /
Interactive Global Stock Market Analytics Dashboard built using Python, YFinance, Pandas, Streamlit, and Plotly. Analyze 20+ countries and 400+ top stocks with advanced visualizations and financial insights.
66/100 healthdanrgonzalez /
Comprehensive Python-based stock data analysis tool with interactive dashboard for quarterly financial data visualization and comparison
34/100 healthmedisettigovindavani-collab /
Developed an interactive dashboard for Google stock trends using Python, ML & NLP. Applied ML algorithms for trend forecasting and NLP for sentiment analysis. Deployed a Streamlit web app for real-time data visualization
55/100 healthNBGamer99 /
This project uses Python and Streamlit to analyze and predict stock market trends. It includes data visualization, ETL processes, and machine learning-based predictions. The project integrates historical data, LSTM-based stock price forecasting, and features an interactive Power BI dashboard for enhanced data insights.
38/100 healthJomolJudit /
Extracting, processing, and visualizing historical stock & revenue data using yfinance and web scraping. Built interactive financial dashboards with Plotly for Tesla and GameStop. | Python | Pandas | BeautifulSoup | Plotly
46/100 health