Data Search App
An application for searching, analyzing, screening and visualizing financial and economic data from multiple sources such as FRED, Eurostat, World Bank, and Yahoo Finance. The app enables creating reports, generating dynamic charts, and exporting results to Excel and PDF files.
Features
-
Data Search:
- Search macroeconomic indicators from FRED (Federal Reserve Economic Data).
- Retrieve stock market data and fundamentals via Yahoo Finance.
- Explore statistical datasets from Eurostat.
- Access global development indicators from the World Bank.
-
Data Export:
- Save search results as Excel spreadsheets or PDF reports.
- Generate detailed financial reports for selected datasets.
-
Data Visualization:
- Create dynamic, interactive charts for financial data.
- Choose specific countries, indicators, or date ranges for detailed analysis.
-
Favorites Management:
- Save frequently used indicators to a "Favorites" section for quick access.
-
Stock Screening:
- Search all stocks by specific requirements like beta, dividends, PE ratio.
System Requirements
- Python: Version 3.8 or newer.
- Operating System: Works on Windows, macOS, and Linux.
- Dependencies: Install required Python libraries listed in
requirements.txt.
Installation and Setup
To install and run the application, clone the repository using:
git clone https://github.com/Siatek98/data_search_engine.git
cd data_search_engine
Install the required dependencies:
pip install -r requirements.txt
Start the application:
python main.py
Alternatively you can just open your notebook and write:
pip install data-search-engine
from data_search_engine import run_app
run_app()
Your credentials and favorites will be stored in app_settings.json in folder with where your packagge is installed. To find the path our you can use:
pip show data_search_engine
You will need API keys for the following services:
When the application launches, it will prompt you to enter these API keys. Once saved, the application will remember your keys for future use.
Screenshots
-
Main Window:
-
Charts:
-
Economic Data Chart:
-
Fundamentals data:
Future Development
Planned features include:
- Automatic Data Fetching: Schedule regular updates for selected datasets.
- Additional Data Sources: Expand support to include IMF, Eikon, and other APIs.
- Database Integration: Allow data storage and retrieval from SQL and MongoDB.
- Custom Indicators: Create user-defined metrics and calculations using downloaded data.
Support
If you encounter any issues, have questions, or want to suggest improvements, please:
- Create an issue in the GitHub repository.
- Contact me via email at
tomeksiat@gmail.com.
License
This project is licensed under the MIT License. You are free to use, modify, and distribute this project as long as proper credit is given.
Metadata
Release files for data-search-engine 1.1.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| data-search-engine-1.1.3.tar.gz | 26.4 kB | Without provenance | Details for data-search-engine-1.1.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| data_search_engine-1.1.3-py3-none-any.whl | Python 3 | none | any | Details for data_search_engine-1.1.3-py3-none-any.whl |
Total release size: 51.5 kB
Release files / data-search-engine-1.1.3.tar.gz
| Download URL | data-search-engine-1.1.3.tar.gz |
|---|---|
| Size | 26.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.0.1 CPython/3.11.9
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Release files / data_search_engine-1.1.3-py3-none-any.whl
| Download URL | data_search_engine-1.1.3-py3-none-any.whl |
|---|---|
| Size | 25.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.0.1 CPython/3.11.9
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