Savvy CSV is a business and a product of OnyxAILLC. We welcome open-source contributions, and your contributions could lead to potential hiring opportunities or equity, as we're always looking for help. To get started, address tickets/issues on Savvy CSV by following the download steps below. If you have questions on how to address issues, please post them in the issues thread. Need an API key to start development? Or if you have more of a business matter, please send inquiries to andersonlennox381(at)outlook.com.
- - - - "Your Branch"
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Main Branch---------Dev Branch---< - - - - - - - "John Doe's Branch"
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- - - - "Mary Kate's Branch"
- For Addressing Github Issues:
YourGithubUsername-nameOfIssue
- For General Development On Savvy: If the GitHub issue is not listed in the issues section and your development aims to help Savvy CSV as a whole, use the following naming convention:
YourGithubUsername-PersonalDevelopment
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Step 1: Clone the repository
git clone https://github.com/lennox55555/Savvy-CSV.git
Step 2: Navigate to the front-end directory
cd Savvy-CSV/front-end
Step 3: Install the dependencies
npm install
Step 4: Start the development server
npm run dev
By the end of this process you should be on a development server running locally.
Step 1: Clone the repository (if not already done)
git clone https://github.com/YourUsername/Savvy-CSV.git
Step 2: Navigate to the serverless back-end directory
cd Savvy-CSV/serverless-backend
Step 3: Install the dependencies
python3 -m venv venv
Step 4: Deploy or start the local development serve
source venv/bin/activate
Step 5: Install the required dependencies from requirements.txt
pip install -r requirements.txt
Step 6: Run the back-end server
python lambda_function.py
Step 1: Clone the repository (if not already done)
git clone https://github.com/lennox55555/Savvy-CSV.git
Step 2: Navigate to the testing directory
cd Savvy-CSV/testing
Step 3: Install the dependencies
python3 -m venv venv
Step 4: Run the tests
source venv/bin/activate
Step 5: Install the required dependencies from requirements.txt
pip install -r requirements.txt
Step 6: Run the tests
python test_script.py
- AI-Powered Data Compilation: Utilize AI to intelligently gather and structure data from various web sources into a coherent CSV format.
- Customizable Templates: Tailor your CSV files according to specific requirements with our user-friendly templates.
- Real-Time Data Extraction: Fetch the latest data in real-time from websites, ensuring up-to-date information in your CSV files.
- Seamless Integration: Effortlessly import your CSV files into common data analysis and visualization tools.
- Secure and Reliable: Prioritize data privacy and integrity with our secure scraping techniques.
- Sign Up/Login: Create an account or log in to access Savvy CSV's features.
- Specify Data Source: Enter the URLs of the websites you wish to scrape data from.
- Generate Your CSV: Click 'Generate' and let AI do the rest. Download your perfect CSV file.
- Download CSV File: Upon a press of a button, a CSV file belongs to you. The possibilities are endless!
Background: An experienced full-stack developer with a diverse educational background and extensive workforce experience, Lennox oversees the technical operations of Savvy CSV, ensuring seamless functionality and innovation across the platform.
Background: Jonah's background in computer science and finance brings significant value to Savvy CSV. His role as a software engineer demands expertise in full-stack development, encompassing back-end infrastructure, API development, front-end design, and user authentication.
Background: From developing models and testing to exploring new technologies, William plays a pivotal role in advancing Savvy CSV. His expertise ensures that our tools remain at the cutting edge of innovation, consistently delivering high-quality results.