1. Uploading Your CSV File

1. Navigate to the O365 User Filter web application.
2. Click on the “Upload CSV” button.
3. Select your Office 365 user export CSV file from your device.

2. Applying Filters

1. Once the CSV is uploaded, navigate to the “Filters” section.
2. Select the criteria you wish to filter by, such as Active, Licensed, or Sign-In Blocked.
3. Click on “Apply Filters” to see the filtered results.

3. Customizing Columns

1. Go to the “Columns” tab.
2. Check or uncheck the columns you want to display in your filtered data.
3. Your view will update in real-time based on your selections.

4. Exporting Data

1. After applying your desired filters and customizing columns, navigate to the “Export” section.
2. Select your preferred export format: CSV, TXT, or PDF.
3. Click on the “Export” button to download your filtered data.

5. Managing Settings

• Access additional settings through the application’s menu to customize behavior and preferences.
• Enable features like dark mode for a personalized user experience.

• Programming Language: JavaScript (React)
• Framework: React.js
• Backend: Node.js with Express
• Version: 1.0.0
• License: MIT License

Building from GitHub

1. Clone the Repository:

   git clone https://github.com/TSTP-Enterprises/TSTP-O365_User_List_Filter.git
   cd O365-User-Filter

2. Install Dependencies:

   Ensure you have Node.js installed. Install the required packages using npm:

   npm install

3. Run the Application:

   Start the development server:

   npm start

   The application will be available at http://localhost:3000.

4. Build for Production:

   Create an optimized production build:

   npm run build

O365 User Filter was developed to address the need for efficient and precise user data management within Office 365 environments. Administrators often struggle with managing large user lists, applying consistent filters, and exporting data for reporting or compliance purposes.

Development Process:

1. Requirement Analysis: Identified key functionalities required by Office 365 administrators, such as advanced filtering, customizable views, and secure data handling.
2. Design: Created an intuitive user interface that allows for easy navigation and quick access to essential features.
3. Implementation: Utilized React.js for a responsive frontend and Node.js with Express for backend data processing, ensuring a seamless user experience.
4. Testing: Conducted extensive testing with real Office 365 data to ensure accuracy, reliability, and performance under various scenarios.
5. Deployment: Deployed the web application using cloud services for scalability and accessibility.

Why It Was Made:

The primary goal was to create a tool that simplifies the complexities of managing Office 365 user data. By automating filtering and exporting processes, O365 User Filter reduces administrative overhead, minimizes errors, and enhances data accessibility for reporting and analysis.

We welcome contributions to enhance O365 User Filter! Whether it’s reporting a bug, suggesting a feature, or submitting a pull request, your input is invaluable.

1. Fork the Repository: Click the Fork button at the top-right corner of the repository page.
2. Create a Feature Branch:

   git checkout -b feature/YourFeature

3. Commit Your Changes:

   git commit -m "Add YourFeature"

4. Push to the Branch:

   git push origin feature/YourFeature

5. Open a Pull Request: Navigate to the repository on GitHub and click New Pull Request.

For detailed guidelines, refer to our Contributing Guidelines.

Your support helps us maintain and improve O365 User Filter. As a free and open-source tool, donations help cover development costs and ensure the project remains sustainable.

If you find this tool valuable, please consider supporting us via PayPal.

Your contributions are greatly appreciated and help us continue providing this essential tool to the community.

This project is licensed under the MIT License.

O365 User Filter is open-source, free to use, and does not offer any packages, plans, or additional services.

• Official Website: TSTP Solutions
• GitHub Organization: TSTP-Enterprises
• LinkedIn: TSTP LinkedIn
• YouTube Channel: (TSTP) YourPST Studios
• Facebook Page: TSTP Solutions
• GitHub Repository: O365-User-Filter
• Software Page: O365 User Filter Software
• Download Link: Download O365 User Filter

A heartfelt thank you to all the users who have supported O365 User Filter. Your feedback and encouragement drive us to continuously improve and provide the best possible tool for managing Office 365 user data.