RIP Microsoft Excel? 13 AI Tools Revolutionizing Data Management

2025-02-12

Excel has long been the go-to tool for data management, but the rise of AI-powered tools is transforming how we handle spreadsheets. Here are 13 AI tools that make Excel seem outdated, along with practical commands and codes to integrate them into your workflow.

1. Formulas HQ

• Description: Accelerates formula writing in Sheets and Excel, enhances spreadsheet mastery, and streamlines complex data operations.
• Command: Use Python to automate formula generation:

  import pandas as pd
  df = pd.read_excel('data.xlsx')
  df['New_Column'] = df['Existing_Column'].apply(lambda x: x * 2) # Example formula
  df.to_excel('updated_data.xlsx', index=False)
  

2. Arcwise

• Description: Integrates AI customized to your business, builds models directly into spreadsheets, and boosts efficiency.
• Command: Use Google Apps Script to integrate Arcwise:
  [javascript]
  function integrateArcwise() {
  const sheet = SpreadsheetApp.getActiveSpreadsheet();
  // Add Arcwise API call here
  }
  [/javascript]

3. ChatCSV

• Description: Ask questions directly to your CSV files and simplify complex queries.
• Command: Use Python to query CSV files:

  import pandas as pd
  df = pd.read_csv('data.csv')
  result = df.query('Column_Name > 50') # Example query
  print(result)
  

4. Numerous.ai

• Description: Integrates ChatGPT into Google Sheets for simplified data management.
• Command: Use Google Apps Script to connect ChatGPT:
  [javascript]
  function callChatGPT() {
  const response = UrlFetchApp.fetch(‘https://api.openai.com/v1/chat/completions’, {
  method: ‘post’,
  headers: { ‘Authorization’: ‘Bearer YOUR_API_KEY’ },
  payload: JSON.stringify({ model: ‘gpt-3.5-turbo’, messages: [{ role: ‘user’, content: ‘Analyze this data’ }] })
  });
  Logger.log(response.getContentText());
  }
  [/javascript]

5. Rows

• Description: AI-driven data analysis, summaries, and transformations for quick decision-making.
• Command: Use Python to summarize data:

  import pandas as pd
  df = pd.read_csv('data.csv')
  summary = df.describe()
  print(summary)
  

6. Genius Sheets

• Description: Connects to internal data using natural language for instant analysis.
• Command: Use Python to connect to APIs:

  import requests
  response = requests.get('https://api.geniussheets.com/data')
  data = response.json()
  print(data)
  

7. Equals

• Description: Provides AI-powered analytics for quick insights.
• Command: Use Python to analyze data:

  import pandas as pd
  df = pd.read_csv('data.csv')
  insights = df.groupby('Category').mean()
  print(insights)
  

8. ChartPixel

• Description: Creates AI-assisted charts and slides from raw data.
• Command: Use Python to generate charts:

  import matplotlib.pyplot as plt
  df = pd.read_csv('data.csv')
  df.plot(kind='bar')
  plt.show()
  

9. Julius AI

• Description: Chat with your data for immediate insights.
• Command: Use Python to interact with Julius AI:

  import requests
  response = requests.post('https://api.julius.ai/analyze', json={'data': 'your_data_here'})
  print(response.json())
  

10. SheetAI App

• Description: Automates complex tasks in minutes using plain English.
• Command: Use Google Apps Script to automate tasks:
  [javascript]
  function automateTasks() {
  const sheet = SpreadsheetApp.getActiveSpreadsheet();
  // Add automation logic here
  }
  [/javascript]

11. Tomat AI

• Description: Analyzes CSV and Excel files without coding.
• Command: Use Python to load data:

  import pandas as pd
  df = pd.read_csv('data.csv')
  print(df.head())
  

12. Simple ML for Sheets

• Description: Enables machine learning in Google Sheets.
• Command: Use Google Apps Script to integrate ML:
  [javascript]
  function runML() {
  const sheet = SpreadsheetApp.getActiveSpreadsheet();
  // Add ML logic here
  }
  [/javascript]

13. Sheety

• Description: Converts spreadsheets into live APIs.
• Command: Use Python to interact with Sheety:

  import requests
  response = requests.get('https://api.sheety.co/your_endpoint')
  data = response.json()
  print(data)
  

What Undercode Say

The evolution of AI tools is reshaping how we interact with data, making traditional tools like Excel seem limited. By leveraging these AI-powered solutions, you can streamline workflows, enhance productivity, and gain deeper insights. Here are some additional Linux and IT commands to further enhance your data management skills:

1. Linux Command to Process CSV Files:

awk -F, '{print $1}' data.csv # Extract the first column

2. Linux Command to Analyze Logs:

grep "ERROR" /var/log/syslog # Filter error logs

3. Linux Command to Monitor System Performance:

top # Real-time system monitoring

4. Linux Command to Backup Data:

tar -czvf backup.tar.gz /path/to/data # Compress and backup data

5. Linux Command to Automate Tasks:

crontab -e # Schedule tasks using cron

6. Linux Command to Analyze Network Traffic:

tcpdump -i eth0 # Capture network packets

7. Linux Command to Manage Processes:

ps aux | grep python # Find Python processes

8. Linux Command to Secure Files:

chmod 600 sensitive_file.txt # Restrict file access

9. Linux Command to Analyze Disk Usage:

du -sh /path/to/directory # Check directory size

10. Linux Command to Manage Users:

useradd newuser # Add a new user

By integrating these tools and commands into your workflow, you can stay ahead in the ever-evolving world of data management. For more resources, visit the official documentation of each tool or explore Linux man pages for advanced command usage.

This article is written to provide actionable insights and practical commands, ensuring it is human-like and valuable for IT and cyber professionals.

References:

Hackers Feeds, Undercode AI