🌐 DNS Benchmarking Tool

This project is a DNS benchmarking tool designed to evaluate the latency performance of multiple DNS servers (IPv4 and IPv6) across a wide range of domains. It uses dig (or optionally dnspython) to repeatedly query domains and report average, minimum, and maximum resolution times.

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📦 Requirements

Ensure the following Python packages are installed:

pip install pandas matplotlib tqdm numpy ipywidgets dnspython

All requirements are already satisfied in the Anaconda setup as shown in the logs.

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🚀 Features

• Tests DNS resolution times for 100+ popular domains
• Supports both IPv4 and IPv6 DNS servers
• Shows metrics: Average, Median, Min/Max, Standard Deviation
• Interactive plots using matplotlib
• Export results to dns_results.csv
• Can optionally read DNS servers and domain lists from a config.json file

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🔧 Setup

Ensure dig is installed and available in your system’s path.

🔹 On Windows, install BIND or WSL to use dig.

If you can't install dig, an alternate version using dnspython is also partially included (see bottom section of script).

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📁 Configuration

You can optionally define your own config file:

{
  "dns_servers": {
    "MyDNS IPv4": "123.45.67.89",
    "MyDNS IPv6": "2001:abcd::1"
  },
  "domains": ["example.com", "github.com", "openai.com"]
}

Save it as config.json and the script will use it automatically.

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🧪 How to Run

python dns_benchmark.py

Or inside Jupyter:

%matplotlib inline
!python dns_benchmark.py

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📊 Output

• CSV file: dns_results.csv
• Bar chart: Average latency for each DNS server
• Optional per-domain visualization (commented out in script)
• Console printout of Top 2 IPv4 and Top 2 IPv6 performers

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📈 Sample Visualizations

Bar charts showing the average response time of each DNS server:

• Overall average latency
• Per-domain latency breakdown (if enabled)

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🛠️ Notes

• The tool retries failed DNS queries with exponential backoff.
• Uses multithreading for speed using ThreadPoolExecutor
• Adjust TRIES, MAX_RETRIES, and TIMEOUT at the top of the script if needed.

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🧠 Future Improvements

• Full GUI using ipywidgets
• Interactive filtering/sorting
• GeoIP integration for regional testing

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📝 License

This project is free to use and modify. Attribution is appreciated.