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DANE - Data Automation and Network Emulation Tool

DANE is a hackable dataset generation tool to collect network traffic in a variety of configurable network conditions.

It runs on Windows, Mac, and Linux.

Table of contents

Why use DANE?

DANE provides two core functionalities:

  1. Automatically collect network traffic datasets in a parallelized manner

    Manual data collection for network traffic datasets is a long and tedious process—run the tool and you can easily collect multiple hours of data in one hour of time (magic!) with one or many desired 'user' behaviors.

  2. Emulate a diverse range of network conditions that are representative of the real world

    Data representation is an increasingly relevant issue in all fields of data science, but generating a dataset while connected to a fixed network doesn't capture diversity in network conditions—in a single file, you can configure DANE to emulate a variety of network conditions, including latency and bandwidth.

You can easily hack the tool to run custom scripts, custom data collection tools, and other custom software dependencies which support your particular research interest.

Documentation

For all documentation, including a quick start, details about the technical approach, and FAQs, please consult the website 📖.
https://dane-tool.github.io/dane

Contributing

See something you'd like improved? Better yet, have some improvements coded up locally you'd like to contribute?

We welcome you to submit an Issue or make a Pull Request detailing your ideas!

Acknowledgements

This project was originally created in affiliation with the Halıcıoğlu Data Science Institute's data science program at UC San Diego.
https://hdsi.ucsd.edu/, https://dsc-capstone.github.io/

DANE was motivated and developed with the generous support of Viasat.
https://viasat.com/

About

🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.

dane-tool.github.io/dane/

Topics

data-automationdata-collectiondataset-generationdockerispnetemnetwork-emulationnetwork-trafficnetwork-traffic-classificationnetwork-traffic-datasetspacket-capturepcaprepresentative-datatctraffic-classification

Resources

Readme
MIT license
Activity
Custom properties

Stars

4 stars

Watchers

3 watching

Forks

2 forks
Report repository

Used by

Contributors

Languages

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GitHub - dane-tool/dane: 🐳📡🐶 Generate network communication data for target tasks in diverse network conditions. · GitHub
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DANE - Data Automation and Network Emulation Tool
DANE is a hackable dataset generation tool to collect network traffic in a variety of configurable network conditions.
It runs on Windows, Mac, and Linux.
Table of contents
Why use DANE?
DANE provides two core functionalities:
  1. Automatically collect network traffic datasets in a parallelized manner
    Manual data collection for network traffic datasets is a long and tedious process—run the tool and you can easily collect multiple hours of data in one hour of time (magic!) with one or many desired 'user' behaviors.
  2. Emulate a diverse range of network conditions that are representative of the real world
    Data representation is an increasingly relevant issue in all fields of data science, but generating a dataset while connected to a fixed network doesn't capture diversity in network conditions—in a single file, you can configure DANE to emulate a variety of network conditions, including latency and bandwidth.
You can easily hack the tool to run custom scripts, custom data collection tools, and other custom software dependencies which support your particular research interest.
Documentation
For all documentation, including a quick start, details about the technical approach, and FAQs, please consult the website 📖.
https://dane-tool.github.io/dane
Contributing
See something you'd like improved? Better yet, have some improvements coded up locally you'd like to contribute?
We welcome you to submit an Issue or make a Pull Request detailing your ideas!
Acknowledgements
This project was originally created in affiliation with the Halıcıoğlu Data Science Institute's data science program at UC San Diego.
https://hdsi.ucsd.edu/, https://dsc-capstone.github.io/
DANE was motivated and developed with the generous support of Viasat.
https://viasat.com/
About
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
dane-tool.github.io/dane/
Topics
data-automationdata-collectiondataset-generationdockerispnetemnetwork-emulationnetwork-trafficnetwork-traffic-classificationnetwork-traffic-datasetspacket-capturepcaprepresentative-datatctraffic-classification
Resources
Readme
MIT license
Activity
Custom properties
Stars
4 stars
Watchers
3 watching
Forks
2 forks
Report repository
Used by
Contributors
Languages

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GitHub - dane-tool/dane: 🐳📡🐶 Generate network communication data for target tasks in diverse network conditions. · GitHub
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DANE - Data Automation and Network Emulation Tool
DANE is a hackable dataset generation tool to collect network traffic in a variety of configurable network conditions.
It runs on Windows, Mac, and Linux.
Table of contents
Why use DANE?
DANE provides two core functionalities:
  1. Automatically collect network traffic datasets in a parallelized manner
    Manual data collection for network traffic datasets is a long and tedious process—run the tool and you can easily collect multiple hours of data in one hour of time (magic!) with one or many desired 'user' behaviors.
  2. Emulate a diverse range of network conditions that are representative of the real world
    Data representation is an increasingly relevant issue in all fields of data science, but generating a dataset while connected to a fixed network doesn't capture diversity in network conditions—in a single file, you can configure DANE to emulate a variety of network conditions, including latency and bandwidth.
You can easily hack the tool to run custom scripts, custom data collection tools, and other custom software dependencies which support your particular research interest.
Documentation
For all documentation, including a quick start, details about the technical approach, and FAQs, please consult the website 📖.
https://dane-tool.github.io/dane
Contributing
See something you'd like improved? Better yet, have some improvements coded up locally you'd like to contribute?
We welcome you to submit an Issue or make a Pull Request detailing your ideas!
Acknowledgements
This project was originally created in affiliation with the Halıcıoğlu Data Science Institute's data science program at UC San Diego.
https://hdsi.ucsd.edu/, https://dsc-capstone.github.io/
DANE was motivated and developed with the generous support of Viasat.
https://viasat.com/
About
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
dane-tool.github.io/dane/
Topics
data-automationdata-collectiondataset-generationdockerispnetemnetwork-emulationnetwork-trafficnetwork-traffic-classificationnetwork-traffic-datasetspacket-capturepcaprepresentative-datatctraffic-classification
Resources
Readme
MIT license
Activity
Custom properties
Stars
4 stars
Watchers
3 watching
Forks
2 forks
Report repository
Used by
Contributors
Languages

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GitHub - dane-tool/dane: 🐳📡🐶 Generate network communication data for target tasks in diverse network conditions. · GitHub
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DANE - Data Automation and Network Emulation Tool
DANE is a hackable dataset generation tool to collect network traffic in a variety of configurable network conditions.
It runs on Windows, Mac, and Linux.
Table of contents
Why use DANE?
DANE provides two core functionalities:
  1. Automatically collect network traffic datasets in a parallelized manner
    Manual data collection for network traffic datasets is a long and tedious process—run the tool and you can easily collect multiple hours of data in one hour of time (magic!) with one or many desired 'user' behaviors.
  2. Emulate a diverse range of network conditions that are representative of the real world
    Data representation is an increasingly relevant issue in all fields of data science, but generating a dataset while connected to a fixed network doesn't capture diversity in network conditions—in a single file, you can configure DANE to emulate a variety of network conditions, including latency and bandwidth.
You can easily hack the tool to run custom scripts, custom data collection tools, and other custom software dependencies which support your particular research interest.
Documentation
For all documentation, including a quick start, details about the technical approach, and FAQs, please consult the website 📖.
https://dane-tool.github.io/dane
Contributing
See something you'd like improved? Better yet, have some improvements coded up locally you'd like to contribute?
We welcome you to submit an Issue or make a Pull Request detailing your ideas!
Acknowledgements
This project was originally created in affiliation with the Halıcıoğlu Data Science Institute's data science program at UC San Diego.
https://hdsi.ucsd.edu/, https://dsc-capstone.github.io/
DANE was motivated and developed with the generous support of Viasat.
https://viasat.com/
About
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
dane-tool.github.io/dane/
Topics
data-automationdata-collectiondataset-generationdockerispnetemnetwork-emulationnetwork-trafficnetwork-traffic-classificationnetwork-traffic-datasetspacket-capturepcaprepresentative-datatctraffic-classification
Resources
Readme
MIT license
Activity
Custom properties
Stars
4 stars
Watchers
3 watching
Forks
2 forks
Report repository
Used by
Contributors
Languages

, 'i');
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var __re = new RegExp('^' + "youtube\\.com" + '
GitHub - dane-tool/dane: 🐳📡🐶 Generate network communication data for target tasks in diverse network conditions. · GitHub
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BranchesTags
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DANE - Data Automation and Network Emulation Tool
DANE is a hackable dataset generation tool to collect network traffic in a variety of configurable network conditions.
It runs on Windows, Mac, and Linux.
Table of contents
Why use DANE?
DANE provides two core functionalities:
  1. Automatically collect network traffic datasets in a parallelized manner
    Manual data collection for network traffic datasets is a long and tedious process—run the tool and you can easily collect multiple hours of data in one hour of time (magic!) with one or many desired 'user' behaviors.
  2. Emulate a diverse range of network conditions that are representative of the real world
    Data representation is an increasingly relevant issue in all fields of data science, but generating a dataset while connected to a fixed network doesn't capture diversity in network conditions—in a single file, you can configure DANE to emulate a variety of network conditions, including latency and bandwidth.
You can easily hack the tool to run custom scripts, custom data collection tools, and other custom software dependencies which support your particular research interest.
Documentation
For all documentation, including a quick start, details about the technical approach, and FAQs, please consult the website 📖.
https://dane-tool.github.io/dane
Contributing
See something you'd like improved? Better yet, have some improvements coded up locally you'd like to contribute?
We welcome you to submit an Issue or make a Pull Request detailing your ideas!
Acknowledgements
This project was originally created in affiliation with the Halıcıoğlu Data Science Institute's data science program at UC San Diego.
https://hdsi.ucsd.edu/, https://dsc-capstone.github.io/
DANE was motivated and developed with the generous support of Viasat.
https://viasat.com/
About
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
dane-tool.github.io/dane/
Topics
data-automationdata-collectiondataset-generationdockerispnetemnetwork-emulationnetwork-trafficnetwork-traffic-classificationnetwork-traffic-datasetspacket-capturepcaprepresentative-datatctraffic-classification
Resources
Readme
MIT license
Activity
Custom properties
Stars
4 stars
Watchers
3 watching
Forks
2 forks
Report repository
Used by
Contributors
Languages

, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - dane-tool/dane: 🐳📡🐶 Generate network communication data for target tasks in diverse network conditions. · GitHub
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BranchesTags
Repository files navigation
DANE - Data Automation and Network Emulation Tool
DANE is a hackable dataset generation tool to collect network traffic in a variety of configurable network conditions.
It runs on Windows, Mac, and Linux.
Table of contents
Why use DANE?
DANE provides two core functionalities:
  1. Automatically collect network traffic datasets in a parallelized manner
    Manual data collection for network traffic datasets is a long and tedious process—run the tool and you can easily collect multiple hours of data in one hour of time (magic!) with one or many desired 'user' behaviors.
  2. Emulate a diverse range of network conditions that are representative of the real world
    Data representation is an increasingly relevant issue in all fields of data science, but generating a dataset while connected to a fixed network doesn't capture diversity in network conditions—in a single file, you can configure DANE to emulate a variety of network conditions, including latency and bandwidth.
You can easily hack the tool to run custom scripts, custom data collection tools, and other custom software dependencies which support your particular research interest.
Documentation
For all documentation, including a quick start, details about the technical approach, and FAQs, please consult the website 📖.
https://dane-tool.github.io/dane
Contributing
See something you'd like improved? Better yet, have some improvements coded up locally you'd like to contribute?
We welcome you to submit an Issue or make a Pull Request detailing your ideas!
Acknowledgements
This project was originally created in affiliation with the Halıcıoğlu Data Science Institute's data science program at UC San Diego.
https://hdsi.ucsd.edu/, https://dsc-capstone.github.io/
DANE was motivated and developed with the generous support of Viasat.
https://viasat.com/
About
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
dane-tool.github.io/dane/
Topics
data-automationdata-collectiondataset-generationdockerispnetemnetwork-emulationnetwork-trafficnetwork-traffic-classificationnetwork-traffic-datasetspacket-capturepcaprepresentative-datatctraffic-classification
Resources
Readme
MIT license
Activity
Custom properties
Stars
4 stars
Watchers
3 watching
Forks
2 forks
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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(function(){
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var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - dane-tool/dane: 🐳📡🐶 Generate network communication data for target tasks in diverse network conditions. · GitHub
Skip to content
BranchesTags
Repository files navigation
DANE - Data Automation and Network Emulation Tool
DANE is a hackable dataset generation tool to collect network traffic in a variety of configurable network conditions.
It runs on Windows, Mac, and Linux.
Table of contents
Why use DANE?
DANE provides two core functionalities:
  1. Automatically collect network traffic datasets in a parallelized manner
    Manual data collection for network traffic datasets is a long and tedious process—run the tool and you can easily collect multiple hours of data in one hour of time (magic!) with one or many desired 'user' behaviors.
  2. Emulate a diverse range of network conditions that are representative of the real world
    Data representation is an increasingly relevant issue in all fields of data science, but generating a dataset while connected to a fixed network doesn't capture diversity in network conditions—in a single file, you can configure DANE to emulate a variety of network conditions, including latency and bandwidth.
You can easily hack the tool to run custom scripts, custom data collection tools, and other custom software dependencies which support your particular research interest.
Documentation
For all documentation, including a quick start, details about the technical approach, and FAQs, please consult the website 📖.
https://dane-tool.github.io/dane
Contributing
See something you'd like improved? Better yet, have some improvements coded up locally you'd like to contribute?
We welcome you to submit an Issue or make a Pull Request detailing your ideas!
Acknowledgements
This project was originally created in affiliation with the Halıcıoğlu Data Science Institute's data science program at UC San Diego.
https://hdsi.ucsd.edu/, https://dsc-capstone.github.io/
DANE was motivated and developed with the generous support of Viasat.
https://viasat.com/
About
🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
dane-tool.github.io/dane/
Topics
data-automationdata-collectiondataset-generationdockerispnetemnetwork-emulationnetwork-trafficnetwork-traffic-classificationnetwork-traffic-datasetspacket-capturepcaprepresentative-datatctraffic-classification
Resources
Readme
MIT license
Activity
Custom properties
Stars
4 stars
Watchers
3 watching
Forks
2 forks
Report repository
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
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console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();
GitHub - dane-tool/dane: 🐳📡🐶 Generate network communication data for target tasks in diverse network conditions. · GitHub
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DANE - Data Automation and Network Emulation Tool
DANE is a hackable dataset generation tool to collect network traffic in a variety of configurable network conditions.
It runs on Windows, Mac, and Linux.
Table of contents
Why use DANE?
DANE provides two core functionalities:
  1. Automatically collect network traffic datasets in a parallelized manner
    Manual data collection for network traffic datasets is a long and tedious process—run the tool and you can easily collect multiple hours of data in one hour of time (magic!) with one or many desired 'user' behaviors.
  2. Emulate a diverse range of network conditions that are representative of the real world
    Data representation is an increasingly relevant issue in all fields of data science, but generating a dataset while connected to a fixed network doesn't capture diversity in network conditions—in a single file, you can configure DANE to emulate a variety of network conditions, including latency and bandwidth.
You can easily hack the tool to run custom scripts, custom data collection tools, and other custom software dependencies which support your particular research interest.
Documentation
For all documentation, including a quick start, details about the technical approach, and FAQs, please consult the website 📖.
https://dane-tool.github.io/dane
Contributing
See something you'd like improved? Better yet, have some improvements coded up locally you'd like to contribute?
We welcome you to submit an Issue or make a Pull Request detailing your ideas!
Acknowledgements
This project was originally created in affiliation with the Halıcıoğlu Data Science Institute's data science program at UC San Diego.
https://hdsi.ucsd.edu/, https://dsc-capstone.github.io/
DANE was motivated and developed with the generous support of Viasat.
https://viasat.com/
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🐳📡🐶 Generate network communication data for target tasks in diverse network conditions.
dane-tool.github.io/dane/
Topics
data-automationdata-collectiondataset-generationdockerispnetemnetwork-emulationnetwork-trafficnetwork-traffic-classificationnetwork-traffic-datasetspacket-capturepcaprepresentative-datatctraffic-classification
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