Difference between revisions of "Brunnhilde"

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m (Update purpose)
m (Update Github links)
 
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|purpose=Siegfried-based characterization of directories and disk images
 
|purpose=Siegfried-based characterization of directories and disk images
 
|image=Brunnhilde.png
 
|image=Brunnhilde.png
|homepage=https://github.com/timothyryanwalsh/brunnhilde
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|homepage=https://github.com/tw4l/brunnhilde
 
|license=MIT License
 
|license=MIT License
 
|platforms=Linux, macOS, OS X
 
|platforms=Linux, macOS, OS X
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== Description ==
 
== Description ==
 
<!-- Describe the what the tool does, focusing on it's digital preservation value. Keep it factual. -->
 
<!-- Describe the what the tool does, focusing on it's digital preservation value. Keep it factual. -->
Brunnhilde is a command-line utility that runs Siegfried against a specified directory or disk image, loads the results into a sqlite3 database, and queries the database to generate reports to aid in triage, arrangement, and description of digital archives. The program will also check for viruses unless specified otherwise, and will optionally run bulk_extractor against the given source. Reports include CSVs, a tree, and a human-readable HTML summary of the directory or disk image. All outputs are placed into a new directory named after the identifier passed to Brunnhilde as the last argument. Brunnhilde is also capable of exporting files from logical disk images utilizing many file systems, including HFS+.
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Brunnhilde is a command-line utility that runs Siegfried against a specified directory or disk image, loads the results into a sqlite3 database, and queries the database to generate reports to aid in triage, arrangement, and description of digital archives. The program will also check for viruses unless specified otherwise, and will optionally run bulk_extractor against the given source. Reports include CSVs, a tree report, and a human-readable HTML summary of the directory or disk image. All outputs are placed into a new directory named after the identifier passed to Brunnhilde as the last argument. Brunnhilde is also capable of exporting files from logical disk images utilizing many file systems, including HFS+.
  
Dependencies include Python (tested in 2.7 and 3.5), Siegfried, ClamAV, bulk_extractor, Sleuth Kit, and HFSExplorer. Nearly all dependencies already installed and compiled in Bitcurator.
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Dependencies include Python (tested in 2.7 and 3.4+), Siegfried, ClamAV, bulk_extractor, Sleuth Kit, and HFSExplorer. All dependencies already installed and compiled in the BitCurator environment.
  
To install the command-line utility with pip: "sudo pip install brunnhilde".
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To install the command-line utility with pip: "pip install brunnhilde".
  
For a GUI wrapper for Brunnhilde, see the [https://github.com/timothyryanwalsh/brunnhilde-GUI Brunnhilde GUI Github repo].
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For a GUI wrapper for Brunnhilde, see the [https://github.com/tw4l/brunnhilde-GUI Brunnhilde GUI Github repo].
  
 
== User Experiences ==
 
== User Experiences ==
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== Development Activity ==
 
== Development Activity ==
 
<!-- Provide *evidence* of development activity of the tool. For example, RSS feeds for code issues or commits. -->
 
<!-- Provide *evidence* of development activity of the tool. For example, RSS feeds for code issues or commits. -->
All development activity is visible on GitHub: http://github.com/timothyryanwalsh/brunnhilde/commits
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All development activity is visible on GitHub: http://github.com/tw4l/brunnhilde/commits
 
   
 
   
 
   
 
   
 
=== Release Feed ===
 
=== Release Feed ===
 
Below the last 3 release feeds:
 
Below the last 3 release feeds:
<rss max=3>https://github.com/timothyryanwalsh/brunnhilde/releases.atom</rss>
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<rss max=3>https://github.com/tw4l/brunnhilde/releases.atom</rss>
 
    
 
    
 
   
 
   
 
=== Activity Feed ===
 
=== Activity Feed ===
 
Below the last 5 commits:
 
Below the last 5 commits:
<rss max=5>https://github.com/timothyryanwalsh/brunnhilde/commits/master.atom</rss>
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<rss max=5>https://github.com/tw4l/brunnhilde/commits/master.atom</rss>
 
   
 
   
 
{{Infobox_tool_details
 
{{Infobox_tool_details
 
|ohloh_id=
 
|ohloh_id=
 
}}
 
}}

Latest revision as of 13:48, 30 January 2020



Brunnhilde
Siegfried-based characterization of directories and disk images
Homepage:https://github.com/tw4l/brunnhilde
License:MIT License
Platforms:Linux, macOS, OS X



Contents

[edit] Description

Brunnhilde is a command-line utility that runs Siegfried against a specified directory or disk image, loads the results into a sqlite3 database, and queries the database to generate reports to aid in triage, arrangement, and description of digital archives. The program will also check for viruses unless specified otherwise, and will optionally run bulk_extractor against the given source. Reports include CSVs, a tree report, and a human-readable HTML summary of the directory or disk image. All outputs are placed into a new directory named after the identifier passed to Brunnhilde as the last argument. Brunnhilde is also capable of exporting files from logical disk images utilizing many file systems, including HFS+.

Dependencies include Python (tested in 2.7 and 3.4+), Siegfried, ClamAV, bulk_extractor, Sleuth Kit, and HFSExplorer. All dependencies already installed and compiled in the BitCurator environment.

To install the command-line utility with pip: "pip install brunnhilde".

For a GUI wrapper for Brunnhilde, see the Brunnhilde GUI Github repo.

[edit] User Experiences

[edit] Development Activity

All development activity is visible on GitHub: http://github.com/tw4l/brunnhilde/commits


[edit] Release Feed

Below the last 3 release feeds: Failed to load RSS feed from https://github.com/tw4l/brunnhilde/releases.atom: Error fetching URL: error:1407742E:SSL routines:SSL23_GET_SERVER_HELLO:tlsv1 alert protocol version


[edit] Activity Feed

Below the last 5 commits: Failed to load RSS feed from https://github.com/tw4l/brunnhilde/commits/master.atom: Error fetching URL: error:1407742E:SSL routines:SSL23_GET_SERVER_HELLO:tlsv1 alert protocol version


Contributors

Chlara (21.0%), Timothyryanwalsh (79.0%)