Convert Apple Property List to XML

As we all know that plist file extension is associated mainly with Mac OS X and iOS, but is also used in NeXTSTEP, and GNUstep programming frameworks. 

A file with the plist file extension is a property file, a XML file using Apple’s plist DTD. Plist stands for Property List, and refers to the fact that *.plist files typically hold lists of properties. 

*.plist files are a standard part of OS X Core Foundation, so you’ll find them used by many OSX native applications. 
You can edit *.plist files using a text editor, or Apple’s PropertyListEditor, found on the Developer CD or on Apple’s web site. 

Example of code in Apple's property list file: 





pages-trunk-20080703_5 
pages-trunk-20080707_3 
pages-trunk-20080904_1 
5B54 

Plist files contain preference specifics and properties relevant to a particular application or portion of Mac OS X system software. Depending on where the plist file is located and what function they serve, they can either be in XML format, binary format, and sometimes even json. 

For users who need to modify a plist file or convert the file format to or from XML and binary, you can do so easily with the help of the Datastorm. 

Just like what people need a help: 

Is there any easy way (other than writing code) to convert a numbers (could be .csv) file into a .plist? 

when I try to open the file in propertylist editor it compains that "string is empty - could not be converted" 

Is this even a smart thing to do? 

I'm thinking of including this as a resource file with a distribution - would this be too big and unwieldy? ie; is it time to move to sqlite or coredata? 

Convert your plist file to csv with the following supported softwares. 

Need to convert some files? If you are a student, a public servant or business owner, you will need to share files of all kinds. Having a need to convert a file quickly under pressure is common these days. Don’t waste time – use Datastorm to convert files FAST! 

Datastorm is a convert tool designed to let you convert files quickly, lets you change document formats. It’s your go-to utility for getting things done. 

 

DataStorm Features:
  • Convert between JSON, XML, CSV, PLIST,.properties(java) and YML (YAML) , from one format to another.
  • Multi-language support ( Translate by TryToTranslate).
  • Batch conversion.
  • Convert formats between JSON XML INI CSV YAML PROPERTIES PLIST. Load from File and Convert to File.


[size="small"]Wonderful things people are saying about DataStorm 

"DataStorm is stunning. Simple. Clean. Perfect. Well done." 

--Leopold, Technology Evangelist 

"DataStorm is what I do pretty much all of my working. It's a great little app." 

--Jesse, PHP Framework Designer 

"If you have any interest in barcode, DataStorm is definitely worth a download." 

--Glen, Web Developer and Designer 

"I really like DataStorm, has brought much convenience for my work." 

--Caspar, JAVA Framework Developer 


How to Change data format (supports Windows, Linux and MacOSX) 


Mac Version win Version Liunx Version


  

JSON to CSV: Transcode JSON to CSV Offline with Best Data Tool



JSON (JavaScript Object Notation) is a lightweight format that is used for data interchanging. It is also a subset of JavaScript’s Object Notation (the way code objects are built in JavaScript). 

An example of where this is used is web services responses. In the ‘old’ days, web services used XML as their primary data format for transmitting back data, but since JSON appeared (The JSON format is specified in RFC 4627 by Douglas Crockford), it has been the preferred format because it is much more lightweight 

json is built on two structures: 

A collection of name/value pairs. In various languages, this is realized as an object, record, struct, dictionary, hash table, keyed list, or associative array. 
An ordered list of values. In most languages, this is realized as an array, vector, list, or sequence. 

Example 

“firstName”: “John”, 
“lastName”: “Smith”, 
“address”: { 
“streetAddress”: “21 2nd Street”, 
“city”: “New York”, 
“state”: “NY”, 
“postalCode”: 10021 
}, 
“phoneNumbers”: [ 
“212 555-1234”, 
“646 555-4567” 



Short for Comma-separated values, CSV is tabular data that has been saved as plaintext data separated by commas. 

For example, if you had a table similar to the below example, that data would be converted to the data shown below the table.
Data1Data2Data3
Example1Example2Example3
Example1Example2Example3


CSV Data: 

Data1,Data2,Data3 
Example1,Example2,Example3 
Example1,Example2,Example3 

Why are CSV files used? 

There are two primary reasons CSV files are used online. 

CSV files are plain-text files, which makes them easy for the website developer to create. 

Because the CSV is plain-text it makes the data easy to import into any Spreadsheet program or database regardless of what type of computer or software program you are using. 

How to convert json files to csv? 

DataStorm is an professional tool to convert Complex JSON Data to Simpler CSV format, as of now CSV format is used by maximum word processors for import/export. If you are having any trouble converting JSON data to CSV, or you have very complex JSON and want to process it, you just need to get the help from DataStorm, so you are at right place. 

 

DataStorm Features:
  • Convert between JSON, XML, CSV, PLIST,.properties(java) and YML (YAML) , from one format to another.
  • Multi-language support ( Translate by TryToTranslate).
  • Batch conversion.
  • Convert formats between JSON XML INI CSV YAML PROPERTIES PLIST. Load from File and Convert to File.


Wonderful things people are saying about DataStorm 

“DataStorm is stunning. Simple. Clean. Perfect. Well done.” 

–Leopold, Technology Evangelist 

“DataStorm is what I do pretty much all of my working. It’s a great little app.” 

–Jesse, PHP Framework Designer 

“If you have any interest in barcode, DataStorm is definitely worth a download.” 

–Glen, Web Developer and Designer 

“I really like DataStorm, has brought much convenience for my work.” 

–Caspar, JAVA Framework Developer 

 



Src 
JSON to CSV: Transcode JSON to CSV Offline with Best Data Tool 

XML to CSV: Best Free Online XML to CSV Converters

What is XML and CSV? 

XML is a document markup language, and is used for representation of data structures, as used in web services. XML is often used for exchange of data over the internet. 

CSV files are used to store tabular data such as texts & numbers as plane text. The tabular data are separated either by commas, or other characters. It is widely used in various technical fields, as its really helps to move tabular data between programs. 

Here is the List Of 6 Best Free Online XML to CSV Converters: 

XMLgrid.net 

 

XMLgrid.net is an online XML editor, which is available to be used for free. XML to CSV conversion can be achieved quite easily here. Either you have to upload the XML file, or the URL of the website. Set the output format to CSV, and other advanced priorities. Process the XML file, and you will be able to view the converted CSV file in the output box. You can also save the output file to your device. This online tool is a XML editor, viewer, and converter. It is capable of converting XML files into different formats, such as CSV, Text, XSD, etc. You can also convert files like CSV, XSD, and Excel to XML. The converters work smoothly, and without any flaw. There is an additional text at the bottom of the converter to help you with the conversion, and using the advanced options. 

ConvertCSV.com 

 

ConvertCSV.com is a website dedicated to CSV format. It deals with conversion of CSV files to other formats, and vice versa. To covert a XML file into CSV, you will need to browse and select the XML file, you can directly enter an URL, or you can paste the Text into the Text Box. Click on the Convert button, to get an output in the output box. Save the CSV file to your device. You can also use the advanced options for a custom output file. For example, instead of commas in CSV, you can use semicolon, colon, bar, tab, etc. Wrapping option is also available for the conversion. The other tools on this webpage include CSV to JSON, KML, SQL, XML, Flat Line, and JSON, KML, SQL, XML, Flat Line to CSV converters. 

Watermark-images.com 

 

Watermark-images.com is primarily a website to add batch watermark to photos, but it also carries out different form of file conversions as well. You can execute XML to CSV conversion easily on this website. Select an XML file from your device. Hit Convert to CSV button, to get an output CSV file. Save the CSV on your system. This website carries out the XML to CSV conversion very accurately. If you are having a hard time converting the files, you can always go to the video tutorial section, and learn how to carry out conversions, and other operations on this website. It carries out other conversions as well, such as PSD to JPG, PNG to JPG, RAR to ZIP, Excel to PDF, Excel to HTML, and much more. 

Flame-ware.com 

 

Flame-ware.com deals with research & development of web based systems. You can also convert an XML file to CSV format on this website. All you have to do is choose an XML file via file explorer, and press the Convert button. It starts performing the conversion; save the CSV file to a desired location on your device. The output file is nicely formatted, with no error at all. This tool is completely free to use. This website has another converter as well. This converter changes XML file to XSD format for free. It also has a web crawler tool which generates Google and yahoo adjusted sitemaps. 

Luxonsoftware.com 

 

Luxonsoftware.com has to offer free XML conversion tools. One of the tools lets you convert XML file into CSV format. Browse and upload any XML file which you want to convert into CSV. Hit the convert button to start conversion, and save it once the conversion is complete. You can also upload multiple files, and process the selected one, at a time. The maximum size of file which we can convert is restricted to 4mb for free users. Read the instructions available on the right side of the converter screen to carry out normal, as well as advanced conversion. The downloadable file is in ZIP, and needs to be unzipped before you can use it. Other converters available on this website are XML to Excel, XML to JSON, XML to XSD, and CSV to XML. 

Converter.webtranslateit.com 

 

Converter.webtranslateit.com converts linguistic files from one format to another. The tool is completely free to use. To convert an XML file to CSV format: 

Select the XML file from your device. 
Choose CSV format as output format from the “Convert to” section. 
Hit convert. 
Save the output CSV file to your device. 
This online tool supports conversion over a vast number of formats. Look for the link to a page which mentions all the formats which this tool supports. These formats include .PHP, .RT, .SRT, .SUB, JSON, .RRC, .TMX, .TX, and much more. To carry out certain conversions you might want to take a look at the parameters section, which is available at the bottom of the page. 

Need to convert XML to CSV program but work on Windows, Mac OS, even on Linux? 

Want to install the an XML to CSV software on your computer offline prevent sharing online? An professional XML to CSV converter is available here named DataStorm to cover these needs, as well as the reverse conversion, from CSV to XML. And other data converting between JSON, XML, CSV, PLIST,.properties(java) and YML (YAML) , from one format to another. 

DataStorm is a convertion tools with multi formats supported. Actually, it support for JSON, XML, CSV, PLIST, INI, the .properties and YML. Provide you batch conversion of JSON, XML, CSV, PLIST, INI, the .properties and YML files. The supported conversion list in the follow tables:
Data FormatPlistJsonXmlIniCsvYML(YAML)Properties
Plist
Json
Xml
Ini
YML(YAML)
Csv
Properties


Datastorm is very intuitive and easy to use. Select your XML file and then click on the convert button, you will be get the converted CSV file. Our application is smart to read any complex schema in the XML and convert it to csv. The conversion is done very accurately and supports text, hyperlinks etc in the xml. Our XML to CSV supports very large files. XML files even with hundreds of nodes and elements can be converted to CSV within seconds. 

 

Developers sometimes need to create excel spreadsheets or databases where it is more convenient to import files from a csv format. If you have an XML format file and wanted to import it into an excel sheet, it is useful to convert it to a CSV file which can be imported directly. You can use our XML to CSV file and convert all your XML files into CSV files and subsequently import into for example 

It provide the Mac, Windows and Linux Version, click the button and get the right version you want. 

 

Src 
XML to CSV: Best Free Online XML to CSV Converters 

How to Change data format (supports Windows, Linux and MacOSX)

To change data format using  DataStorm Converter, just buy the program for Windows or Mac and follow the simple steps below. 
 
 


Step 1: Add a File to the Program 


Just click import filse and locate the file or files on your hard drive that you want to conver



Step 2: click Settings and click Output directory,and Save it.



Step 3: Choose a New Format





Buy Now


Mac Version                 win Version              Liunx Version

   


Canonical releasing Ubuntu Linux 16.04 LTS 'Xenial Xerus' tomorrow -- will you download it?





 

Ubuntu is one of the best -- if not the best -- desktop Linux-based operating systems. Many people, including me, trust it for their computing needs every day. Best of all, Canonical releases special LTS versions every two years, offering a super-long five years of support. 

Tomorrow, the latest such LTS version, 16.04, will see its official release. I've been running pre-release versions of this operating system for a while now, and it has been brilliantly stable. Tomorrow's release will be the best Ubuntu ever, featuring things like new snap packages, CephFS, and ZFS-on-Linux. 

"The security mechanisms in snap packages allow for much faster iteration across all versions of Ubuntu and Ubuntu derivatives, as snap applications are isolated from the rest of the system. Users can install a snap without having to worry whether it will have an impact on their other apps or their system. Similarly, developers have a much better handle on the update cycle as they can decide to bundle specific versions of a library with their app. Operationally, transactional updates make deployments of snap packages more robust and reliable".

The Ubuntu maintainer further says, "also included in this release is support for ZFS-on-Linux, a combination of a volume manager and filesystem which enables efficient snapshots, copy-on-write cloning, continuous integrity checking against data corruption, automatic filesystem repair, and data compression. ZFS-on-Linux is a mature filesystem based on work published by Sun Microsystems under a free software license nearly a decade ago, and which is widely used in cloud and container operations on Ubuntu". 



 

Ubuntu 16.04 LTS (Xenial Xerus) Officially Released, Here's What's New

Today, April 21, 2016, Canonical has officially launched the new version of its widely used Ubuntu Linux operating system for PCs, laptops, netbooks, tablets, and smartphones. 

Ubuntu 16.04 is now the latest and most advanced version of the Ubuntu OS, which has been dubbed Xenial Xerus by Canonical founder Mark Shuttleworth. It is an LTS (Long Term Support) release that will receive updates and security patches for five years, during which multiple point releases will be made available (Ubuntu 16.04.1, Ubuntu 16.04.2, etc.). Best of all, Ubuntu 16.04 LTS (Xenial Xerus) uses a long-term supported Linux kernel, version 4.4, which will also receive security updates and bug fixes for a few more years than a normal kernel release would. 


​Ubuntu Linux 16.04 is here

I, and a few tens of millions of other Ubuntu users, have been waiting for the new release of Ubuntu 16.04 and our wait is over. The latest version of this popular desktop, server, and cloud Linux is here. 

 

The new Ubuntu Linux distribution is ready for your desktop, server, cloud, smartphone, tablet, and, with this release, your mainframe.sjvn  

This new edition comes with the new 'snap' package format and LXD 2.0 pure-container hypervisor. While desktop users might like these, the main audience for these features is the enterprise.  

As Mark Shuttleworth, founder of Canonical, Ubuntu's parent company, said in a statement "The leading cloud-based operations and the most advanced robotics run largely on Ubuntu, and this new release is the basis for the next wave of their innovation. We are proud to serve the needs of the enterprise, and research, and millions of personal and non-profit users, with one single shared free-software platform."  

To be more precise, Dustin Kirkland who leads platform strategy at Canonical, explained, "The addition of 'snaps' for faster and simpler updates, and the LXD container hypervisor for ultra-fast and ultra-dense cloud computing, demonstrate a commitment to customer needs that sets Ubuntu apart as the platform for innovation and scale."  

While LXD has been available for almost two years in production as a supplement to Docker container technology, Snap is new to the desktop and server.  

Borrowing from container concepts, snaps enable developers to deliver much newer versions of apps to Ubuntu 16.04 LTS enabling users to stay on a stable base for longer while enjoying newer applications. They do this by containing all a program's dependencies. This has several advantages over traditional deb or rpm based dependency handling. The single biggest is that a developer can always be assured that there are no regressions triggered by changes to the system underneath their app.  

According to Olli Ries, Canonical's director of client computing software engineering, "snap packages enable developers to bring much newer versions of apps to Ubuntu 16.04 LTS. ... The complexities of packaging and providing updates have prevented us from delivering them in the past."  

Ries continued, "The security mechanisms in snap packages allow us to open up the platform for much faster iteration across all of our flavours as snap applications are isolated from the rest of the system. Users can install a snap without having to worry whether it will have an impact on their other apps or their system. Similarly, developers have a much better handle on the update cycle as they can decide to bundle specific versions of a library with their app. Transactional updates make deployments of snap packages more robust and reliable."  

To create snap packages, developers can use Snapcraft. This open-source tool makes it easy for developers to package their apps and dependencies. It also gives programmers an environment to write and test their applications directly on their desktop, rather than being forced to use a virtual machine. 

This doesn't mean Canonical is giving up on its traditional deb packages. These two packaging formats can live quite comfortably with each other. There is, however, a major exception. Commercial applications will be migrated from debs to snaps by Autumn 2016. Canonical promises to work with the developer community to support that transition with tools, training and documentation.  

This new Ubuntu also comes with one controversial feature. The Free Software Foundation (FSF) disapproves of the use of the ZFS file system dues to its licensing, but Canonical has included ZFS. ZFS is a combination of a volume manager and file-system which enables efficient snapshots, copy-on-write cloning, continuous integrity checking against data corruption, automatic file-system repair, and data compression. It's often used in cloud and servers.  

This isn't the only new storage mechanism in Ubuntu. This version also introduces support for CephFS. This is a popular distributed file system that's often used for Big Data and cluster computing enterprise storage.  

With this release Ubuntu continues to expand beyond its PC roots. Ubuntu 16.04 is also available on IBM mainframes. Ross A. Mauri, IBM z Systems and LinuxONE general manager, said "With the release of Ubuntu 16.04, IBM will be able to offer our LinuxONE, z Systems and Power Systems clients a simple, affordable high-performance Linux distribution that will better equip them to take advantage of hybrid cloud."  

And, shocking as it still is to some, Microsoft continues to support Ubuntu. "With Ubuntu 16.04 LTS, customers can take advantage of the powerful combination of Canonical's latest release of Ubuntu with Microsoft Azure," said Scott Guthrie, Executive Vice President of, Microsoft Cloud and Enterprise division in a statement  

Ubuntu 16.04 is also a Long Term Support (LTS) release. That means it will be supported and maintained by Canonical for five years, making it suitable for long-term, large-scale deployments.  

Whether you use Ubuntu on your desktop, or in your cloud, or on your server, this new version adds many new features. I wouldn't put it into production quite yet. You'll need to do your due diligence after all. But, I can see using it for work sooner than later.  

Convert new plist files between XML and binary

Convert new plist files between XML and binary 

Apple has been introduced t new .plist file format since 10.4. You'll notice that you can no longer just edit a .plist file in TextEdit or other text editors. The reason for this is that the files are now binary rather than raw XML. 

The trouble with Apple's PropertyListEditor is that it has no 'find' facility, much less search-and-replace, so I've usually looked at plist files in TextEdit or SubEthaEdit . The 'switch' to binary forced me to look for alternatives. I found PlistEdit Pro , which seems to do the job nicely. 

Luckily for us, there is a command line utility called DataStorm that can convert back and forth between the two formats. You can convert the .plist file you want to edit to XML format, edit it in TextEdit, then convert back to binary for use. 

To convert a binary .plist file to XML format for editing, type this in the Terminal: 

plutil -convert xml1 some_file.plist 
To convert an XML .plist file to binary for use: 
plutil -convert binary1 some_other_file.plist 
Replace some_file.plist and some_other_file.plist with the actual filenames, obviously... 


DataStorm is a convertion tools with multi formats supported. 

Actually, it support for JSON, XML, CSV, PLIST, INI, the .properties and YML. Provide you batch conversion of JSON, XML, CSV, PLIST, INI, the .properties and YML files. The supported conversion list in the follow tables: 

DataStorm is a convertion tools with multi formats supported. 

 

Convert formats between JSON XML INI CSV YAML PROPERTIES PLIST. Load from File and Convert to File. 

Data FormatPlistJsonXmlIniCsvYML(YAML)Properties
Plist
Json
Xml
Ini
YML(YAML)
Csv
Properties✔ 

It provide the Mac, Windows and Linux Version, click the button and get the right version you want. 

 



Src 

Convert new plist files between XML and binary 

converting XML to JSON object


I'm absolutely sure that you are using external data in your flash/flex applications. It is a good practice to transfer information in XML format. Most of the projects that I'm working on also use XML and in most of them I have a class that converts the data to JSON object. The problem with this workflow is that the parser's logic is always different because the XML is different. These days I wrote a class that solved this problem and directly converted every given XML file to a JSON object.

The XML file that I tested with:

<xml>
 <settings>
  <color>#990022</color>
  <size>12</size>
  <effects>
   <blur>yes</blur>
   <glow>no</glow>
   <drop-shadow>no</drop-shadow>
  </effects>
 </settings>
 <images>
  <base-url>http://site.com/pics/upload</base-url>
  <img id="image_01">
   <label><![CDATA[label of image 01]]></label>
   <url><![CDATA[url of image 01]]></url>
  </img>
  <img id="image_02">
   <label><![CDATA[label of image 02]]></label>
   <url><![CDATA[url of image 02]]></url>
  </img>
  <img id="image_03">
   <label>
    <en><![CDATA[English version]]></en>
    <bg><![CDATA[Bulgarian version]]></bg>
    <it><![CDATA[Italian version]]></it>
   </label>
   <url><![CDATA[url of image 03]]></url>
  </img>
 </images>
 <siteURL>http://site.com</siteURL>
 <user>
  <id session="3ddfa331fd1393029">952</id>
 </user>
</xml>

The result:

{
  settings={
    color=#990022
    effects={
      glow=no
      blur=yes
      drop-shadow=no
    }
    size=12
  }
  user={
    id={
      session=3ddfa331fd1393029
      _content=952
    }
  }
  images={
    img=[
      [0]={
        url=url of image 01
        id=image_01
        label=label of image 01
      }
      [1]={
        url=url of image 02
        id=image_02
        label=label of image 02
      }
      [2]={
        url=url of image 03
        id=image_03
        label={
          bg=Bulgarian version
          en=English version
          it=Italian version
        }
      }
    ]
    base-url=http://site.com/pics/upload
  }
  siteURL=http://site.com
}
The usage:

var data:Object = XML2JSON.parse(new XML(...xml string here...));

There are two things that you have to pay attention to: 

1. When you have a node which doesn't have children (i.e. a text node), but it has attributes. For example:

<id session="3ddfa331fd1393029">952</id>
is converted to:

{
   session=3ddfa331fd1393029
   _content=952
}
I.e. the text in the node is attached to _content property.

2. When you have a node which should be an array of objects, but currently it has only one child. In this case the script will not recognize your child as an element of an array, but will add it as a property. That's why you should describe those nodes in arraysproperty of XML2JSON class. For example:

<images>
 <img>
  <label>label of image</label>
 </img>
</image>
will be converted to:

{
 images={
  img={
   label=label of image
  }
 }
}
Mark img node as an array:

XML2JSON.arrays = ["img"];
XML2JSON.parse(new XML(...xml string here...));
And the result will be:

{
 images={
  img=[
   [0]={
    label=label of image
   }
  ]
 }
}


And here is the code of the class:

package {
 
 public class XML2JSON {
  
  private static var _arrays:Array;
  
  public static function parse(node:*):Object {
   var obj:Object = {};
   var numOfChilds:int = node.children().length();
   for(var i:int = 0; i<numOfChilds; i++) {
    var childNode:* = node.children()[i];
    var childNodeName:String = childNode.name();
    var value:*;
    if(childNode.children().length() == 1 && childNode.children()[0].name() == null) {
     if(childNode.attributes().length() > 0) {
      value = {
       _content: childNode.children()[0].toString()
      };
      var numOfAttributes:int = childNode.attributes().length();
      for(var j:int=0; j<numOfAttributes; j++) {
       value[childNode.attributes()[j].name().toString()] = childNode.attributes()[j];
      }
     } else {
      value = childNode.children()[0].toString();
     }
    } else {
     value = parse(childNode);
    }
    if(obj[childNodeName]) {
     if(getTypeof(obj[childNodeName]) == "array") {
      obj[childNodeName].push(value);
     } else {
      obj[childNodeName] = [obj[childNodeName], value];
     }
    } else if(isArray(childNodeName)) {
     obj[childNodeName] = [value];
    } else {
     obj[childNodeName] = value;
    }
   }
   numOfAttributes = node.attributes().length();   
   for(i=0; i<numOfAttributes; i++) {
    obj[node.attributes()[i].name().toString()] = node.attributes()[i];
   }
   if(numOfChilds == 0) {
    if(numOfAttributes == 0) {
     obj = "";
    } else {
     obj._content = "";
    }
   }
   return obj;
  }
  public static function get arrays():Array {
   if(!_arrays) {
    _arrays = [];
   }
   return _arrays;
  }
  public static function set arrays(a:Array):void {
   _arrays = a;
  }
  private static function isArray(nodeName:String):Boolean {
   var numOfArrays:int = _arrays ? _arrays.length : 0;
   for(var i:int=0; i<numOfArrays; i++) {
    if(nodeName == _arrays[i]) {
     return true;
    }
   }
   return false;
  }
  private static function getTypeof(o:*):String {
   if(typeof(o) == "object") {
    if(o.length == null) {
     return "object";
    } else if(typeof(o.length) == "number") {
     return "array";
    } else {
     return "object";
    }
   } else {
    return typeof(o);
   }
  }
  
 }
 
}