jDataView provides a layer on top of DataView to make modifying binary data a pleasure.

jDataView is a drop-in replacement for the native DataView, adding methods for setting string, arbitrary-sized integers, and more.

• API
  • jDataView constructor
  • DataView documentation
  • Extensions
    • Operation control
    • writeXXX methods
    • Strings and Blobs
    • Bitfields
    • Internal utilities
• Example
• Changelog

There are three ways to read a binary file from the browser.

• The first one is to download the file through XHR with charset=x-user-defined. You get the file as a String, convert it to byte Array and you have to rewrite all the decoding and encoding functions (getUint16, getFloat32, ...). All the browsers support this.

• Then browsers that implemented Canvas also added CanvasPixelArray as part of ImageData. It is fast byte array that is created and used internally by <canvas /> element for manipulating low-level image data. We can create such host element and use it as factory for our own instances of this array.

• Then browsers that implemented WebGL added ArrayBuffer. It is a plain buffer that can be read with views called TypedArrays (Int32Array, Float64Array, ...). You can use them to decode the file but this is not very handy. It has big drawback, it can't read non-aligned data (but we can actually hack that). So they replaced CanvasPixelArray with Uint8ClampedArray (same as Uint8Array, but cuts off numbers outside 0..255 range).

• A new revision of the specification added DataViews. It is a view around your buffer that can read/write arbitrary data types directly through functions: getUint32, getFloat64 ...

And one way to read a binary file from the server.

• NodeJS Buffers. They appeared in Node 0.4.0. Node 0.5.0 added a DataView-like API. And Node 0.6.0 changed the API naming convention.

jDataView provided a polyfill for the DataView API with own convenient extensions using the best available option between Arrays, TypedArrays, NodeJS Buffers and DataViews.

Now that DataView is natively available in all engines, jDataView 3 acts as a layer on top of it with powerful methods for dealing with non-standard binary data types, such as strings and arbitrary-sized integers.

For complicated binary structures, it may be hard enough to use only low-level get/set operations for parsing, processing and writing data.

In addition, most likely you might need convenient I/O methods for retrieving data from external sources such like local files (using File API or from Node.js), remote files (via HTTP(S)), data-URIs, Node.js streams etc. as well as for displaying generated content to user on webpage in image/video/audio/... containers or even as simple download link.

If you faced any of these problems, you might want to check out new jBinary library that works on top of jDataView and allows to operate with binary data in structured and convenient way.

HTTP Live Streaming realtime converter and player demo implemented using jBinary data structures.

A World of Warcraft Model Viewer. It uses jDataView+jBinary to read the binary file and then WebGL to display it.

A PhotoSynth WebGL Viewer by Visual Experiments. It uses jDataView to read the binary file and then WebGL to display it.

A simple tar viewer. It is a "Hello World" demo of how easy it is to use the library.

JavaScript TrueTypeFont library demo which uses jDataView to read and display glyphs from TrueType file.

--

jBinary.Repo ready-to-use typesets and corresponding demos of using jDataView+jBinary for reading popular file formats like GZIP archives, TAR archives, ICO images, BMP images, MP3 tags etc.

Talking image - animation and audio in one package powered by HTML5 Audio, jDataView and jBinary.

Please tell us if you made something with jDataView :)