PUBLIC MARKS with search hard-core

Today we'd like to share with the web community information about SPDY, pronounced "SPeeDY", an early-stage research project that is part of our effort to make the web faster. SPDY is at its core an application-layer protocol for transporting content over the web. It is designed specifically for minimizing latency through features such as multiplexed streams, request prioritization and HTTP header compression.

# A scalable threaded asynchronous state machine model. On a typical setup, 2 or 3 threads per core is enough to drive a large amount of traffic.

# Feature-rich HTTP/1.0 and HTTP/1.1 support. We fair well in various tests like CoAdvisor.

# Plugin architecture, making it easy (well, easier) to extend and customize your server.

# Well documented.

This extension brings a new Events panel that lists all of the event handlers on the page grouped by event type. The panel also nicely integrates with other Firebug panels and allows to quickly find out, which HTML element is associated with specific event listener or see the Javascript source code.

Pydermonkey’s mission is pretty simple and straightforward: it’s just meant to wrap Spidermonkey’s C API as faithfully as possible—including its debugging API—while enforcing the memory safety that Python is known for. This makes it awfully low-level for casual programmers, but thanks to Python’s awesome support for magic methods, it’s not hard to create high-level wrappers that provide much more convenient bridging between JavaScript and Python code.

a common format for archiving HTTP information that are captured by HTTP sniffers.

People are increasingly living digital lives. We do research to understand how to make that life better for individuals and organisations. Our core services are listed below:

Selenium is a suite of tools to automate web app testing across many platforms. It has various pieces (Core, RC, IDE, etc), and I struggled trying to figure out how everything fits together and works. At the end of the day, all I wanted to do was use Selenium from my Python code to drive a browser session.

The technical qualities of a website largely depend on how hard the web development team has worked on it. When qualifying a website on the code level, you need a different set of metrics than you did some years ago. This article is our attempt at specifying what metrics you should use.

This is surprisingly easy, but there is a dependency. You need information. You need to understand what you are trying to achieve, what users of the service need and know, and you need to know the content well. If you don’t have these things, it will be hard. But if you do have them, pulling them together into a first draft is surprisingly easy.

Way back in 2006 I wrote a blog post concerning the modelling of time in RDF (see Refactoring Bio With Einstein Part 3: Temporal Invariants. That post also provoked some discussion in the blogosphere. Although I haven’t written anything on the subject for the past three years I haven’t stopped thinking about it. In fact I’ve been working quite hard on the problem, mainly by modelling real data, especially geographical information. This is the first of a series of blog posts describing my experiments. I’d like to thank Leigh Dodds and Jeni Tennison who gave me valuable feedback on an earlier version of this write-up.