Haiku is an open-source operating system that specifically targets personal computing. Inspired by the BeOS, Haiku is fast, simple to use, easy to learn and yet very powerful.

Fundraising 2016

Goal: $35,000
$4,822

WHAT'S NEW IN HAIKU DEVELOPMENT

The Haiku source is continually built and released for testing purposes nearly every day. You can download and install these latest snapshots to check out the latest features and bug-fixes.

Be aware that nightly images may be unstable. Additionally, some packages included with official releases need to be installed separately.

If you're OK with this, you can find further instructions at our Nightly image page.

Streaming Support And MediaKit Development - Report #7

Blog post by Barrett on Fri, 2016-07-15 10:39

Let's talk about the most recent improvements in streaming support, this is perhaps a bit more technical than in past but in this case most of the work was related to refine internal mechanisms. I'm going to talk also about recent MediaPlayer changes, as well as other things.

Haiku monthly activity report - June 2016

Blog post by PulkoMandy on Sun, 2016-07-03 16:54

Hey there,

Finally the reports are back to normal monthly schedule!

The summer is coming, which in my case means a little more free time for Haiku hacking. Anyway, on to the interesting facts. This report covers hrev50367-hrev50387 (yes, only 20 revisions this month, but some of them are large-ish with several commits from Barrett).

Streaming Support And MediaKit Development - Report #6

Blog post by Barrett on Tue, 2016-06-07 14:29

Finally a new report. The time since the latest report has been spent mostly into gaining a preliminary support to streaming and begin finalyzing the underlying support code.

This included documenting myself about the APIs and figuring out how to implement the functionality in a clean way. There are various additions, we are moving to the right place so we finally have a streaming infrastructure.

Haiku not-so-monthly activity report - Mar/Apr/May 2016

Blog post by PulkoMandy on Sat, 2016-05-28 10:25

Hi there! Once again with about a month of delay, here comes the activity report.

This report covers the range hrev50117-hrev50336.

Command line apps

AGMS contributed some fixes to the "mail" command line app which can be now be used easily to send automated messages from a script. This is an useful tool to have in automated tasks to post status report, errors, etc.

Streaming Support And MediaKit Development - Report #5

Blog post by Barrett on Wed, 2016-05-11 22:41

It's really a long time since the latest report, starting with this one I'm going to restore the usual article frequency.

The second part of my contract has been accepted and I'm finally returning to work on streaming support. However there is various work I had not the possibility to talk about and other things I pushed in the last week.

Streaming Support And MediaKit Development - Weekly (?) Report #4

Blog post by Barrett on Wed, 2016-04-06 14:39

Good news everyone!

It was a very long week, having easter in the middle too. There are various news, but I want to begin with a summary of this month.

  • 42 commits have been included into the Haiku master branch
  • More than 15 commits are still WIP among my branches
  • 2 commits have been put into haikuports
  • 4 tickets are now closed and a lot more are waiting my work to be complete

I submitted a request to Haiku Inc. to work for additional 240 hours, and I hope the project gets the needed funding to support my work. If you are interested in seeing my contract continue, please consider making a donation :-)

Let's talk about what happened in the meantime.

Streaming Support And MediaKit Development - Weekly Report #3

Blog post by Barrett on Fri, 2016-03-25 22:27

Hello, here a short report about how things are coming along.

Work continue on the curl streaming code

I've continued working on the network glue by adding a very basic locking using the RWLocker in Haiku's shared kit. This class allow multiple concurrent readers and an exclusive writer at one time.

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