Lock in $30 Savings on PRO—Offer Ends Soon! ⏳
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Prospects for using Go libraries in Haxe
Search
Elliott Stoneham
June 01, 2015
Programming
1
200
Prospects for using Go libraries in Haxe
Talk given at WWX2015 in Paris
Elliott Stoneham
June 01, 2015
Tweet
Share
More Decks by Elliott Stoneham
See All by Elliott Stoneham
TARDIS: Go for Haxe!
elliott5
0
1.7k
mutant Go compilers (GopherCon 2014 short talk)
elliott5
1
680
Write your own Go compiler
elliott5
8
2.6k
Adventures with go.tools/ssa
elliott5
9
4.4k
Other Decks in Programming
See All in Programming
複数人でのCLI/Infrastructure as Codeの暮らしを良くする
shmokmt
5
2.3k
なあ兄弟、 余白の意味を考えてから UI実装してくれ!
ktcryomm
11
11k
안드로이드 9년차 개발자, 프론트엔드 주니어로 커리어 리셋하기
maryang
1
110
sbt 2
xuwei_k
0
300
React Native New Architecture 移行実践報告
taminif
1
160
【Streamlit x Snowflake】データ基盤からアプリ開発・AI活用まで、すべてをSnowflake内で実現
ayumu_yamaguchi
1
120
手が足りない!兼業データエンジニアに必要だったアーキテクチャと立ち回り
zinkosuke
0
720
Cap'n Webについて
yusukebe
0
130
テストやOSS開発に役立つSetup PHP Action
matsuo_atsushi
0
160
ZOZOにおけるAI活用の現在 ~モバイルアプリ開発でのAI活用状況と事例~
zozotech
PRO
9
5.7k
20 years of Symfony, what's next?
fabpot
2
360
Developing static sites with Ruby
okuramasafumi
0
290
Featured
See All Featured
Art, The Web, and Tiny UX
lynnandtonic
304
21k
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
390
Intergalactic Javascript Robots from Outer Space
tanoku
273
27k
Keith and Marios Guide to Fast Websites
keithpitt
413
23k
Building Applications with DynamoDB
mza
96
6.8k
Raft: Consensus for Rubyists
vanstee
141
7.2k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
659
61k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Navigating Team Friction
lara
191
16k
Writing Fast Ruby
sferik
630
62k
Let's Do A Bunch of Simple Stuff to Make Websites Faster
chriscoyier
508
140k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
54k
Transcript
Prospects for using Go libraries in Haxe A talk by
Elliott Stoneham at WWX2015
overview • Why bother? • TARDIS Go transpiler • Math
example • Unicode example • Image example • Issues, hopes & dreams
Go vs Haxe • Active Github repositories Q4 2014: •
Go: 22,264 • Haxe: 1,134 • ( data from githut.info )
tardisgo.github.io For more explanation of how it works, watch my
WWX2014 speech
simple “math” example Go code above generates 266 Haxe files
containing 71.4k lines of code
None
unicode normalisation example Go code above generates 1,446 Haxe files
containing 408.5k lines of code
None
nudity detection example Go code above generates 2,044 Haxe files
containing 471.3k lines of code
None
Live Demo http://tardisgo.github.io/go-nude/index.html
Issues, hopes & dreams • Issues: the immaturity of TARDIS
Go => large code sizes, slow execution speed, and ugly Haxe call interface • Hopes: that it can integrate into the Haxe ecosystem … please tell me how? • Dreams: that most Go libraries are also available in Haxe