Are you an Angular developer?

Check these useful UI and Component libraries for Angular:

🧵👇🏻

1. Material Angular:

UI library for Angular based on Material design

https://t.co/WaSGM3YbO9
2. NG Bootstrap:

UI library for Angular based on the Bootstrap framework

https://t.co/b0knl0pPEg
3. PrimeNG:

Powerful UI component library for Angular

https://t.co/90VmurAdyD
4. Onsen Angular:

Hybrid mobile and PWA UI library for Angular and Onsen UI

https://t.co/XciMAhP20N
5. NG Lightning:

Native Angular components & directives for Lightning Design System

https://t.co/o2jvxhDEVE
6. Nebular:

Customisable UI Kit, Auth & Security for Angular

https://t.co/3UtqW9XSUD
7. Alyle UI:

Minimal components set for Angular

https://t.co/kCtIcDKrvB
8. NGX Bootstrap:

Another UI library for Angular based on the Bootstrap framework

https://t.co/Cm6gDkvOfX
9. NG Zorro:

UI library for Angular based on Ant Design

https://t.co/tqGUWJLxBU
10. NG Particles:

A lightweight Angular component for creating particles

https://t.co/5DxQQNQ7FT

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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.