Anime

by @likeadivaInfluencer·15 followers

4 series

Recommendations recalculated: June 13, 2026, 08:47 · 4 recommendations from Peoople creators

Curated by a Influencer

📦 Items

4

⭐ Avg rating

7.7

🎭 Top genre

Sci-Fi & Fantasy

👤 Curator

@likeadiva

This collection contains 4 series with an average rating of 7.7. Top genres: Sci-Fi & Fantasy, Action & Adventure, Animación. Available on netflix (2), prime_video (1). Curated by @likeadiva.

⭐ Top rated

1

Dragon Ball Z

Sci-Fi & Fantasy, Action & Adventure, Animación

Sci-Fi & Fantasy, Action & Adventure, Animación

Sci-Fi & Fantasy, Action & Adventure, Drama, Animación

Ciencia ficción, Aventura, Acción, Fantasía

5.3

IMDB

Genres

Sci-Fi & Fantasy 3Action & Adventure 3Animación 3Ciencia ficción 1Aventura 1Acción 1

Where to watch

Netflix2

Prime_video1

All (4)

Naruto

Sci-Fi & Fantasy, Action & Adventure8.4

Dragon Ball Z

Sci-Fi & Fantasy, Action & Adventure8.8

Fullmetal Alchemist

Ciencia ficción, Aventura5.3

Saint Seiya

Sci-Fi & Fantasy, Action & Adventure8.4

About the curator

@likeadiva

Influencer · 15 followers · 51 recs · 8 collections

Frequently asked questions

What is "Anime"?+

"Anime" is a curated collection of 4 series by @likeadiva, a Influencer on Peoople. Average rating: 7.7.

Who created this collection?+

@likeadiva is a Influencer on Peoople with 15 followers and 51 recommendations across 8 collections.

How many series are in this collection?+

This collection contains 4 series. Top genres: Sci-Fi & Fantasy, Action & Adventure, Animación.

Where can I watch or find these series?+

Available on netflix (2), prime_video (1). Tap any item for direct links.

Can I follow this collection?+

Yes! Follow this collection to get notified when new series are added. You can also follow @likeadiva.

How are the series in this collection selected?+

Every item is personally recommended by @likeadiva. Unlike algorithmic lists, these are handpicked by a real person.

Collections on Peoople — Over 877,000 themed collections curated by real people. Unlike algorithmic lists, every collection is handpicked by someone who loves what they recommend.