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Anima 3.4

Anima 3.4

A Roblox experience owned by Anima Dev.

RoleplayENJapanese cultureRoleplayTown exploration

Description (written by the developer; not a statement by this register)

[Version 3.4] Hey! I updated the game to light fix a few pesky bugs. Some harder to solve bugs still remain. Various new interiors and soundtrack additions have also been added to this build of Anima. More exciting updates planned to come soon! They may take a while to create so stay tuned! 🤙 - Crezza Anima is a Roleplay game centered around both traditional Japanese culture and modern Japanese pop culture. With the town of Tsukinoya, beckoning to be explored by you. Featuring shops, styles, lush countryside scenery, and one of the finest schools in the heart of Japan. What are you waiting for? [Anima is still in development, features are subject to change.] Various songs in this game are made by LemKuuja, uploaded with permission. All rights reserved.

Last updated by the developer 7 Jun 2026, 01:00 UTC.

0
playing (measured 11 Aug 2026, 03:18 UTC)
144,210
lifetime visits
88%
liked (1,784 👍 / 238 👎)
7,646
favourites (53.0 per 1k visits)
18 December 2017
created (per Roblox)

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Live players over time

Growth

Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
11 Aug 2026, 03:180first reading

Concurrent players at each of our measurements (insert-on-change).

Badge funnel

Valley Nights! · other29,600 · 0.00% win
Impact Online! · welcome16,595 · 0.00% win
Welcome to TSUKI NO TANI! (Tsukinoya Alpha) · welcome5,918 · 0.00% win
Public Tester! · other5,615 · 0.00% win

How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.