Software Alternatives, Accelerators & Startups

Aquarium VS Miraheze

Compare Aquarium VS Miraheze and see what are their differences

Aquarium logo Aquarium

Improve ML models by improving datasets they’re trained on

Miraheze logo Miraheze

Miraheze is a wiki farm (hosts wikis) for free and with no ads, it also provides custom domains...
  • Aquarium Landing page
    Landing page //
    2023-09-26
  • Miraheze Landing page
    Landing page //
    2023-05-04

Aquarium videos

What Happened To This PRO Aquarium Fish Keeper?! | Fish Tank Review 34

More videos:

  • Review - Petsmart Top Fin 5 Gallon Glass Aquarium $49.99 Unboxing Review!

Miraheze videos

Rant #20: Worst of the Wikis (Miraheze Reception Wikis) (ft. Doctor Venuz)

More videos:

  • Review - Miraheze: Request a free wiki
  • Demo - Request a free Miraheze wiki

Category Popularity

0-100% (relative to Aquarium and Miraheze)
Developer Tools
100 100%
0% 0
Content Collaboration
0 0%
100% 100
AI
100 100%
0% 0
Wikis And Discussion Spaces

User comments

Share your experience with using Aquarium and Miraheze. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Miraheze seems to be a lot more popular than Aquarium. While we know about 30 links to Miraheze, we've tracked only 2 mentions of Aquarium. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Aquarium mentions (2)

  • Ask HN: Who is hiring? (November 2021)
    Aquarium (https://aquariumlearning.com/) | Remote Only (North American Timezones) | Full Time Aquarium is an ML data management system that helps ML teams improve their models by improving their datasets. Aquarium uncovers problems in your dataset, then helps you edit or add data to fix these problems and optimize your model performance. We are looking for our first Product Manager and are also hiring for... - Source: Hacker News / over 2 years ago
  • ML Data Management — A Primer
    #ML is maturing and teams are less concerned about having enough #data, but rather having the right data. ML data management tooling helps improve ML models by improving datasets. Check out our piece below that discusses trends in the space and startups like aquariumlearning.com, Tryunbox.ai, Lightly.ai, Scale, and Labelbox. https://medium.com/memory-leak/ml-data-management-a-primer-a635a5eac858. Source: almost 3 years ago

Miraheze mentions (30)

  • My players would like to create a collaborative "wiki" for our campaign. What are some tools, services or platforms to enable that? How can I incorporate that into gameplay?
    Miraheze seems to be offering a platform to create private wikis and it runs the same software as Wikipedia. You do need to fill out a form and request a wiki but after that you and people you specify should be able to see and edit that wiki (with the exception of the main page which can be seen by everyone). Source: about 1 year ago
  • The World of Roses, Tulips, & Liberty in 1965
    The people over at https://miraheze.org/ have been kind enough to host a wiki for us to upload our lore onto. Source: about 1 year ago
  • New modded wiki?
    You can go here to get a free wiki that isn't horrible: https://miraheze.org/. Source: about 1 year ago
  • I will draw your OCs. Yes, every single last one 2
    Miraheze = a free, British-based wiki farm run by volunteers and supported by donations. Source: over 1 year ago
  • anti-discord rule
    For those looking for an alternative to fandom https://miraheze.org is a good choice. Not for profit and they use vanilla mediawiki (what wikipedia uses) instead of whatever abomination fandom has going on. Source: over 1 year ago
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What are some alternatives?

When comparing Aquarium and Miraheze, you can also consider the following products

Scale Nucleus - The mission control for your ML data

Wikipedia - Wikipedia is a free online encyclopedia, created and edited by volunteers around the world and hosted by the Wikimedia Foundation.

ML Image Classifier - Quickly train custom machine learning models in your browser

Fandom - The entertainment site where fans come first.

PerceptiLabs - A tool to build your machine learning model at warp speed.

Wikiful - Wikiful is an online platform that makes it easy to build and share a wiki.