Software Alternatives & Reviews

AnkiApp VS Papers We Love

Compare AnkiApp VS Papers We Love and see what are their differences

AnkiApp logo AnkiApp

AnkiApp is a flashcard app for iOS (iPhone + iPad), MacOS, and Android. Get flashcards on any topic. Tracks progress and syncs automatically.

Papers We Love logo Papers We Love

A repository of academic computer science papers
  • AnkiApp Landing page
    Landing page //
    2021-09-21
  • Papers We Love Landing page
    Landing page //
    2021-09-27

AnkiApp videos

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Papers We Love videos

Papers We Love too - The Rendering Equation

More videos:

  • Review - Papers We Love too - July 2015
  • Review - Papers We Love - QCon NYC Edition | Charity Majors on Scuba: Diving into Data at Facebook

Category Popularity

0-100% (relative to AnkiApp and Papers We Love)
Education
80 80%
20% 20
Spaced Repetition
70 70%
30% 30
Studying
100 100%
0% 0
Productivity
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Papers We Love should be more popular than AnkiApp. It has been mentiond 9 times since March 2021. 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.

AnkiApp mentions (2)

  • been using the wrong anki this whole time.
    Not sure why you want the wrong one but here it is "AnkiApp": https://ankiapp.com/. Source: about 1 year ago
  • Anki Add-on's on Mac
    Hi everyone! I am new to Anki and just downloaded the program on my Mac version 10.15 using the link from ankiapp.com. This is version 4.12.0 (the only one listed for Apple users). I am very interested in installing the occlusion add-on to help with anatomy, but do not know where to find the tools button to add the code (see picture has edit and view only). Source: almost 2 years ago

Papers We Love mentions (9)

  • The Top 10 GitHub Repositories Making Waves 🌊📊
    Papers We Love (PWL) is a community built around reading, discussing and learning more about academic computer science papers. This repository serves as a directory of some of the best papers the community can find, bringing together documents scattered across the web. You can also visit the Papers We Love site for more info. - Source: dev.to / 4 months ago
  • A list of EE and CE seminal/historic/useful papers? (both white papers and academic ones)
    You might be interested in https://paperswelove.org. Source: 12 months ago
  • Foundational Distributed Systems Papers
    Public Service Announcement. Reading research papers is so important for your growth and career, please put in a process to do it at least once in a month or two. (I will try to write a blog post about why it is important, and how to go about it, since I see there is a big need for this.) Papers We Love is a great resource, https://paperswelove.org/, if you like to get involved in a community to dip your feet into... - Source: Hacker News / about 1 year ago
  • We are opening a Reading Club for ML papers. Who wants to join?
    Want to make sure you’re aware of https://paperswelove.org/. Source: about 1 year ago
  • Which subreddit has active community for new computer science research papers?
    It’s not a subreddit, but check out https://paperswelove.org/. My local group is great. Source: about 2 years ago
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What are some alternatives?

When comparing AnkiApp and Papers We Love, you can also consider the following products

Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.

Academus - Read research papers as interactive webpages

Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.

Flash Cards: Math - Simple and effective math flash cards

Memrise - Learn a new language with games, humorous chatbots and over 30,000 native speaker videos.

Arxiv Vanity - Read academic papers from arXiv as responsive web pages