Anki alternative
Affex vs Anki 2026: Which Study App is Best? (Review)
Quick Summary: Choosing between Affex and Anki in 2026 comes down to user experience and friction. Anki is still the classic open sandbox, with deep Python/HTML customization and the community-built AnKing ecosystem, but it has a 2000s interface, a steep setup, and a $24.99 price tag on iOS. Affex delivers SM-2 spaced repetition with a modern UI, structured courses, offline-first sync, and native
.apkgimport, and will be 100% free across desktop (Windows, macOS, Linux), iOS, and Android, all launching together soon.
Overview: The Clash of Two Philosophies
Anki: The Open-Source Veteran of Spaced Repetition
First released in 2006, Anki is the longest-standing name in academic spaced repetition. Its biggest asset is freedom: anyone who knows HTML, CSS, or Python can write custom card templates, build add-ons, and tweak review routines.
That flexibility comes with friction:
- The interface feels like mid-2000s software.
- You depend on third-party add-ons, which often break when Anki updates.
- The official iOS app (AnkiMobile) costs $24.99 up front.
- AnkiWeb sync caps the main collection at 100 MB compressed (250 MB uncompressed).
Affex: Modern Efficiency and Integrated Learning
Affex was built to remove the friction between study content and long-term retention. On a fast Rust backend, it pairs spaced repetition with a clean glassmorphism interface, and builds in structured courses and habit-building metrics.
It works out of the box on day one: no config files, no CSS to write, and no paywalls.
Technical Feature Comparison: Architecture and Specs
| Feature / Dimension | Anki (24.x+) | Affex (2026) | Practical Winner |
|---|---|---|---|
| Interface & UX | Legacy style (requires add-ons to look modern) | Modern glassmorphism dark mode | Affex (zero styling setup) |
| SRS Scheduling Engine | FSRS (since 23.10) & classic SM-2 | SM-2 or Leitner (selectable) | Anki (FSRS is more accurate) |
| iOS Pricing (iPhone/iPad) | $24.99 one-time purchase | 100% Free (iOS app launching soon) | Affex (direct cost savings) |
| Desktop / Android Pricing | Free and Open Source | 100% Free (launching soon) | Tie |
.apkg Deck Import |
Native proprietary format | High-speed native Rust importer | Tie (frictionless migration) |
| Learning Paradigm | Standalone flashcards only | Flashcards + Structured Courses + Lessons | Affex (context + retention) |
| Cloud Sync Engine | Manual sync with conflict prompts (Upload vs Download) | Continuous, offline-first, conflict-free sync | Affex (no data overwrite risk) |
| Math & Code Rendering | MathJax | Ultra-fast native KaTeX | Affex (instant card loading) |
| Custom Code & Add-ons | Python scripts, unrestricted HTML/CSS | Polished presets and built-in customization | Anki (for coders/power developers) |
Algorithms in Practice: FSRS, SM-2, and Escaping ‘Ease Hell’
For decades most SRS apps relied on SM-2 (formulated in the late 1980s by Piotr Wozniak). It was a pioneer, but it has a structural flaw known as Ease Hell.
Ease Hell Flow (SM-2):
[Tough Card] ➔ [Press "Again/Hard"] ➔ [Ease Factor drops down to 130%]
▲ │
└────────────── [Card repeats excessively in short intervals] ┘
Once a card’s Ease Factor drops, the card gets stuck in very short intervals and your daily review load balloons, even after you’ve learned the material.
How FSRS Fixes This (and Where Affex Stands)
FSRS uses the DSR model:
- Difficulty (D): how inherently complex the item is.
- Stability (S): how many days the memory lasts before recall probability falls below your target.
- Retrievability (R): the probability that you remember the card right now.
Workload reduction: DSR-based models cut total daily reviews by 20% to 30% compared to legacy SM-2, at the same retention target (e.g., 90%).
Affex does not implement FSRS. It schedules cards with SM-2 or Leitner, so on scheduling accuracy Anki is ahead. If FSRS is the deciding factor for you, that is a point for Anki.
Decision Framework: Which Should You Choose?
flowchart TD
Start([What is your study profile?]) --> Q1{Do you write Python add-ons<br/>or raw HTML/CSS card templates?}
Q1 -- Yes --> AnkiPath[Choose Anki]
Q1 -- No --> Q2{Do you study on iPhone / iPad?}
Q2 -- Need a free app --> AffexPath[Choose Affex]
Q2 -- Don't mind paying $25 --> Q3{Do you want structured courses<br/>or only raw flashcards?}
Q3 -- Integrated Courses + Flashcards --> AffexPath
Q3 -- Legacy community decks only --> Q4{Want effortless import?}
Q4 -- Yes --> ImportAffex[Import .apkg into Affex]
Q4 -- No, prefer classic sandbox --> AnkiPath
Three Decisive Areas Where Affex Wins
1. Unified Learning Workflow (No More App Switching)
With a typical Anki setup, you read the textbook or watch the lecture in one place (PDFs, Notion, browser tabs) and switch to Anki separately to drill isolated facts.
In Affex, full lessons and spaced repetition share one workspace: study the lesson, review its flashcards right away, and lock it in without switching context.
2. Conflict-Free, Offline-First Sync
Anki’s infamous “Upload to AnkiWeb or Download from AnkiWeb?” prompt has cost people their data by accident. Affex syncs without conflicts and works offline: study on the subway with no signal, and your review queue syncs quietly when you reconnect.
3. Free, Including on Apple Devices (Soon)
On iPhone or iPad, Anki costs $24.99 in the App Store. Affex is free: the apps (desktop for Windows, macOS, Linux, plus iOS and Android) will be free when they launch together.
Two Areas Where Anki Still Holds the Advantage
1. Massive Legacy Community Deck Library
After 20 years, Anki has the world’s biggest repository of shared decks. The prime example is AnKing, a collaborative medical mega-deck for USMLE Step 1 and Step 2 with over 30,000 cards.
What about Affex? Affex opens
.apkgand.colpkgpackages natively. Download any Anki deck and import it into Affex, and images, audio, tags, and formatting come along (review history does not).
2. Open Developer Sandbox
If you love writing Python plugins, mapping game controllers to custom scripts, or hacking the source of your study tool, Anki’s open-source desktop ecosystem is still unmatched.
Practical Guide: How to Migrate from Anki to Affex in a Few Steps
Moving your decks to Affex doesn’t need any conversion tools:
Export & Import Workflow:
[Anki Desktop] ➔ File ➔ Export ➔ .apkg Format (Check "Include Media")
│
▼
[Affex] ➔ Decks ➔ Import .apkg ➔ Start studying!
- In Anki Desktop: go to File ➔ Export.
- Format: select Anki Deck Package (
.apkg). - Media: check Include media so images and audio come along. Scheduling information is not imported by Affex.
- In Affex: use Import on the Decks screen (or open the
.apkgor.colpkgfile directly with Affex). - Study: your cards, images, audio, and tags are ready; cards start as new.
Final Verdict
- Stick with Anki if: you’re a developer or power user who writes Python scripts, builds complex HTML/CSS layouts, or relies on real-time team collaboration through AnkiHub.
- Switch to Affex if: you want modern spaced repetition, no add-on upkeep, a free iOS app on the way, and courses and flashcards in one system.
For more on the cognitive science, read the science behind spaced repetition and neuroplasticity or the guide to 11 practical ways to apply spaced repetition.
Frequently Asked Questions
Is Affex a good alternative to Anki in 2026?
Yes. Affex combines spaced repetition (SM-2 and Leitner) with an intuitive UI, integrated structured courses, conflict-free cloud sync, and 100% free access (desktop for Windows, macOS, and Linux, plus iOS and Android, launching together soon).
Can I import Anki .apkg decks into Affex without losing progress?
Partly. Affex's native Rust importer reads .apkg and .colpkg files and brings over the content: text, media (audio and images), note types, tags, and cloze and image-occlusion cards. Your review history and intervals are not carried over, so imported cards start as new, and card templates that depend on JavaScript or text-to-speech are not executed.
Will Affex be free on iPhone and iPad?
Yes. Official AnkiMobile costs $24.99 on the App Store, whereas Affex will be 100% free across desktop (Windows, macOS, Linux), iOS, and Android when all apps launch together soon.
What is the practical difference between SM-2 and FSRS algorithms?
Classic SM-2 uses fixed ease factors that often trap cards in 'Ease Hell' (excessive review loads). FSRS models Difficulty, Stability, and Retrievability (DSR), cutting daily review loads by 20% to 30% at the same target retention. Affex currently schedules cards with SM-2 (or Leitner), the same family as Anki's classic scheduler, and has no FSRS yet.
Which app is better for medical students and competitive exams?
Anki has the largest legacy community library (such as AnKing). Affex imports those same .apkg decks natively and adds structured courses, analytics, and cross-device sync, without needing community add-ons.
About the Author
Breno GonzagaFounder of Affex. Passionate about learning techniques, productivity, and science-backed study methods.
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