Anki Programming Language: What It’s Really Built With (And The Better Way To Just Study Faster)
Anki programming language is mostly Python plus TypeScript for newer UI. See how Anki’s stack works, when it matters, and when a cleaner app like Flashrecall...
How Flashrecall app helps you remember faster. It's free
So… What Programming Language Does Anki Use?
Alright, let’s talk about this straight: anki programming language basically means “what is Anki written in?” — and the answer is mostly Python and TypeScript/JavaScript. The desktop app is written in Python with Qt for the interface, and the newer web-style parts use TypeScript. That’s why you see add-ons written in Python too.
This matters if you’re thinking about coding add-ons, but if you just want better flashcards and spaced repetition on your phone, you don’t need to touch any of that. That’s where something like Flashrecall comes in — a modern flashcard app that handles spaced repetition, active recall, and card creation for you, without needing to understand how it’s coded:
👉 https://apps.apple.com/us/app/flashrecall-study-flashcards/id6746757085
Let’s break down what Anki uses under the hood, when it actually matters, and when you’re better off just using a cleaner app instead of worrying about code.
What Language Is Anki Written In?
Core Tech Stack
Here’s the simple version of the Anki programming language situation:
- Desktop app (Anki)
- Mainly Python
- Uses Qt (via PyQt or Qt for Python) for the graphical user interface
- Some logic and UI pieces are being moved to TypeScript (compiled to JavaScript)
- AnkiWeb (the browser version)
- Backend: Python (again)
- Frontend: HTML, CSS, JavaScript / TypeScript
- Mobile versions
- AnkiMobile (iOS): Native iOS app written in Objective‑C / Swift
- AnkiDroid (Android, community project): Java / Kotlin
So when someone asks “what is the Anki programming language?”, the most accurate answer is:
> Anki’s main language is Python, with TypeScript/JavaScript for modern UI parts, and native languages (Swift/Objective‑C / Java/Kotlin) for mobile apps.
If that already sounds like too much, that’s the point: you don’t actually need to know any of this to study efficiently.
Do You Need To Learn A Programming Language To Use Anki?
You can use Anki completely fine without knowing a single line of code. The programming language stuff only matters if:
- You want to write your own add-ons
- You want to modify Anki’s source code
- You’re just curious as a developer
If your main goal is:
- “I want to remember stuff for exams”
- “I want to learn a language faster”
- “I want to stop forgetting what I read/watch”
…then learning Python for Anki is overkill. You’re better off spending that time actually studying with a smoother app.
That’s where Flashrecall is honestly a nicer option, especially on iPhone and iPad:
👉 https://apps.apple.com/us/app/flashrecall-study-flashcards/id6746757085
Instead of messing with plugins and config files, Flashrecall just gives you:
- Automatic spaced repetition with reminders
- Built‑in active recall (flashcard-style quizzing)
- Super fast card creation from images, PDFs, YouTube links, text, audio, or manual input
- A modern, clean interface that doesn’t feel like 2009
Why Anki Uses Python (And What That Means For You)
Why Python?
Anki picked Python because it’s:
- Easy to write and maintain
- Great for scripting and logic-heavy apps
- Has good bindings for Qt, which handles the cross‑platform UI
So the logic of scheduling, deck handling, card generation, and add-ons is mostly Python code.
Add‑Ons = Python Too
If you’ve ever installed an Anki add‑on, that’s basically someone’s Python script plugged into Anki’s internals.
If you want to:
- Automatically style cards
- Add fancy statistics
- Change how scheduling works
…you’d be writing Python and hooking into Anki’s API.
That’s cool if you’re a developer or want to learn Python through a real project. But again, if your actual pain point is “I just want an app that works nicely on my phone,” that’s where something like Flashrecall saves you a lot of time.
Anki vs Flashrecall: When You Should Care About Code (And When You Shouldn’t)
If you searched for anki programming language, you’re probably in one of these camps:
Flashrecall automatically keeps track and reminds you of the cards you don't remember well so you remember faster. Like this :
1. You’re a dev curious how Anki is built
2. You’re wondering if you need to learn a language to customize it
3. You’re just trying to find the “best flashcard app” and fell down a rabbit hole
Let’s be real: most people in group 3 do not need to care what language any app is written in. You just want:
- Easy card creation
- Smart review scheduling
- Good reminders
- A decent UI that doesn’t feel clunky
Where Anki Shines
- Super customizable (if you’re willing to learn it)
- Tons of community add-ons
- Very powerful if you like tweaking settings
Where It’s Annoying For Normal Users
- UI feels old-school
- Syncing and profiles can be confusing
- Add-ons can break when versions change
- Lots of hidden settings and complexity
How Flashrecall Approaches It Differently
- Fast flashcard creation
- Snap a picture of a page → turn it into cards
- Paste text or upload a PDF → extract key points as cards
- Drop in a YouTube link → make cards from the content
- Type manually if you like full control
- Spaced repetition built‑in
- Reviews are automatically scheduled
- You get study reminders so you don’t forget to open the app
- No manual tracking or weird settings needed
- Active recall by design
- It actually shows you the prompt, hides the answer, and makes you think
- You rate how well you remembered, and it adjusts the schedule
- Chat with your flashcards
- Not sure you fully understand something?
- You can literally chat with the content to clarify concepts and go deeper
- Works offline
- Perfect for flights, commuting, or bad Wi‑Fi days
- Great for everything
- Languages, exams, school, uni, medicine, business, random facts — whatever you want to remember
And of course, it runs on iPhone and iPad, with a modern look and feel:
👉 https://apps.apple.com/us/app/flashrecall-study-flashcards/id6746757085
Should You Learn Python Just For Anki?
If your goal is:
- “I want to become a developer” → Yes, learning Python and using Anki as a side project can be fun.
- “I want to write Anki add-ons” → Yes, you’ll need Python and some familiarity with Anki’s internals.
- “I just want good flashcards” → No, don’t bother. Put that energy into studying.
Instead, you could:
- Use Flashrecall to create cards from your notes, slides, PDFs, or lectures in seconds
- Spend your time actually reviewing, not configuring
- Let the app handle the spaced repetition math for you
Learning a language like Python is awesome, but it’s a separate goal from learning anatomy, law, vocab, or exam content.
Example: How This Plays Out In Real Life
Scenario 1: The “Techy Anki Power User”
You:
- Like tweaking things
- Don’t mind reading docs and scripts
- Want to build custom add-ons or workflows
Then understanding the Anki programming language (Python) is actually useful. You might:
- Write a script to auto‑tag cards
- Create a custom scheduler
- Build a stats dashboard
Cool hobby project.
Scenario 2: The “I Just Need To Pass My Exam” User
You:
- Have an exam in 2 months
- Are juggling lectures, notes, and maybe a job
- Don’t want to debug anything
In that case, your best move is:
1. Download Flashrecall
👉 https://apps.apple.com/us/app/flashrecall-study-flashcards/id6746757085
2. Dump your notes, screenshots, PDFs, and YouTube lectures into it
3. Let it auto‑create flashcards or refine them manually
4. Do your daily reviews when the app reminds you
No coding. No config. Just study.
Quick FAQ About Anki’s Programming Language
Is Anki written in Java?
No. The official desktop Anki is mainly Python, not Java.
The Android app AnkiDroid is Java/Kotlin, but that’s a separate project.
Can I write Anki add-ons in JavaScript?
Not really. Add-ons are primarily Python. Some newer parts of Anki’s UI use TypeScript/JavaScript, but the plugin system is Python-based.
Is Anki open source?
Yes, the desktop version is open source and written mostly in Python. You can read the code, fork it, or contribute — if you’re into that.
Do I need to know Python to use Anki?
No. You only need Python if you want to develop add-ons or modify the app. Regular users don’t need to touch code.
The Bottom Line
The anki programming language question has a pretty straightforward answer:
> Anki is mainly written in Python, with TypeScript/JavaScript for UI parts and native languages for mobile.
That’s interesting if you’re a dev or want to hack on Anki. But if your real goal is just to learn faster and remember more, you don’t need to care what language your flashcard app is written in — you just need one that:
- Makes cards quickly
- Schedules reviews intelligently
- Reminds you to study
- Feels nice to use every day
That’s exactly what Flashrecall is built for on iPhone and iPad:
👉 https://apps.apple.com/us/app/flashrecall-study-flashcards/id6746757085
So yeah, Anki runs on Python. But your grades, your language skills, and your memory don’t care about the code — they care about how consistently you review. Use the app that makes that part easy.
Frequently Asked Questions
Is Anki good for studying?
Anki is powerful but requires manual card creation and has a steep learning curve. Flashrecall offers AI-powered card generation from your notes, images, PDFs, and videos, making it faster and easier to create effective flashcards.
What's the fastest way to create flashcards?
Manually typing cards works but takes time. Many students now use AI generators that turn notes into flashcards instantly. Flashrecall does this automatically from text, images, or PDFs.
How do I start spaced repetition?
You can manually schedule your reviews, but most people use apps that automate this. Flashrecall uses built-in spaced repetition so you review cards at the perfect time.
What is active recall and how does it work?
Active recall is the process of actively retrieving information from memory rather than passively reviewing it. Flashrecall forces proper active recall by making you think before revealing answers, then uses spaced repetition to optimize your review schedule.
What's the best way to learn a new language?
Research shows that combining flashcards with spaced repetition and active recall is highly effective. Flashrecall automates this process, generating cards from your study materials and scheduling reviews at optimal intervals.
Related Articles
- Anki Discount: How To Actually Save Money On Flashcards (And A Better Alternative Most People Miss) – Before you waste hours hunting for promo codes, read this and see if paying for Anki even makes sense for you.
- Anki For Windows 7: The Complete Guide (And A Better Flashcard Alternative Most Students Don’t Know)
- Anki Like Apps: 7 Powerful Alternatives To Learn Faster (And The One Most Students Don’t Know About) – If you love spaced repetition but hate clunky setups, this breakdown will save you hours.
Research References
The information in this article is based on peer-reviewed research and established studies in cognitive psychology and learning science.
Cepeda, N. J., Pashler, H., Vul, E., Wixted, J. T., & Rohrer, D. (2006). Distributed practice in verbal recall tasks: A review and quantitative synthesis. Psychological Bulletin, 132(3), 354-380
Meta-analysis showing spaced repetition significantly improves long-term retention compared to massed practice
Carpenter, S. K., Cepeda, N. J., Rohrer, D., Kang, S. H., & Pashler, H. (2012). Using spacing to enhance diverse forms of learning: Review of recent research and implications for instruction. Educational Psychology Review, 24(3), 369-378
Review showing spacing effects work across different types of learning materials and contexts
Kang, S. H. (2016). Spaced repetition promotes efficient and effective learning: Policy implications for instruction. Policy Insights from the Behavioral and Brain Sciences, 3(1), 12-19
Policy review advocating for spaced repetition in educational settings based on extensive research evidence
Karpicke, J. D., & Roediger, H. L. (2008). The critical importance of retrieval for learning. Science, 319(5865), 966-968
Research demonstrating that active recall (retrieval practice) is more effective than re-reading for long-term learning
Roediger, H. L., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20-27
Review of research showing retrieval practice (active recall) as one of the most effective learning strategies
Dunlosky, J., Rawson, K. A., Marsh, E. J., Nathan, M. J., & Willingham, D. T. (2013). Improving students' learning with effective learning techniques: Promising directions from cognitive and educational psychology. Psychological Science in the Public Interest, 14(1), 4-58
Comprehensive review ranking learning techniques, with practice testing and distributed practice rated as highly effective

FlashRecall Team
FlashRecall Development Team
The FlashRecall Team is a group of working professionals and developers who are passionate about making effective study methods more accessible to students. We believe that evidence-based learning tec...
Credentials & Qualifications
- •Software Development
- •Product Development
- •User Experience Design
Areas of Expertise
Ready to Transform Your Learning?
Start using FlashRecall today - the AI-powered flashcard app with spaced repetition and active recall.
Download on App Store