Filter workbench vs Python Data Structures & Algo
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Filter workbench
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Design RC, RL, and RLC filters (2nd–7th order) with Butterworth & Chebyshev alignments, passive crossovers, RLC band-pass/reject, and Twin-T notch—enter specs to instantly get component values and quick Bode insights in a clean, offline-friendly, dark-mode UI for lab, classroom, and audio/embedded work. What you can design: -RC & RL filters: low-pass / high-pass, 2nd–7th order -RLC filters: band-pass & band-reject (notch) -Butterworth: maximally flat magnitude -Chebyshev: ripple-tuned sharpness -Twin-T notch: precise mains or tone suppression -Passive crossovers: 2-way/3-way starter calculations Built for engineers, hobbyist and students, it turns specs into trustworthy parts fast—so you can prototype smarter, learn by tweaking, and move from idea to BOM with confidence.
Python Data Structures & Algo
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Master Data Structures and Algorithms using Python. Learn Data Structure and Algorithm concepts with our comprehensive tutorial app. Perfect for beginners starting their coding journey and developers preparing for technical interviews. All examples use Python. Available in 7 Languages: • English, French, German, Italian, Portuguese, Russian, and Spanish — study in your native language! What You'll Learn: • Algorithm fundamentals and complexity analysis • Arrays, strings, linked lists, stacks, and queues • Hash tables, sets, trees, and graphs • Sorting algorithms: insertion, merge, and quicksort • Graph algorithms: BFS, DFS, Dijkstra's, and Prim's • Dynamic programming, greedy algorithms, and backtracking Complete Learning Experience: • 23 structured chapters from beginner to advanced • Step-by-step tutorials with clear explanations • Complete, runnable Python code examples • Interactive quiz questions to test your knowledge User-Friendly Features: • Dark and light theme options • Clean, distraction-free interface Perfect for: • Complete beginners with no prior DSA experience • Students preparing for coding interviews • Computer science students learning algorithms • Developers strengthening their problem-solving skills • Self-learners building strong programming foundations Start your DSA mastery journey today - from basic concepts to interview-ready problem solving!
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Verdict
The clearest difference is price: Python Data Structures & Algo at Free against Filter workbench's $2.99. Filter workbench's advantage is iOS requirement (13.0 vs 16.0). On ads, in-app purchases and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Python Data Structures & Algo is free to download; Filter workbench costs $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | Filter workbench | Python Data Structures & Algo |
|---|---|---|
| Price | $2.99 | Free — better |
| Update frequency | — | Every 3 months |
| Ads | No | No |
| In-app purchases | No | No |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 13.0 — better | 16.0 |
| Further details — not scored | ||
| Size | 17 MB | 17 MB |
| Age rating | 4+ | 4+ |
| Developer | Anas Abubakar | ALG Software Lab |
In-app purchases
Filter workbench
No in-app purchases
Python Data Structures & Algo
No in-app purchases
Questions
Is Filter workbench free?
Is Python Data Structures & Algo free?
Do Filter workbench or Python Data Structures & Algo have ads?
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