Comparison

MintFlow vs Python 學習計劃

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

MintFlow

This advanced tool allows users to debug and control network traffic on Apple devices. It functions as a VPN and proxy client, enabling fine-grained routing, DNS customization, and HTTP/HTTPS traffic inspection and rewriting.

Highlights
  • System traffic capture and forwarding
  • Customizable traffic routing rules
  • Internal high-performance DNS server
  • HTTP/HTTPS traffic capture and rewriting
  • Support for WireGuard, Shadowsocks, VMESS
  • On-demand VPN activation
  • Siri Shortcuts integration
Features
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MintFlow is a powerful VPN client, proxy client, traffic monitor, and HTTP/HTTPS debugging toolkit for iPhone and iPad. Bring your own VPN or proxy server, then decide exactly how traffic should flow. Use a simple single-output mode or build detailed rules for Direct, VPN, proxy, reject, and drop actions. Inspect DNS and network flows, capture HTTPS requests and responses, and test rewrites before using them. VPN AND PROXY - WireGuard VPN with file and QR code import - HTTP and SOCKS5 proxies - Pro support for AmneziaWG, Shadowsocks, Shadowsocks 2022, VMess, AnyTLS, and experimental Tailscale - Route proxy traffic through VPN connections - Tune DNS and MTU settings FLEXIBLE ROUTING AND DNS - Simple Mode for sending traffic to one Direct, VPN, or proxy output - Rule Mode with CIDR, CIDR Set, and Domain Set matching - Device-wide DNS with Direct DNS, DoT, and DoH - Domain-based App Routing - Static DNS records with Pro - Live settings and clear guidance when a VPN restart is required HTTPS CAPTURE AND WEB REWRITE - Inspect HTTP/HTTPS requests, responses, headers, and bodies using MITM decryption - Capture all supported traffic or select domains, IP addresses, and TCP ports - Search capture history and preview JSON, JavaScript, CSS, HTML, images, and more - Rewrite URLs or response bodies with jq and JavaScript - Use HTTP API Research, Request Simulator, and Rewrite Lab tools - Export AI-friendly analysis bundles and import or export portable .mfhrb rewrite bundles NETWORK VISIBILITY - DNS Log with a timeline and quick domain actions - Flow Capture with source, destination, protocol, transfer, duration, route, and location details - Pro packet capture with PCAPNG export DIAGNOSTICS AND AUTOMATION - Ping, Traceroute, DNS Test, VPN & Proxy Test, and profile diagnostics - System route, DNS, and interface information - Pro iPerf3 client for system, VPN, and proxy performance tests - Siri Shortcuts and Pro On-Demand VPN rules PROFILES THAT STAY PORTABLE MintFlow uses readable text profiles as its source of truth. Edit, validate, diagnose, import, and export your configuration. Pro unlocks multiple profiles plus iCloud sync for profiles and local jq/JavaScript resources. UNDER THE HOOD VPPRS is MintFlow's custom-built vectorized packet-processing core, inspired by the architecture of fd.io VPP, originally contributed by Cisco. It powers performance-sensitive routing and advanced tools. MintFlow 2.0 moves active packet processing to this foundation. Building and tuning core networking infrastructure takes sustained work; we are investing in it to improve performance, stability, and maintainability over time. FREE AND PRO Free includes WireGuard, HTTP and SOCKS5 proxies, Simple Mode, App Routing, DoH/DoT, DNS Log, Flow Capture, HTTP inspection, Capture All, and a practical allowance for domain sets and HTTP rewrite rules. Pro unlocks advanced protocols and tools, unlimited profile resources, iCloud sync, packet capture, and automation. IMPORTANT 1. MintFlow does not provide VPN or proxy services. You must configure your own server or a compatible third-party service. 2. HTTPS inspection requires installing and trusting the MintFlow CA certificate. Certificate pinning and some protocols may prevent capture. 3. WireGuard® is a registered trademark of Jason A. Donenfeld. Manual: https://galaxnet.dev/mintflow/manual Privacy Policy: https://galaxnet.dev/mintflow/legal/privacy/ Terms of Service: https://galaxnet.dev/mintflow/legal/tos/

About

Python 學習計劃

Features
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AI 時代還要學程式設計嗎?事實是要,但已經不是過去的學習方式,怎麼說呢?以前的老前輩總是要學初學者先掌握一門程式語言,這裡所謂的掌握,拿 C 語言來舉例,就是要到能開發出 C 語言編譯器甚至到用 C 語言寫出作業系統,所以程式設計專科像是資訊工程系的課程就是這樣安排。 換句話說,過去的觀念強調用背誦培養,不管學生懂不懂,反正學生不懂也是可以先背起來,很多前輩的求學歷程不外都是先背了一堆知識,等到了未來某一天見到了某個知識點,才總算觸類旁通,以前不懂的,才在突然懂了,也就是到了特定知識點才對程式設計開竅。 先記住等到以後才弄懂的模式,坦白說是要在戰後快速培養人才,這樣記性好、學習效率高,也就是遴選出智商高的人才,問題是記性不等於悟性,所以記住是記住,卻不等於理解到懂的程度。 這就導致一種很詭異的現象,智商高的人記住了但是不懂,結果就是一直耍小聰明,賣弄他記住的知識,卻難以真正做創造或發明的工作,其實現在的 AI 幾乎可以說是就是智商極高的智能體, AI 可以依據提示詞做推論,但也僅只於推論而已,正確與否或是否符合需求則需要由另一套機制驗證。 所以 AI 強在可以跟你講知識,依據你輸入的文字推論你想要的結果,但目前的 AI 無法體察你言語間細微的變化,也無法分辨你言語的意思是否是 AI 能夠理解的意思,換句話說沒辦法察言觀色,也就是 AI 理解不了你懂或是不懂,或是你的理解與 AI 的理解是否相同,結果是你讓智商高的 AI 一直賣弄小聰明,向你堆知識,瞬間給你座圖書館,這就引出真正的難題,你不懂就不會用,你能做的頂多是跟 AI 一樣,依樣畫葫蘆,如果你不想畫一樣的葫蘆,你還是得懂。 正因為是弄懂了才會用,從另一種角度來講,懂了才知道要去記什麼,從而長出記性,多年的教學經驗給我的感受是讓多數學習程式設計的人,恍然大悟的知識點是弄懂產品的概念,換言之,從前是先學什麼是程式,從程式慢慢擴張到軟體,再從軟體的角度去學開發產品,這時候軟體規格到整個軟體的架構才出來,然後才懂得程式只是零件,所以說到頭,軟體開發是有了基本的邏輯概念後,去寫構成零件的程式,然後才能去組合零件到產品。 所以本 App 的設計理念反其道而行,從產品的角度出發,總共分成四個部份 基礎學習篇 軟體開發篇 GUI 篇 Brython 篇 「基礎學習篇」著重帶領學習者寫 Python 的小程式,藉此熟悉 Python 的語法,目的不是為了精通 Python 程式語言,而是為了「軟體開發篇」做準備。「軟體開發篇」從軟體規格出發,重點是繼續帶領學習者進一步開發能把英文句子編密碼的 Encrypt 類別。 Encrypt 類別作為「GUI 篇」的計算核心,繼續帶領學習者用 Tk 製作「編密碼小工具」的 GUI 視窗軟體。 -geany- 「Brython 篇」則是藉由第三方程式庫 Brython ,繼續把「邊密碼小工具」移植到網頁上。換言之,「編密碼小工具」就是本 App 依教學需求所開發的產品,這是一個宏觀的角度,先理解軟體的架構,再回推需要補強學習之處,畢竟現在電腦早已不再是先寫編譯器才能讓程式運作,也就是說,目的是讓學習者能先弄懂軟體開發是怎麼一回事,懂了軟體開發,往後再由其他管道,例如 AI 補強語法細節。 現階段 AI 還是一個提示詞給一組回應,當然也可以用如 agent 排程去做,講到提示詞就跟過去指令一樣,換句話說還沒走出自動化程式那一套, Python 就是適合在系統中寫自動化程式工作的程式語言。 有沒有發現一件事情,現在的 AI 是利用自然語言將工作自動化,但是維護能做自動化工作的 agent ,還是需要程式設計師,相對是要求經驗更豐富程式設計師,因此想要當程式設計師,就需要不斷的強化程式設計能力,如果能先弄懂軟體開發是什麼一回事,再來的程式語言的語法細節到電腦底層邏輯,本來很枯燥要死背的東西,一下子就變成有趣了起來。 有趣,學習才有意義,不是嗎?況且要自己手動寫出能跑得程式碼才有成就感,如果像前些日子從網路抄程式碼到現在跟 AI 要程式碼,那其實都不太會產生成就的快感,而且可能需要一直懊惱的除錯,說到這裡,無論網路或 AI 都是寶劍,你手持寶劍是要斬妖除魔,但如果你被寶劍反制控制住你的心靈,寶劍就無法成為你自身力量的延伸,那還不如棄之不用。 最後感謝購買本 App ,但由於每個人的基礎不同,希望本 App 設計的教學方式能對學習程式設計有所幫助。懂不是一件容易的事,但是總是要懂了才知道要怎麼做,做了才會有真正的幫助。 張凱慶 2026/05/13

Screenshots

MintFlow4 screens
Python 學習計劃4 screens

Verdict

The call

The clearest difference is price: MintFlow at Free against Python 學習計劃's $7.99. MintFlow also leads on update cadence (monthly vs every 3 months). Python 學習計劃's advantage is in-app purchases (none vs 2). On ads, device support and iOS requirement 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

CostPrice · In-app purchases · Ads · Monetization

MintFlow is free to download; Python 學習計劃 costs $7.99 up front. MintFlow sells 2 in-app purchases, starting at $5.99 per year. Python 學習計劃 asks for nothing beyond the download.

UpkeepUpdate frequency

MintFlow ships an update monthly, Python 學習計劃 every 3 months. The most recent releases landed on October 7, 2026 and October 3, 2026 respectively.

Scorecard3 real differences · 7 level
MintFlow versus Python 學習計劃: the parameters behind the verdict, then further details
ParameterMintFlowPython 學習計劃
PriceFree — better$7.99
Rating4.3 (3 ratings) — better—
Positive reviews100.0% of reviews—
Number of ratings3 — better—
Update frequencyMonthly — betterEvery 3 months
AdsNoNo
In-app purchasesYesNo — better
MonetizationFree with in-app purchases—
DevicesiPhone, iPad, iPod — betteriPhone, iPad
Requires iOS15.0 — better16.6
Further details — not scored
Size75 MB83 MB
Age rating4+4+
DeveloperGalaxNet Ltd.Kaiching Chang

In-app purchases

2 purchases

MintFlow

Subscriptions1
  • MintFlow NetStack Pro Yearly14 Days trial$5.991 Year
One-time1
  • Pro Features$9.99
None

Python 學習計劃

No in-app purchases

Questions

Is MintFlow free?
MintFlow is free to download, with in-app purchases available.
Is Python 學習計劃 free?
Python 學習計劃 costs $7.99, with no in-app purchases.
Do MintFlow or Python 學習計劃 have ads?
Neither MintFlow nor Python 學習計劃 shows ads.
Which is updated more often, MintFlow or Python 學習計劃?
MintFlow ships an update monthly, and Python 學習計劃 every 3 months. Most recently, MintFlow was updated on October 7, 2026 and Python 學習計劃 on October 3, 2026.

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