Search Results for "decoding"
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Showing 4 open source projects for "decoding"
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ProxyPin
Open source free capture HTTP(S) traffic software ProxyPin
ProxyPin is a full-featured, cross-platform HTTP(S) traffic capture and proxy tool. Developed in Flutter, it enables interception, inspection, rewriting, and blocking of network traffic across devices via scans and QR-based connection. It supports scripting, filtering, statistics, and integrates HTTP/2, zstd, WebSocket parsing, and AES tools. -
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Chucker
An HTTP inspector for Android & OkHTTP (like Charles but on device)
Chucker simplifies the inspection of HTTP(S) requests/responses fired by your Android App. Chucker works as an OkHttp Interceptor persisting all those events inside your application, and providing a UI for inspecting and sharing their content. Apps using Chucker will display a notification showing a summary of ongoing HTTP activity. Tapping on the notification launches the full Chucker UI. Apps can optionally suppress the notification, and launch the Chucker UI directly from within their own... -
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Servo
Embed web technologies in applications
Servo is an experimental, highly parallel, and embeddable browser rendering engine written in Rust. It leverages Rust’s memory-safety and concurrency strengths, supports modern GPU-powered rendering (WebGL/WebGPU), and serves as a research-forward alternative to traditional browser engines. Servo is a prototype web browser engine written in the Rust language. It is currently developed on 64-bit macOS, 64-bit Linux, 64-bit Windows, 64-bit OpenHarmony, and Android. Open governance under Linux... -
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...Tiny size overhead to your application, only 60kb for everything. Automatic smart request retries optimized for spotty mobile connections. Automatic gzip response decoding support for super-fast requests. Optional built-in response parsing into JSON (JsonHttpResponseHandler). Optional persistent cookie store, saves cookies into your app's SharedPreferences.
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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