ddosi
Featured
PacketLens
PacketLens is a pure front-end, offline pcap analysis tool that runs entirely in the browser, supporting deep protocol decoding, HTTPS decryption, and million-packet instant loading without any backend.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It offers a lightweight, no-install web utility collection with a 2026 version release, straightforward local setup, and GPL-3.0 licensing.
Who it is for
- People who want quick browser-based utilities without desktop installation
- Developers or tinkerers who prefer running tools locally from a repository
- Users looking for an all-in-one web interface for common utility tasks
Use cases
- Accessing utility tools directly from the hosted browser page
- Running the toolkit locally with a static server or by opening the HTML file
- Customizing a local copy by editing its HTML and supporting files
Strengths
- Browser-based, so no conventional desktop installation is required
- Can be used from the hosted build or a local checkout
- Repository structure is lightweight and HTML-centered
- Provides clear getting-started and local setup instructions
Considerations
- No traditional desktop installer is provided
- Requires a current browser and may need a local HTTP server if direct file access causes issues
- Configuration details are not documented beyond inspecting the project files
- The specific utilities included are not described in detail
README quick start
Getting Started
Description
AT Tech Tools v2 is a browser-based toolkit for 2026, bringing practical utilities together in one accessible interface with a hosted build and support for local project setup and configuration.
Related repositories
Similar projects matched by category, topics, and programming language.
ViffyGwaanl
Featured
kimi-k3-learn
An interactive learning system that turns the 47-page Kimi K3 technical report into a single offline HTML file with running algorithms, 3D visualizations, spaced repetition quizzes, and a smart highlighting QA tool.
iamtechartist
Featured
human-cell-visualizer
An interactive 3D visualization of three human cell types using Three.js, WebGL particles, and custom GLSL shaders, allowing users to rotate, zoom, morph, and explore annotated structures.