Topics / #detection

Detection projects on GitHub

Detection tools spanning vulnerability scanning, fingerprinting, and object detection.

As of , the most-starred Detection projects on GitHub are sqlmap (38.7K stars), fingerprintjs (28.6K stars) and labelImg (25K stars). GitHub.Locker tracks 9 Detection repositories with 123.5K stars combined. The fastest-growing on October 17 was lm-detector, with +96 stars in a day.

9Projects
123.5KStars in total
+176Stars in a day
Browse in the catalog →github.com/topics/detection ↗

Hot right now

Most stars gained in a day · Oct 17

+96

lm-detector

Ikaleio/lm-detector · ★ 488

LM Fingerpoint Detector figures out which large language model is really answering behind an API by asking it to write about 300 random integers between 1 and 355, then comparing the statistical pattern of those numbers against a reference bank of known models (GPT, Claude, Gemini, Grok, Qwen, DeepSeek, etc.) to find the closest match.

+40

ModelTrace

xqy2006/ModelTrace · ★ 1.7K

ModelTrace is a locally-run active model attribution tool: it sends three fixed challenge prompts to a target model, extracts an output fingerprint, and matches it against a known-model library to guess the model family and specific version.

+16

sqlmap

sqlmapproject/sqlmap · ★ 38.7K

sqlmap is an open-source penetration testing tool that automates detecting and exploiting SQL injection flaws and taking over the underlying database server.

+16

lieflat-less-ai-tone

larashero3-dotcom/lieflat-less-ai-tone · ★ 2.9K

A research-backed skill that detects and removes 'AI tone' from Chinese writing, based on a statistical study of a 2.83-million-character corpus comparing AI-generated and human-written text.

The all-time top

9 projects · by stars

  1. #1 · sqlmapproject/sqlmap

    sqlmap

    sqlmap is an open-source penetration testing tool that automates detecting and exploiting SQL injection flaws and taking over the underlying database server.

    38.7K
  2. #2 · fingerprintjs/fingerprintjs

    fingerprintjs

    FingerprintJS is an open-source, client-side browser fingerprinting library: it queries browser attributes and computes a hashed visitor identifier from them.

    28.6K
  3. #3 · HumanSignal/labelImg

    labelImg

    A graphical image annotation tool: you draw bounding boxes around objects in images to build labeled datasets for object detection. Created by Tzutalin, it now lives with the Label Studio community.

    25K
  1. 4

    albumentations

    15.3Kalbumentations-team/albumentations · Python

    Albumentations is a fast, flexible Python library for image augmentation used in training computer vision models, offering a huge set of pixel-level and spatial-level transforms for images, masks, bounding boxes, keypoints, and even 3D volumes.

  2. 5

    thumbor

    10.5Kthumbor/thumbor · Python

    Thumbor is an open-source HTTP image service that crops, resizes, transforms and optimizes photos on-demand, using AI for smart face/feature-based cropping.

  3. 6

    lieflat-less-ai-tone

    2.9Klarashero3-dotcom/lieflat-less-ai-tone · Python

    A research-backed skill that detects and removes 'AI tone' from Chinese writing, based on a statistical study of a 2.83-million-character corpus comparing AI-generated and human-written text.

  4. 7

    ModelTrace

    1.7Kxqy2006/ModelTrace · JavaScript

    ModelTrace is a locally-run active model attribution tool: it sends three fixed challenge prompts to a target model, extracts an output fingerprint, and matches it against a known-model library to guess the model family and specific version.

  5. 8

    lm-detector

    488Ikaleio/lm-detector · TypeScript

    LM Fingerpoint Detector figures out which large language model is really answering behind an API by asking it to write about 300 random integers between 1 and 355, then comparing the statistical pattern of those numbers against a reference bank of known models (GPT, Claude, Gemini, Grok, Qwen, DeepSeek, etc.) to find the closest match.

  6. 9

    anthropies

    191CharlesHoskinson/anthropies · TypeScript

    Anthropies is a CLI tool and local HTTP service that strips vendor marks (invisible Unicode, trailers, banners, C2PA and file metadata) from AI-generated outputs you already own. It explicitly does not remove Anthropic's core keyed text watermark — only the metadata and formatting layers around it.

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