168 Repositories
Python log-anomaly Libraries
With Django Hijack, admins can log in and work on behalf of other users without having to know their credentials.
Django Hijack With Django Hijack, admins can log in and work on behalf of other users without having to know their credentials. Docs 3.x docs are avai
The Official Repository for "Generalized OOD Detection: A Survey"
Generalized Out-of-Distribution Detection: A Survey 1. Overview This repository is with our survey paper: Title: Generalized Out-of-Distribution Detec
Python program that handles the creation, encryption and storage of log/journal files. Kinda works like a diary of sorts.
LucaSoft J.O.U.R.N.A.L The J.O.U.R.N.A.L (Just anOther User Redaction & Navigation Assistant by Lucaspec72) is a Python program that handles the creat
The Official Repository for "Generalized OOD Detection: A Survey"
Generalized Out-of-Distribution Detection: A Survey 1. Overview This repository is with our survey paper: Title: Generalized Out-of-Distribution Detec
Patch SVDD for Image anomaly detection
Patch SVDD Patch SVDD for Image anomaly detection. Paper: https://arxiv.org/abs/2006.16067 (published in ACCV 2020). Original Code : https://github.co
Official implementation of "Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection" (ICCV Workshops 2021: RSL-CV).
Official PyTorch implementation of "Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection" This is the implementation of the paper "Syn
Offcial implementation of "A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction, ICCV-2021".
HF2-VAD Offcial implementation of "A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Predictio
Anomaly detection in multi-agent trajectories: Code for training, evaluation and the OpenAI highway simulation.
Anomaly Detection in Multi-Agent Trajectories for Automated Driving This is the official project page including the paper, code, simulation, baseline
use Notepad++ for real-time sync after python appending new log text
FTP远程log同步工具 使用Notepad++配合来获取实时更新的log文档效果 适用于FTP协议的log远程同步工具,配合MT管理器开启FTP服务器使用,通过Notepad++监听文本变化,更便捷的使用电脑查看方法注入打印后的信息 功能 过滤器 对每行要打印的文本使用回调函数筛选,支持链式调用
A tool to extract the IdP cert from vCenter backups and log in as Administrator
vCenter SAML Login Tool A tool to extract the Identity Provider (IdP) cert from vCenter backups and log in as Administrator Background Commonly, durin
Log visualizer for whirl-framework
Lumberjack Log visualizer for whirl-framework Установка pip install -r requirements.txt Как пользоваться python3 lumberjack.py -l путь до лога -o
Telegram Group Management Bot based on phython !!!
How to setup/deploy. For easiest way to deploy this Bot click on the below button Mᴀᴅᴇ Bʏ Sᴜᴘᴘᴏʀᴛ Sᴏᴜʀᴄᴇ Find This Bot on Telegram A modular Telegram
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Outlier Exposure This repository contains the essential code for the paper Deep Anomaly Detection with Outlier Exposure (ICLR 2019). Requires Python 3
Merlion: A Machine Learning Framework for Time Series Intelligence
Merlion: A Machine Learning Library for Time Series Table of Contents Introduction Installation Documentation Getting Started Anomaly Detection Foreca
Translating symbolicated Apple JSON format crash log into our old friends :)
CrashTranslation Translating symbolicated Apple JSON format crash log into our old friends :) Usage python3 translation.py -i {input_sybolicated_json_
Command line parser for common log format (Nginx default).
Command line parser for common log format (Nginx default).
Merlion: A Machine Learning Framework for Time Series Intelligence
Merlion is a Python library for time series intelligence. It provides an end-to-end machine learning framework that includes loading and transforming data, building and training models, post-processing model outputs, and evaluating model performance. I
Django package to log request values such as device, IP address, user CPU time, system CPU time, No of queries, SQL time, no of cache calls, missing, setting data cache calls for a particular URL with a basic UI.
django-web-profiler's documentation: Introduction: django-web-profiler is a django profiling tool which logs, stores debug toolbar statistics and also
With Django Hijack, admins can log in and work on behalf of other users without having to know their credentials.
Django Hijack With Django Hijack, admins can log in and work on behalf of other users without having to know their credentials. Docs 3.x docs are avai
This is the accompanying toolbox for the paper "A Survey on GANs for Anomaly Detection"
Anomaly detection using GANs.
Extract and visualize information from Gurobi log files
GRBlogtools Extract information from Gurobi log files and generate pandas DataFrames or Excel worksheets for further processing. Also includes a wrapp
A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21
ANEMONE A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21 Dependencies python==3.6.1 dgl==
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows WACV 2022 preprint:https://arxiv.org/abs/2107.1
Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.
Industrial KNN-based Anomaly Detection ⭐ Now has streamlit support! ⭐ Run $ streamlit run streamlit_app.py This repo aims to reproduce the results of
Monitor and log Network and Disks statistics in MegaBytes per second.
iometrics Monitor and log Network and Disks statistics in MegaBytes per second. Install pip install iometrics Usage Pytorch-lightning integration from
Burp Suite extension to log GraphQL operations as a comment
Burp GraphQL Logger A very simple, straightforward extension that logs GraphQL operations as a comment in the Proxy view. To enable the highlight, unc
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks This is a Python3 / Pytorch implementation of TadGAN paper. The associated
PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs
PyTorch implementation of VAGAN: Visual Feature Attribution Using Wasserstein GANs This code aims to reproduce results obtained in the paper "Visual F
LogDeep is an open source deeplearning-based log analysis toolkit for automated anomaly detection.
LogDeep is an open source deeplearning-based log analysis toolkit for automated anomaly detection.
Code for "Human Pose Regression with Residual Log-likelihood Estimation", ICCV 2021 Oral
Human Pose Regression with Residual Log-likelihood Estimation [Paper] [arXiv] [Project Page] Human Pose Regression with Residual Log-likelihood Estima
Anomaly detection on SQL data warehouses and databases
With CueObserve, you can run anomaly detection on data in your SQL data warehouses and databases. Getting Started Install via Docker docker run -p 300
Greppin' Logs: Leveling Up Log Analysis
This repo contains sample code and example datasets from Jon Stewart and Noah Rubin's presentation at the 2021 SANS DFIR Summit titled Greppin' Logs. The talk was centered around the idea that Forensics is Data Engineering and Data Science, and should be approached as such. Jon and Noah focused on the core (Unix) command line tools useful to anyone analyzing datasets from a terminal, purpose-built tools for handling structured tabular and JSON data, Stroz Friedberg's open source multipattern search tool Lightgrep, and scaling with AWS.
An exploration of log domain "alternative floating point" for hardware ML/AI accelerators.
This repository contains the SystemVerilog RTL, C++, HLS (Intel FPGA OpenCL to wrap RTL code) and Python needed to reproduce the numerical results in
USAD - UnSupervised Anomaly Detection on multivariate time series
USAD - UnSupervised Anomaly Detection on multivariate time series Scripts and utility programs for implementing the USAD architecture. Implementation
蓝鲸日志平台(BK-LOG)是为解决分布式架构下日志收集、查询困难的一款日志产品,基于业界主流的全文检索引擎
蓝鲸日志平台(BK-LOG)是为解决分布式架构下日志收集、查询困难的一款日志产品,基于业界主流的全文检索引擎,通过蓝鲸智云的专属 Agent 进行日志采集,提供多种场景化的采集、查询功能。
MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift
MemStream Implementation of MemStream: Memory-Based Anomaly Detection in Multi-Aspect Streams with Concept Drift . Siddharth Bhatia, Arjit Jain, Shivi
Splunk Add-On to collect audit log events from Github Enterprise Cloud
GitHub Enterprise Audit Log Monitoring Splunk modular input plugin to fetch the enterprise audit log from GitHub Enterprise Support for modular inputs
Unofficial implementation of PatchCore anomaly detection
PatchCore anomaly detection Unofficial implementation of PatchCore(new SOTA) anomaly detection model Original Paper : Towards Total Recall in Industri
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
OOD-detection-using-OECC This repository contains the essential code for the paper Outlier Exposure with Confidence Control for Out-of-Distribution De
Summarize LSF job properties by parsing log files.
Summarize LSF job properties by parsing log files of workflows executed by Snakemake.
Demo project for real time anomaly detection using kafka and python
kafkaml-anomaly-detection Project for real time anomaly detection using kafka and python It's assumed that zookeeper and kafka are running in the loca
A simple Python script using Telethon to log all (or some) messages a user or bot account can see on Telegram.
telegram-logger A simple Python script using Telethon to log all (or some) messages a user or bot account can see on Telegram. Requirements Python 3.6
Track Nano accounts and notify via log file or email
nano-address-notifier Track accounts and notify via log file or email Required python libs
deployment of a hybrid model for automatic weapon detection/ anomaly detection for surveillance applications
Automatic Weapon Detection Deployment of a hybrid model for automatic weapon detection/ anomaly detection for surveillance applications. Loved the pro
[Singing Log] Let your program learn to sing!
[Singing Log] Let your program learn to sing! You must have thought this was changelog when you saw the English title, but it's not, it's chànggēlog. What it does is allow your program to print logs and sing at the same time!
A python application to log QSOs directly to QRZ.com from the command line
qrzlogger This script is a QRZ.com command line QSO logger. It does the following: asks the user for a call sign displays available call sign info pul
An Unsupervised Graph-based Toolbox for Fraud Detection
An Unsupervised Graph-based Toolbox for Fraud Detection Introduction: UGFraud is an unsupervised graph-based fraud detection toolbox that integrates s
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Python Streaming Anomaly Detection (PySAD) PySAD is an open-source python framework for anomaly detection on streaming multivariate data. Documentatio
This is an unofficial implementation of the paper “Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection”.
This is an unofficial implementation of the paper “Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection”.
Paper list of log-based anomaly detection
Paper list of log-based anomaly detection
Awesome anomaly detection in medical images
A curated list of awesome anomaly detection works in medical imaging, inspired by the other awesome-* initiatives.
Inject an ID into every log message from a Django request. ASGI compatible, integrates with Sentry, and works with Celery
Django GUID Now with ASGI support! Django GUID attaches a unique correlation ID/request ID to all your log outputs for every request. In other words,
Django app that enables staff to log in as other users using their own credentials.
Impostor Impostor is a Django application which allows staff members to login as a different user by using their own username and password. Login Logg
"Log in as user" for the Django admin.
django-loginas About "Login as user" for the Django admin. loginas supports Python 3 only, as of version 0.4. If you're on 2, use 0.3.6. Installing dj
With Django Hijack, admins can log in and work on behalf of other users without having to know their credentials.
Django Hijack With Django Hijack, admins can log in and work on behalf of other users without having to know their credentials. Docs See http://django
One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.
One Stop Anomaly Shop (OSAS) Quick start guide Step 1: Get/build the docker image Option 1: Use precompiled image (might not reflect latest changes):
Real-world Anomaly Detection in Surveillance Videos- pytorch Re-implementation
Real world Anomaly Detection in Surveillance Videos : Pytorch RE-Implementation This repository is a re-implementation of "Real-world Anomaly Detectio
Log and View requests made on Django
Django Request Viewer Log and view requests made on your Django App Introduction Recently, @ichtrojan and @toniastro released horus, a request logger
A Python toolkit for rule-based/unsupervised anomaly detection in time series
Anomaly Detection Toolkit (ADTK) Anomaly Detection Toolkit (ADTK) is a Python package for unsupervised / rule-based time series anomaly detection. As
STUMPY is a powerful and scalable Python library for computing a Matrix Profile, which can be used for a variety of time series data mining tasks
STUMPY STUMPY is a powerful and scalable library that efficiently computes something called the matrix profile, which can be used for a variety of tim
Find big moving stocks before they move using machine learning and anomaly detection
Surpriver - Find High Moving Stocks before they Move Find high moving stocks before they move using anomaly detection and machine learning. Surpriver
The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common functions that add additional logs
pandas-log The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common funct
Anomaly Detection and Correlation library
luminol Overview Luminol is a light weight python library for time series data analysis. The two major functionalities it supports are anomaly detecti
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Time series analysis today is an important cornerstone of quantitative science in many disciplines, including natural and life sciences as well as eco
Yet another Django audit log app, hopefully the simplest one.
django-easy-audit Yet another Django audit log app, hopefully the easiest one. This app allows you to keep track of every action taken by your users.
GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
GoAccess What is it? GoAccess is an open source real-time web log analyzer and interactive viewer that runs in a terminal on *nix systems or through y
(JMLR'19) A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Python Outlier Detection (PyOD) Deployment & Documentation & Stats Build Status & Coverage & Maintainability & License PyOD is a comprehensive and sca
Python logging made (stupidly) simple
Loguru is a library which aims to bring enjoyable logging in Python. Did you ever feel lazy about configuring a logger and used print() instead?... I