464 Open source projects that are alternatives of or similar to Logparser

🚀 lightweight logging • supports level based filtering and tagging • weighs in at around 500 bytes

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Access log profiler based on response time

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Powerful terminal based viewer for JSON logs using ncurses.

Anomaly detection for streaming time series, featuring automated model selection.

High-performance time series algorithms for Ruby

STUMPY is a powerful and scalable Python library for modern time series analysis

自动生成git commit记录用以统计个人项目周报，全组项目周报，版本差异记录等

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

基于日志模板构建，采集任务动态管控、数据质量精确度量，一站式日志采集平台

Real-World Anomaly Detection in Surveillance Videos

MemStream: Memory-Based Streaming Anomaly Detection

List of tools & datasets for anomaly detection on time-series data.

The most optimal way to visualize/debug functional compositions 🔍

A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]

TailLog Source (TailLog 开源代码)

Foremast adds application resiliency to Kubernetes by leveraging machine learnt patterns of application health to keep applications healthy and stable

Borgert is a CMS Open Source created with Laravel Framework 5.6

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

An enjoyable golang test framework.

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

Analog CE

A curated list of awesome anomaly detection resources

Slack logger that sends pretty formatted messages to a Slack channel.

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

WoWAnalyzer is a tool to help you analyze and improve your World of Warcraft raiding performance through various relevant metrics and gameplay suggestions.

A high-level machine learning and deep learning library for the PHP language.

https://events.kaspersky.com/hackathon/

Find big moving stocks before they move using machine learning and anomaly detection

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

白泽自动化运维系统：配置管理、网络探测、资产管理、业务管理、CMDB、CD、DevOps、作业编排、任务编排等功能,未来将添加监控、报警、日志分析、大数据分析等部分内容

This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average with an extreme student deviate (ESD) test to detect anomalous points.

Kotlin Multi Platform Logger, for android an ios : Logcat & print

PCA and DBSCAN based anomaly and outlier detection method for time series data.

State change & method call logger. A debugging tool for instance variables and method calls.

Healthbot configuration examples. Scripts to manage Healthbot. Closed loop automation. Healthbot building blocks description and troubleshooting guide

📱 A simple & efficient iOS logging framework for high usage apps

Detect EEG artifacts, outliers, or anomalies using supervised machine learning.

🎩 A fake log generator for common log formats

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

Common, utility packages for Go

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Middleware for access logging in HORSE

Liberating Web Analytics. Star us on Github? +1. Matomo is the leading open alternative to Google Analytics that gives you full control over your data. Matomo lets you easily collect data from websites & apps and visualise this data and extract insights. Privacy is built-in. We love Pull Requests!

A customizable Log Viewer with ability to create custom providers. Can be used with C#, C++, Python, Java and others

Fast and Lightweight Logs and Metrics processor for Linux, BSD, OSX and Windows

Hastic data management server for analyzing patterns and anomalies from Grafana

Magento 2 - Inventory Log by KiwiCommerce

A Python toolkit for rule-based/unsupervised anomaly detection in time series

An artisan command to tail your application logs

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

An Integrated Experimental Platform for time series data anomaly detection.

Time-tracker

An Arduino library providing a minimal interface to log data on flash memory and SD cards with ESP8266 and ESP32

Lightweight, non-intrusive data uploader for Elite Dangerous

Code for reproducing f-AnoGAN in Pytorch