Search Results for "correlation"
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Showing 227 open source projects for "correlation"
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Social-Analyzer
API, CLI, and Web App for analyzing and finding a person's profile
...The project includes modular detection and analysis components that users can enable depending on their investigative needs. It is commonly used in cybersecurity, digital forensics, and reconnaissance workflows where identity correlation is required. Social Analyzer emphasizes flexibility, allowing integration into automated pipelines or manual investigations. Overall, the project functions as a powerful reconnaissance engine for mapping online identities at scale. -
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UTMStack
Customizable SIEM and XDR powered by Real-Time correlation
...UTMStack is a unified threat management platform that merges SIEM (Security Information and Event Management) and XDR (Extended Detection and Response) technologies. Our unique approach allows real-time correlation of log data, threat intelligence, and malware activity patterns from multiple sources, enabling the identification and halting of complex threats that use stealthy techniques. UTMStack stands out in threat prevention by surpassing the boundaries of traditional systems. Our software platform can swiftly analyze log data to identify and halt threats at their source in real-time, even if the threat was not directly detected on the server itself. ... -
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Pandas Profiling
Create HTML profiling reports from pandas DataFrame objects
...Comprehensive and automatic list of potential data quality issues (high correlation, skewness, uniformity, zeros, missing values, constant values, between others). -
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Sweetviz
Visualize and compare datasets, target values and associations
...Its goal is to help quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Shows how a target value (e.g. "Survived" in the Titanic dataset) relates to other features. Sweetviz integrates associations for numerical (Pearson's correlation), categorical (uncertainty coefficient) and categorical-numerical (correlation ratio) datatypes seamlessly, to provide maximum information for all data types. Automatically detects numerical, categorical and text features, with optional manual overrides. min/max/range, quartiles, mean, mode, standard deviation, sum, median absolute deviation, coefficient of variation, kurtosis, skewness. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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ShinyItemAnalysis
Test and Item Analysis via Shiny
ShinyItemAnalysis is an R package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters. Exploration of total and standard scores. Analysis of measurement error and reliability. Analysis of correlation structure and validity. Traditional item analysis. Item analysis with regression models. Item analysis with IRT models. Detection of differential item functioning. Number of toy datasets is available, the interactive application also allows the users to upload and analyze their own data and to automatically generate PDF or HTML reports. ... -
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SQLAlchemy
The Database Toolkit for Python
...Domain models can be constructed and manipulated naturally, and changes are synchronized with the current transaction automatically. A relationally-oriented query system, exposing the full range of SQL's capabilities explicitly, including joins, subqueries, correlation, and most everything else, in terms of the object model. Writing queries with the ORM uses the same techniques of relational composition you use when writing SQL. -
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AutoViz
Automatically Visualize any dataset, any size
...With a single command, the library can automatically generate dozens of charts and graphs that reveal insights into the structure and quality of the data. AutoViz supports a wide range of visualization types including scatter plots, histograms, bar charts, and correlation plots, making it suitable for analyzing both structured and large datasets. The system also includes built-in tools for evaluating data quality and identifying potential issues such as missing values or unusual distributions. By automating the visualization process, AutoViz allows users to rapidly explore datasets before applying machine learning models or statistical analysis. -
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Device Activity Tracker
A phone number can reveal whether a device is active
Device Activity Tracker is a platform created to monitor and log the activity of digital devices across networks, giving users visibility into usage patterns, connection events, app launches, and interaction timelines that can be applied for security monitoring, parental oversight, productivity tracking, or device lifecycle analytics. It integrates with devices via sensors or APIs, continually capturing activity metrics and reporting them to a centralized dashboard that visualizes patterns... -
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Keep
The open-source alert management and AIOps platform
Single pane of glass, filtering, bi-directional integrations, alert correlation, workflows, enrichment, dashboards. Keep is an alerting framework for DevOps that integrates with various monitoring tools, helping teams manage alerts and notifications effectively. -
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SimpleX
The first messaging platform operating without user identifiers
...To prevent it SimpleX apps pass one-time keys out-of-band when you share an address as a link or a QR code. Double-ratchet protocol. OTR messaging with perfect forward secrecy and break-in recovery. NaCL cryptobox in each queue to prevent traffic correlation between message queues if TLS is compromised. -
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pmacct
pmacct is a small set of multi-purpose passive network monitoring tool
...IPv4 and IPv6 traffic; collect and correlate control-plane data via BGP and BMP; collect and correlate RPKI data; collect infrastructure data via Streaming Telemetry. Each component works both as a standalone daemon and as a thread of execution for correlation purposes (ie. enriching NetFlow with BGP data). -
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Plaso
Super timeline all the things
Plaso (Plaso Langar Að Safna Öllu), or "super timeline all the things," is a Python-based engine designed for automatic creation of timelines in digital forensic investigations. It processes various log files and artifacts to generate a chronological sequence of events, aiding analysts in understanding system activities. -
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Session Desktop
A Decentralized, Onion Routed, Private Messenger
...Built on the Session protocol and the Loki network, it routes messages through a distributed onion-routing network that hides metadata like sender, timing, and location so that conversations are resistant to surveillance and correlation attacks. The desktop client pairs seamlessly with Session mobile apps but can also be used independently to communicate with Session contacts in a familiar desktop interface that supports a full keyboard, global notifications, drag-and-drop media sharing, and local file access. Session emphasizes zero-knowledge privacy, meaning that only the participants in a conversation can read the messages. -
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CausalityTools.jl
Algorithms for detecting associations, dynamical influences
CausalityTools.jl is a package for quantifying associations and dynamical coupling between datasets, independence testing, and causal inference. Association measures from conventional statistics, information theory, and dynamical systems theory, for example, distance correlation, mutual information, transfer entropy, convergent cross mapping and a lot more. A dedicated API for independence testing, which comes with automatic compatibility with every measure-estimator combination you can think of. For example, we offer the generic SurrogateTest, which is fully compatible with TimeseriesSurrogates.jl, and the LocalPermutationTest for conditional independence testing. -
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OpenCTI
Open Cyber Threat Intelligence Platform
OpenCTI is a comprehensive open-source cyber threat intelligence platform designed to help organizations collect, structure, analyze, and share information about cyber threats. It provides a modern web application backed by a GraphQL API and a data model aligned with the STIX2 standard to ensure interoperability across the threat intelligence ecosystem. The platform enables teams to correlate technical indicators such as observables and TTPs with higher-level context like attribution and... -
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Sysdig Inspect
A powerful opensource interface for container troubleshooting
Sysdig Inspect is a powerful opensource interface for container troubleshooting and security investigation. Inspect's user interface is designed to intuitively navigate the data-dense sysdig captures that contain granular system, network, and application activity of a Linux system. Sysdig Inspect helps you understand trends, correlate metrics and find the needle in the haystack. It comes packed with features designed to support both performance and security investigations, with deep... -
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ydata-profiling
Create HTML profiling reports from pandas DataFrame objects
ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json. -
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reNgine
Automated framework for web application reconnaissance and scanning
reNgine is an automated reconnaissance framework designed to simplify and enhance the process of gathering information about web applications during security assessments. It provides a streamlined workflow for penetration testers, bug bounty hunters, and security teams who need to perform reconnaissance efficiently and at scale. The platform integrates multiple open-source reconnaissance tools into a unified environment with a configurable scanning engine and an intuitive web interface.... -
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Ocelot
.NET core API Gateway
Ocelot is a .NET API Gateway. This project is aimed at people using .NET running a micro services / service-oriented architecture that need a unified point of entry into their system. However, it will work with anything that speaks HTTP and run on any platform that ASP.NET Core supports. Ocelot manipulates the HttpRequest object into a state specified by its configuration until it reaches a request builder middleware where it creates a HttpRequestMessage object which is used to make a... -
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Metabigor
Command-line OSINT and reconnaissance tool without API keys
Metabigor is a command-line intelligence and OSINT tool designed to perform reconnaissance and security research tasks without requiring API keys. It focuses on simplifying access to public intelligence sources so that researchers, penetration testers, and bug bounty hunters can gather information efficiently from a single interface. It enables users to discover IP ranges, domains, and infrastructure details related to organizations, domains, or autonomous systems. Metabigor integrates... -
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HugeGraph
A graph database that supports more than 100+ billion data
...HugeGraph supports fast import performance in the case of more than 10 billion Vertices and Edges Graph, millisecond-level OLTP query capability, and can be integrated into big data platforms like Hadoop or Spark for OLAP analysis. The main scenarios of HugeGraph include correlation search, fraud detection, and knowledge graph. Not only supports Gremlin graph query language and RESTful API but also provides commonly used graph algorithm APIs. To help users easily implement various queries and analyses, HugeGraph has a full range of accessory tools, such as supporting distributed storage, data replication, scaling horizontally, and supports many built-in backends of storage engines. -
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HolmesGPT
CNCF Sandbox Project
HolmesGPT is an open-source AI agent designed to help DevOps and site reliability engineering teams diagnose and resolve production incidents. The system aggregates signals from observability tools such as logs, metrics, alerts, and distributed traces, then analyzes them using large language models to identify potential root causes. Rather than requiring engineers to manually correlate large volumes of monitoring data, HolmesGPT automatically synthesizes evidence and presents explanations in... -
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Giskard
Collaborative & Open-Source Quality Assurance for all AI models
...Created by ML engineers for ML engineers, Giskard enables you to scan your model to find dozens of vulnerabilities. The Giskard scan automatically detects vulnerability issues such as performance bias, data leakage, unrobustness, spurious correlation, overconfidence, underconfidence, unethical issue, etc. Giskard automatically generates relevant tests based on the vulnerabilities detected by the scan. You can easily customize the tests depending on your use case by defining domain-specific data slicers and transformers as fixtures of your test suites. -
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Go gRPC Middleware
Golang gRPC Middlewares: interceptor chaining, auth, logging, retries
...Especially for observability signals (logging, tracing, metrics) interceptors offer semi-auto-instrumentation that improves the consistency of your observability and allows great correlation techniques (e.g. exemplars and trace ID in logs). Demo-ed in examples. This repository offers ready-to-use middleware that implements gRPC interceptors with examples. In some cases, dedicated projects offer great interceptors, so this repository skips those, and we link them in the interceptors list. -
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Measurements.jl
Error propagation calculator and library for physical measurements
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have...
