Search Results for "log analysis tools" - Page 17
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Showing 2012 open source projects for "log analysis tools"
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1
uqlm
Uncertainty Quantification for Language Models, is a Python package
UQLM is a Python library developed to detect hallucinations and quantify uncertainty in the outputs of large language models. The system implements a variety of uncertainty quantification techniques that assign confidence scores to model responses. These scores help developers determine how likely a generated answer is to contain errors or fabricated information. The library includes both black-box and white-box approaches to uncertainty estimation. Black-box methods evaluate model outputs... -
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Gonum
Set of numeric libraries for the Go programming language
...Gonum is a set of packages designed to make writing numerical and scientific algorithms productive, performant, and scalable. Gonum contains libraries for matrices and linear algebra; statistics, probability distributions, and sampling; tools for function differentiation, integration, and optimization; network creation and analysis; and more. We encourage you to get started with Go and Gonum if you are tired of sluggish performance, and fighting C and vectorization, and also if you are struggling with managing programs as they grow larger. Get Gonum if you want code to be fully transparent, and want the ability to read the source code you use. ... -
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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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Rill
Fast SQL-based BI tool for real-time dashboards and analytics
...It helps data teams move from data lake to insight quickly, without the complexity of traditional BI systems. With an embedded in-memory database powered by DuckDB or ClickHouse, queries run in milliseconds, enabling real-time exploration and analysis. Rill supports local and remote data sources such as CSV, Parquet, S3, and GCS, making it flexible across environments. Its BI-as-code model combines SQL, YAML configuration, Git version control, and CLI tools, allowing teams to build, manage, and deploy analytics workflows efficiently. Automatic data profiling and responsive query updates help users understand datasets instantly. ... -
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Infracost
Cloud cost estimates for Terraform in pull requests
Infracost scans for Terraform code changes and checks over 3 million prices to create a simple, understandable cost estimate before any resources are launched. Infracost integrates into CI/CD so everyone knows the cost impact of changes without leaving the workflow. Infracost integrates with Open Policy Agent, Sentinel, and Conftest, enabling DevOps teams to set best practices as policies. Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and... -
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werf
The CLI tool gluing Git, Docker, Helm, and Kubernetes
...In short, that's what we call GitOps today. werf is not a complete CI/CD solution, but a tool for creating pipelines that can be embedded into any existing CI/CD system. It literally "connects the dots" to bring these practices into your application. We consider it a new generation of high-level CI/CD tools. werf builds Docker images using Dockerfiles or an alternative fast built-in builder based on the custom syntax. It also deletes unused images from the Docker registry. werf deploys your application to Kubernetes using a chart in the Helm-compatible format with handy customizations and improved rollout tracking mechanism, error detection, and log output. -
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Bloom
An open source, agentic Loom alternative
Bloom is an open-source, agent-centric video recording and processing platform designed as a modern alternative to tools like Loom, but with a strong emphasis on AI-driven workflows and programmability. It allows users to record sessions locally while simultaneously preparing those recordings to be processed, indexed, and analyzed by AI systems, effectively turning simple screen captures into structured, queryable data. The project is part of the broader VideoDB ecosystem, which focuses on... -
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Budget
Get a grip on your finances
...The application allows users to input transactions manually or import them from CSV files, making it adaptable to different workflows and banking systems. It includes tagging systems for categorizing expenses, enabling detailed analysis of spending habits and financial priorities. Budget also provides reporting tools that generate visual insights such as weekly balances and category breakdowns, helping users understand trends over time. Additional features such as receipt uploads and email summaries enhance usability and provide a more complete financial tracking experience. -
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MetaScreener
AI-powered tool for efficient abstract and PDF screening
MetaScreener is an open-source AI-assisted tool designed to streamline the screening process in systematic literature reviews and academic research workflows. The system helps researchers analyze large collections of academic abstracts and research papers to determine which studies are relevant for inclusion in evidence synthesis projects. Instead of manually reviewing hundreds or thousands of documents, researchers can use MetaScreener to apply machine learning techniques that assist with... -
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10
Spider
High-performance Rust web crawler and scraper for large-scale data
...It supports advanced capabilities such as headless browser rendering, background crawling tasks, and configurable rules that control crawl depth or ignored paths. These capabilities make the project suitable for building search indexers, data extraction pipelines, & SEO analysis tools. -
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linkedin2username
Generate probable usernames from LinkedIn company employee lists
...This process helps security researchers, penetration testers, and investigators perform reconnaissance by building potential username lists for further security testing or OSINT analysis. Unlike tools that rely on official APIs, linkedin2username operates as a pure web scraper and therefore does not require API keys. The script uses Selenium to automate browser interactions and perform searches within LinkedIn to gather employee data. -
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flagger
Progressive delivery Kubernetes operator (Canary, A/B Testing)
...Flagger implements several deployment strategies (Canary releases, A/B testing, Blue/Green mirroring) using a service mesh (App Mesh, Istio, Linkerd, Kuma, Open Service Mesh) or an ingress controller (Contour, Gloo, NGINX, Skipper, Traefik, APISIX) for traffic routing. For release analysis, Flagger can query Prometheus, InfluxDB, Datadog, New Relic, CloudWatch, Stackdriver or Graphite and for alerting it uses Slack, MS Teams, Discord, and Rocket. Flagger can be configured with Kubernetes custom resources and is compatible with any CI/CD solutions made for Kubernetes. Since Flagger is declarative and reacts to Kubernetes events, it can be used in GitOps pipelines together with tools like Flux. -
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watercrawl
AI-ready web crawler that extracts and structures website content
WaterCrawl is an open source web crawling and data extraction platform designed to transform website content into structured data suitable for machine learning and AI workflows. It enables developers and researchers to crawl web pages, extract meaningful information, and convert it into formats that are easier to process and analyze. It provides a modern crawling system that can automatically navigate links, control crawl depth, and collect content from targeted sections of a website.... -
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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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aaif-goose
An open source, extensible AI agent that goes beyond code suggestions
goose is an open-source AI agent that runs locally on a user’s machine. It is built for more than coding, supporting research, writing, automation, data analysis, workflows, and general task execution. The project provides a desktop app, command-line interface, and API, which gives users multiple ways to work with the agent. goose is designed to connect with tools and local context so it can help complete practical tasks instead of only answering chat prompts. It is useful for developers, analysts, writers, and technical users who want an extensible assistant that can operate inside their environment. ... -
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MindWork AI Studio
Independent cross-platform desktop app for local and cloud LLMs
...It is built with a strong focus on accessibility and democratization, enabling users to run AI workflows even on low-cost hardware while maintaining flexibility in choosing providers such as OpenAI, Gemini, Anthropic, and self-hosted solutions like Ollama or llama.cpp. The platform introduces a concept of “assistants,” which abstract prompting into reusable tools for tasks like translation, summarization, or document analysis, making it easier for non-technical users to leverage AI capabilities. It also incorporates advanced features such as retrieval-augmented generation, plugin extensibility, and support for multiple data sources, allowing users to integrate their own files and knowledge bases into conversations. -
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Markdown Viewer Agent Skills
Opinionated skills for AI coding agents to create stunning diagrams
Markdown Viewer Agent Skills is a repository that provides a collection of modular AI “skills” designed to extend the capabilities of agents or tools that operate on markdown-based workflows. These skills are typically structured as self-contained instruction sets that define how an AI should perform specific tasks, such as formatting, analysis, or content transformation. The project emphasizes simplicity and composability, allowing developers to integrate these skills into existing systems without requiring complex infrastructure. ... -
18
Book6_First-Course-in-Data-Science
From Addition, Subtraction, Multiplication, and Division to ML
...The repository contains draft chapters, supporting Python code, and visual materials designed to guide readers from basic mathematical operations toward practical machine learning understanding. The goal of the project is to make complex topics such as statistics, algorithms, and data analysis more accessible to learners by breaking concepts into clear explanations supported by code examples and diagrams. The material emphasizes a learning approach that combines theoretical knowledge with hands-on experimentation, often recommending interactive tools such as Jupyter notebooks to explore the ideas presented in the book. -
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SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
...The repository structure suggests a focus on flexibility and extensibility, with potential integration into other ZAI tooling for training or analysis. -
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Fli
Google Flights MCP and Python Library
...The library supports a wide range of flight search capabilities, including filtering by airline, departure time, number of stops, cabin class, and sorting by price or duration, making it suitable for both casual queries and advanced travel analysis. In addition to its CLI interface, fli includes a Model Context Protocol (MCP) server that allows AI assistants to interact with flight data using structured tools, enabling natural language queries and automation workflows. -
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TimeMixer
Decomposable Multiscale Mixing for Time Series Forecasting
TimeMixer is a deep learning framework designed for advanced time series forecasting and analysis using a multiscale neural architecture. The model focuses on decomposing time series data into multiple temporal scales in order to capture both short-term seasonal patterns and long-term trends. Instead of relying on traditional recurrent or transformer-based architectures, TimeMixer is implemented as a fully multilayer perceptron–based model that performs temporal mixing across different... -
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GitDiagram
AI tool that converts GitHub repositories into interactive diagrams
GitDiagram is an open source web application designed to help developers quickly understand the structure and architecture of GitHub repositories by automatically generating interactive diagrams. It analyzes repository metadata such as the file tree and project documentation to build a visual representation of how different components of a project relate to one another. It uses an AI-powered pipeline to interpret repository structure and transform that information into system design diagrams... -
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XRAY
XRay for recon, mapping and OSINT gathering from public networks
XRAY is a modular security toolset that helps developers and security professionals analyze, fuzz, and test web applications, protocols, and network services for vulnerabilities. It provides a framework for writing and executing inspection modules that can parse structured data (JSON, XML, HTML), traverse graphs of endpoints, and perform intelligent probing guided by discovered surface area. XRay is typically used as a reconnaissance and vulnerability discovery engine in red-team or... -
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PostgresML
The GPU-powered AI application database
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization... -
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Amazon SNS Message Validator for PHP
Amazon SNS message validation for PHP
The Amazon SNS Message Validator for PHP library allows you to validate that incoming HTTP(S) POST messages are valid Amazon SNS notifications. This library is standalone and does not depend on the AWS SDK for PHP or Guzzle; however, it does require PHP 5.4+ and that the OpenSSL PHP extension is installed. Next, you must create an instance of MessageValidator, and then use either the isValid() or validate(), methods to validate the message. The message validator checks the SigningCertURL,...