6 个仓库
Techniques for isolating data points using logical conditions.
Distinguishing note: Focuses on the filtering mechanism rather than the data structure itself.
Explore 6 awesome GitHub repositories matching data & databases · Boolean Data Filtering. Refine with filters or upvote what's useful.
Pandas is a high-performance data analysis library that provides a comprehensive framework for manipulating, cleaning, and transforming structured datasets. It centers on labeled one-dimensional and two-dimensional data structures, allowing users to construct, filter, and reshape tabular information while performing complex arithmetic and logical operations. The library distinguishes itself through a sophisticated indexing engine that enables automatic data alignment during calculations and relational merges. By utilizing a block-based memory layout, it optimizes cache locality for vectorized
Enables precise data selection using boolean vectors and logical expressions.
Instaloader is a Python library and command-line utility designed for the automated retrieval, archiving, and analysis of Instagram content. It provides a programmatic interface to fetch media, captions, and metadata from public or private profiles, hashtags, and stories, while maintaining persistent user sessions for authorized access. The tool distinguishes itself through robust archive management and traffic control mechanisms. It supports incremental synchronization, allowing users to resume interrupted downloads and update local collections without redundant requests. To ensure reliable
Applies boolean logic to post attributes to selectively download relevant media and metadata.
This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p
Provides capabilities to isolate and filter data points using logical conditions and boolean masks.
Falco is an eBPF runtime security monitor and cloud native detection engine that identifies abnormal behavior and security threats across hosts and containers. It functions as a Linux kernel event auditor, capturing system calls and kernel events in real-time to detect malicious activity. The system distinguishes itself through a rule-based threat detection model that evaluates system activity against a library of community-maintained rules and custom security definitions. It enriches raw kernel events with container and Kubernetes metadata to provide observability into isolated environments
Implements boolean operators and comparison expressions to evaluate system call data for triggering security alerts.
grv 是一个基于终端的版本控制客户端和交互式 Git 仓库浏览器。它作为一个终端用户界面,用于浏览提交历史、检查代码差异以及管理 Git 仓库中的分支和标签。 该项目的特色在于一个图形化提交图可视化器,直接在终端中渲染分支模式和合并历史。它采用平铺视图布局引擎和标签页工作空间管理,以同时显示多个仓库视角,并由实时文件系统监控支持,以在仓库更改时自动更新界面。 该系统提供了全面的版本控制管理能力,包括暂存文件和创建提交。它包含一个用于使用布尔逻辑和正则表达式过滤仓库历史的查询引擎,以及一个用于定义键绑定、视觉主题和自定义 Shell 命令序列的可自定义工作流系统。
Isolates commits and references using boolean queries, regular expressions, and date comparisons.
TheHive is a security incident response platform and multi-tenant case management system. It functions as a Security Orchestration, Automation, and Response (SOAR) tool and a threat intelligence platform designed to coordinate security investigations by managing alerts, cases, and observables. The platform is distinguished by its multi-tenant architecture, which isolates data across different organizations while supporting selective cross-tenant sharing. It features a SOAR automation engine capable of executing sandboxed JavaScript logic to automate workflows and trigger response actions thro
Evaluates incoming security events against field values and operators to trigger automated actions.