7 个仓库
Engines for parsing, validating, and auditing database queries to ensure performance and security.
Distinguishing note: No candidates provided; focuses on query structure analysis rather than execution.
Explore 7 awesome GitHub repositories matching data & databases · SQL Analysis Tools. Refine with filters or upvote what's useful.
p3c is a Java static analysis tool and code quality linter designed to enforce professional coding guidelines and quality standards. It utilizes a set of custom rules based on the PMD engine to scan source code for style violations, performance bottlenecks, and potential bugs. The project is distributed as an IDE linting plugin that provides real-time feedback and warnings during development. It also includes functionality for pre-commit code quality gates, allowing modified files to be scanned and blocked if they violate defined rules before being committed to version control. The analysis
Analyzes SQL query structures to detect inefficient joins, improper index usage, and prohibited pattern matching.
Druid is a database connection management and monitoring framework designed to maintain persistent, high-performance links between applications and relational databases. It functions as a resource manager that automates the lifecycle of connection pools, reducing the overhead associated with repeatedly opening and closing network connections. The project distinguishes itself through an integrated query analysis engine that decomposes database statements into structured components. This capability enables real-time security auditing, syntax validation, and metadata extraction, allowing for the
A programmatic engine that decomposes database queries into structured components to facilitate security auditing, performance monitoring, and syntax validation.
Perspective is a columnar data analytics engine and high-performance visualization component powered by WebAssembly. It provides a system for analyzing and visualizing large or streaming datasets through interactive data grids and charts, utilizing a compiled binary to achieve near-native performance within the browser. The project distinguishes itself through a WebSocket-based data streaming interface and deep Apache Arrow integration, which minimize memory overhead when synchronizing tables between servers and clients. It acts as a remote query proxy capable of translating visualization con
Enables immediate grouping, sorting, filtering, and aggregations on datasets via an interactive viewer.
This project is a plugin framework and agentic workflow library designed to connect large language models to professional toolstacks. It provides a system for integrating language models with external data warehouses, CRMs, and other enterprise software to retrieve and manipulate real-time business data. The framework enables the automation of specialized professional tasks through a file-based plugin definition system. It allows for the customization of domain expertise and plugin behavior to align with internal company processes, supported by an enterprise data connector that links models t
Executes optimized SQL queries across enterprise data warehouses to perform deep dataset analysis.
ThinkStats2 是一门计算统计学课程及教育库,旨在通过编程方式教授概率与统计。它提供了一个框架,通过编写 Python 代码并在真实数据集上运行模拟来学习统计概念。 该项目使用交互式笔记本和一系列 Python 模块来提供引导式课程。它强调通过迭代计算实验和基于模拟的测试来验证理论统计定律。 该资源涵盖了数据分析和数据科学培训的广泛功能,允许用户在可编程环境中探索数据集并执行统计分析。
Provides a framework for studying statistical patterns using programmatic analysis of real-world datasets.
Mapshaper 是一个用于处理、简化和转换地理矢量数据的工具,提供命令行界面、Web 浏览器工具和 Node.js 库。它作为一个坐标投影器、矢量数据转换器和 Web 地图资产优化器,旨在在不同的坐标参考系统和文件格式之间转换空间数据集。 该项目以其拓扑保持几何简化而著称,在减少顶点数量的同时保持共享边界,以防止间隙和重叠。它还通过坐标量化和属性过滤进一步优化 Web 资产,以减小文件大小。 该系统涵盖了广泛的功能,包括使用 PROJ 字符串和 EPSG 代码进行坐标重投影,以及跨 Shapefile、GeoJSON、TopoJSON、GeoPackage 和 KML 等格式的数据转换。它提供了广泛的几何处理工具,用于缓冲、裁剪、溶解和修复拓扑,以及用于属性连接、过滤和转换的数据管理实用程序。此外,它还包括用于生成样式化 SVG 导出、经纬网和比例符号地图的视觉功能。 空间处理功能可以通过其 Node.js 库直接集成到 JavaScript 应用程序和构建流水线中。
Provides an overview of files by printing geometry types, feature counts, and coordinate systems.
This project is an edge computing development toolkit and serverless command line interface used to develop, test, and deploy serverless functions to a global edge network. It serves as an edge runtime bundler and resource orchestrator, managing the entire lifecycle of edge projects from local development to worldwide distribution. The toolkit distinguishes itself through distributed workflow management, coordinating stateful instances and the durable execution of long-running processes across the edge. It also provides specialized integrations for edge AI, including the management of vector
Allows writing execution data points to datasets for SQL-based observability and performance analysis.