Awesome GitHub RepositoriesSQL Query Profilers

Azure Data Studio is a cross-platform SQL database management IDE used for writing queries, managing schemas, and administering relational databases. It functions as a comprehensive environment for relational database management, providing a structured interface for executing SQL queries and browsing database objects. The platform is distinguished by its interactive data notebooks, which combine executable code cells, narrative text, and visualizations for data analysis. It also includes specialized tools for database migration, allowing users to assess and transfer schemas and data from on-p

jOOQ is a type-safe SQL query builder for Java that generates code from live database schemas, enabling compile-time validation of SQL syntax and data types. Its core identity is built around a fluent DSL that mirrors SQL structure, a code generator that maps tables, views, and routines to Java objects, and a multi-dialect engine that translates the same DSL into vendor-specific SQL for over 30 databases. The project also includes a SQL parser and transformer for refactoring or dialect conversion, reactive stream integration for non-blocking query execution, and a JDBC proxy diagnostics tool f

Perfetto is a platform for system-level performance tracing and analysis on Linux and Android. It combines a high-throughput trace recorder, a SQL-based query engine, and a browser-based visualizer into a single toolchain. The platform covers CPU scheduling and call-stack profiling, native and Java heap memory allocation tracking, GPU and graphics events, and system-wide counters such as CPU frequency and power consumption. The architecture decouples trace recording from offline analysis, using a compact protobuf format for event encoding and columnar storage for efficient SQL queries. The we

Telescope Laravel एप्लिकेशन के लिए एक डिबगिंग डैशबोर्ड और डेवलपमेंट टूल है जो अनुरोधों, अपवादों, डेटाबेस क्वेरी और लॉग की निगरानी के लिए एक वेब इंटरफेस प्रदान करता है। यह एक PHP एप्लिकेशन मॉनिटर और डायग्नोस्टिक सहायक के रूप में कार्य करता है, जो बग की पहचान करने और उन्हें हल करने के लिए सिस्टम के निष्पादन जीवनचक्र को ट्रैक करता है। यह टूल SQL क्वेरी और Redis कमांड के लिए विशेष प्रोफाइलर, और आउटगोइंग ईमेल के लिए इन-ब्राउज़र पूर्वावलोकन सिस्टम की पेशकश करके खुद को अलग करता है। इसमें कंसोल कमांड और अनुमति लॉजिक को सत्यापित करने के लिए प्राधिकरण गेट जाँच के लिए एक समर्पित ऑडिटिंग सिस्टम भी शामिल है। प्लेटफ़ॉर्म बैकग्राउंड जॉब और प्रक्रिया ट्रैकिंग, कैश ऑपरेशन निरीक्षण, और एप्लिकेशन इवेंट मॉनिटरिंग सहित अवलोकन क्षेत्रों की एक विस्तृत श्रृंखला को कवर करता है। यह हेडर और सत्र डेटा के माध्यम से अनुरोध जीवनचक्र का विश्लेषण करता है, अपवादों के लिए पूर्ण स्टैक ट्रेस रिकॉर्ड करता है, और व्यू रेंडरिंग तथा मॉडल हाइड्रेशन की निगरानी करता है। निगरानी इंटरफेस तक पहुंच एक केंद्रीकृत प्राधिकरण गेट के माध्यम से प्रबंधित की जाती है।

Django Silk is a profiling and inspection toolset for Django applications designed to capture SQL queries, HTTP request data, and execution timing for diagnostics. It functions as a performance profiler and debugging middleware that records runtime execution data to provide a comprehensive overview of application behavior. The system includes a database profiler for identifying slow operations through detailed timing data and an HTTP request inspector for reviewing headers, bodies, and network traffic via a web interface. It allows for the reproduction of specific server requests through gene

Baserow is a self-hosted, no-code relational database platform built on PostgreSQL. It provides a spreadsheet-like interface for structuring and managing data without writing code, while exposing all database resources via a REST API to support headless architectures. The platform distinguishes itself by integrating large language models and embedding servers to power AI assistants and automated data generation. It further extends its utility as a no-code application builder, allowing users to create custom internal portals, dashboards, and business tools using visual logic and managed data.

FalkorDB is a high-performance graph database management system and vector graph database. It serves as a knowledge graph construction tool and a GraphRAG knowledge store, integrating structured property graphs with vector search to provide grounded context for large language models. The engine is designed as a multi-tenant graph engine, capable of hosting thousands of isolated datasets within a single instance. The system distinguishes itself by using linear algebra for query execution, treating relationship tensors as matrix multiplications to achieve low-latency multi-hop traversals. It ut