Search Results for "squirrel-sql-4.1.0-install.jar"
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4143 projects for "squirrel-sql-4.1.0-install.jar" with 1 filter applied:
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SQuirreL SQL Client
A Java SQL client for any JDBC compliant database
SQuirreL SQL Client is a graphical SQL client written in Java that will allow you to view the structure of a JDBC compliant database, browse the data in tables, issue SQL commands etc. -
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Hello SQL
Spanish-language course repository that teaches fundamentals of SQL
hello-sql is a beginner-friendly, Spanish-language course repository that teaches the fundamentals of SQL and relational databases through practical examples. It focuses mainly on MySQL for lessons due to its ubiquity in education and professional environments, while also introducing PostgreSQL to broaden learners’ exposure to modern database tooling. -
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sqlc SQL Compiler
Generate type-safe code from SQL
sqlc generates type-safe code from SQL. You write queries in SQL. You run sqlc to generate code with type-safe interfaces to those queries. You write application code that calls the generated code. -
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MyBatis Dynamic SQL
SQL DSL (Domain Specific Language) for Kotlin and Java
This library is a general-purpose SQL generator. Think of it as a typesafe and expressive SQL DSL (domain-specific language), with support for rendering SQL formatted properly for MyBatis3 and Spring's NamedParameterJDBCTemplate. The library also contains extensions for Kotlin that enable an idiomatic Kotlin DSL for SQL. The library will generate full DELETE, INSERT, SELECT, and UPDATE statements. -
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DB Browser for SQLite
The DB Browser for SQLite
DB Browser for SQLite (DB4S) is a high quality, visual, open source tool to create, design, and edit database files compatible with SQLite. DB4S is for users and developers who want to create, search, and edit databases. DB4S uses a familiar spreadsheet-like interface, and complicated SQL commands do not have to be learned. This program is not a visual shell for the sqlite command line tool, and does not require familiarity with SQL commands. It is a tool to be used by both developers and end users, and must remain as simple to use as possible in order to achieve these goals. Import and export records as text, import and export tables from/to CSV files, import and export databases from/to SQL dump files, issue SQL queries and inspect the results, examine a log of all SQL commands issued by the application, plot simple graphs based on table or query data. -
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PowerUpSQL
A PowerShell toolkit for attacking SQL Server
PowerUpSQL is a PowerShell toolkit focused on auditing, discovering, and post-exploitation activities for Microsoft SQL Server environments. It bundles a wide range of functions that help enumerate SQL Server instances, configuration settings, and potentially risky features so operators and testers can quickly understand an instance's security posture. The project is aimed at internal penetration testers and red-teamers but is also useful for database administrators and defenders who want to inventory SQL Server attack surface and hunt for misconfigurations. ... -
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Go SQLBuilder
Powerful SQL string builder library plus a zero-config ORM
Go-SQLBuilder is a flexible and powerful SQL string builder library for the Go programming language. It aids developers in constructing SQL queries programmatically, ensuring code readability and maintainability. -
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Osquery
SQL operating system instrumentation and monitoring framework
...The tools make low-level operating system analytics and monitoring both performant and intuitive. Osquery exposes an operating system as a high-performance relational database. This allows you to write SQL queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.Osquery queries your devices like a database. Osquery uses basic SQL commands to leverage a relational data-model to describe a device. ... -
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Grafana
Leading open-source visualization and observability platform
...It enables teams to query, visualize, alert on, and explore telemetry data from multiple sources in a single interface. With support for 100+ data source plugins—including Prometheus, Loki, Elasticsearch, InfluxDB, SQL/NoSQL databases, and OpenTelemetry—Grafana helps teams correlate metrics, logs, and traces across applications and infrastructure. Users can build interactive dashboards with rich visualizations, template variables, and reusable panels to monitor systems and troubleshoot issues in real time. Grafana includes capabilities such as ad hoc data exploration, alerting, annotations, and flexible query support. ... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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PartiQL Lang Kotlin
PartiQL libraries and tools in Kotlin.
This is a Kotlin implementation of the PartiQL specification. PartiQL is based on SQL-92 and has added support for working with schemaless hierarchical data. PartiQL’s extensions to SQL are easy to understand, treat nested data as first-class citizens, and compose seamlessly with each other and SQL. This repository contains an embeddable reference interpreter, test framework, and tests for PartiQL in Kotlin. -
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Squel
SQL query string builder for Javascript
Squel is a JavaScript library for fluent and safe SQL query string building, usable both in Node.js environments and in the browser. Works in Node.js and in the browser. Supports the standard SQL queries: SELECT, UPDATE, INSERT, and DELETE. Supports non-standard commands for popular DB engines such as MySQL. Supports parameterized queries for safe value escaping. It can be customized to build any query or command of your choosing. -
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GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. -
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Database connection pool with support for lots of languages and databases.
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JsStore
A complete IndexedDB wrapper with SQL like syntax
Execute Database operation in browsers with JsStore. JsStore is an indexedDB wrapper. It makes IndexedDB super easy with its SQL-like APIs. Harness the power of JsStore to streamline database operations in your web applications. With its SQL-like API, JsStore simplifies IndexedDB interactions, enabling developers to easily query, filter, and manipulate data with familiar syntax and efficiency. -
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TailwindSQL
TailwindSQL lets you write SQL queries using Tailwind-style class name
TailwindSQL is an experimental library that lets developers write SQL queries using Tailwind-style class names, essentially turning database queries into declarative class attributes that can be used directly in frameworks like React Server Components. Inspired by the simplicity and utility of Tailwind CSS, TailwindSQL allows developers to describe database queries using a familiar syntax such as db-table-column-where-field-value, collapsing traditional SQL into readable, utility-driven structures that map directly to data fetches. ... -
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Ktorm
A lightweight ORM framework for Kotlin with strong-typed SQL DSL
Ktorm is a lightweight and efficient ORM Framework for Kotlin directly based on pure JDBC. It provides strong-typed and flexible SQL DSL and convenient sequence APIs to reduce our duplicated effort on database operations. All the SQL statements, of course, are generated automatically. Ktorm is open source and available under the Apache 2.0 license. Please leave a star if you've found this library helpful. -
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Dash Data Agent
Self-learning data agent that grounds its answers in layers of content
Dash is a self-learning data agent built by the Agno AI community that generates grounded answers to English queries over structured data by synthesizing SQL and reasoning based on six layers of context, improving automatically with each run. It sidesteps common limitations of simple text-to-SQL agents by incorporating multiple context layers — including schema structure, human annotations, known query patterns, institutional knowledge from docs, machine-discovered error patterns, and live runtime context — to generate SQL queries that are both technically correct and semantically meaningful. ... -
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Polars
Dataframes powered by a multithreaded, vectorized query engine
...It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts. -
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Better Stack JavaScript client
Better Stack JavaScript client
...And we believe that with the new fully integrated Better Stack platform, we’re simplifying the experience for the developers leveraging Better Stack even further. Formerly Logtail, lets you visualize your entire stack, turn your logs into structured data, and query everything like a single database with SQL. Customize retention per source to retain and query everything you want. No need to archive your logs to S3 anymore. Search all your logs anytime. See what metrics your teammates are looking at, comment on note-worthy data spikes and share log fragments with one click. Building a great software is a multiplayer game. Get answers fast with a powerful SQL query builder. ... -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
...Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. It integrates natively with Android (replacing older atrace/Systrace paths) and can sit alongside custom instrumentation in apps or services through its SDKs. -
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AI Data Science Team
An AI-powered data science team of agents
...It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. The project includes ready-to-use applications that showcase these agents in action, such as an exploratory data analysis copilot that generates reports, a pandas data analyst that combines wrangling and plotting, and SQL database agents that can query business databases and output results directly. -
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civitai
Open platform for sharing and discovering Stable Diffusion models
Civitai is an open source project that provides the codebase for a platform designed to share and manage generative AI models used for image generation. It focuses primarily on models compatible with Stable Diffusion and related technologies, allowing creators to upload, organize, and distribute custom AI models and related resources. These resources can include textual inversions, hypernetworks, aesthetic gradients, and variational autoencoders that modify or extend the capabilities of... -
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Memori
SQL-native memory layer enabling persistent context for AI agents
Memori is an open source SQL-native memory engine designed to add persistent memory capabilities to AI applications, large language models, and multi-agent systems. It provides a memory layer that automatically captures conversations and interactions between users and AI models, allowing systems to retain knowledge across sessions instead of operating statelessly. -
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MyScaleDB
A @ClickHouse fork that supports high-performance vector search
...MyScaleDB enables developers to perform vector similarity searches using standard SQL syntax, eliminating the need to learn specialized vector database query languages. The database is optimized for high performance and scalability, allowing it to handle extremely large datasets and high query loads typical of production AI applications. -
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PgRx
Build Postgres Extensions with Rust
pgrx is a Rust framework for developing PostgreSQL extensions, making it easier to write safe, high-performance native extensions in Rust. It handles the boilerplate and unsafe FFI needed to interface with Postgres internals, allowing developers to focus on logic. With built-in support for SQL generation, testing, and deployment, pgrx streamlines the extension creation process while embracing Rust’s safety guarantees.
