Search Results for "sql database editor"
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2601 projects for "sql database editor" with 1 filter applied:
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Stigg | SaaS Monetization and Entitlements APIA monetization platform is a standalone middleware that sits between your application and your business applications, as part of the modern enterprise billing stack. Stigg unifies all the APIs and abstractions billing and platform engineers had to build and maintain in-house otherwise. Acting as your centralized source of truth, with a highly scalable and flexible entitlements management, rolling out any pricing and packaging change is now a self-service, risk-free, exercise.
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Intelligent Automation Solutions Built for Modern Finance TeamsDigitally transform your business with workflow automation and integrated payment solutions. Digitally store and secure your data with advanced search and accessibility features that keeps your documents at the tip of your team’s fingers.
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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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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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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. Uses method chaining for ease of use. -
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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. ... -
Next-generation security awareness training. Built for AI email phishing, vishing, smishing, and deepfakes.Assess how your company's digital footprint can be leveraged by cybercriminals. Identify the most at-risk individuals using thousands of public data points and take steps to proactively defend them.
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Grafana
Leading open-source visualization and observability platform
Grafana OSS is the leading open-source platform for visualization and observability. 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... -
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Localflare
local cloudflare
...Instead of juggling multiple CLIs and scattered logs, it gives you a unified UI for common Cloudflare primitives like D1 databases, KV namespaces, R2 buckets, Durable Objects, and Queues. The D1 experience is more than a viewer: it includes a SQL editor and a data browser with inline editing, filtering, sorting, bulk operations, and even dummy data generation so you can iterate quickly. For KV and R2 it provides practical file-and-record management, letting you view, update, delete, upload, and download as part of your normal dev loop. It also includes tools for testing queue behavior by sending messages and inspecting results, which helps validate event-driven logic without deploying. -
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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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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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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. -
MaintainX is the world-leading mobile-first workflow management platform for industrial and frontline workers.Your day-to-day maintenance tasks, simplified. MaintainX eliminates the paperwork, so you can spend less time on your clipboard and more time getting things done.
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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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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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Aix-DB
Based on the LangChain/LangGraph framework
Aix-DB is an open-source intelligent data analysis platform that combines large language models with database technologies to enable conversational data exploration. The system is designed as a ChatBI solution that allows users to query datasets using natural language and receive structured insights, charts, and visualizations automatically. Built on frameworks such as LangChain and LangGraph, Aix-DB integrates retrieval-augmented generation and Text-to-SQL capabilities to convert user questions into executable database queries. ... -
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Vanna 2.0
Chat with your SQL database
Vanna is an open-source Python framework that enables natural language interaction with databases by converting user questions into executable SQL queries using large language models. The framework uses a retrieval-augmented generation architecture that learns from database schemas, documentation, and past query examples to generate accurate queries tailored to a specific dataset. Vanna can be integrated into many environments, including notebooks, web applications, messaging platforms, and data dashboards, making it flexible for analytics and data exploration workflows. ... -
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Rill
Fast SQL-based BI tool for real-time dashboards and analytics
Rill is an operational BI tool that turns raw datasets into fast, interactive dashboards using SQL and a code-first approach. 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. ... -
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OpenPromptStudio
Visual editor for AI prompts with translation, categories, and tools
...A built-in prompt dictionary helps users quickly access commonly used prompt fragments and reuse them in different projects. Users can optionally manage and maintain this dictionary using a connected workspace database, enabling more flexible prompt organization. -
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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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SqlSugar
.Net aot ORM Fastest ORM DB2 Hana Simple Easy VB.NET Sqlite orm
SqlSugar is a high-performance, easy-to-use Object-Relational Mapping (ORM) framework for .NET. It supports multiple database systems and offers a rich set of features that simplify database operations, making it a popular choice among .NET developers. -
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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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RecordEditor
Editor for Fixed Width, Csv and Existing Xml files.
The RecordEditor is a Data File editor for Flat Files (delimited and fixed field position). It supports Unix / PC / Legacy (e.g. Mainframe) file formats, both Text and binary files. The Editor uses a Record-Layout description to format the files. This is ideal for Fixed width (Text or Binary) files, Cobol Data Files, Mainframe files and complicated Csv files. Cobol Copybooks can be used to format Cobol Data files. As well as an editor, The following utilities are supplied * Formatted... -
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Beam
A type-safe, non-TH Haskell SQL library and ORM
Beam is a Haskell interface to relational databases. Beam uses the Haskell type system to verify that queries are type-safe before sending them to the database server. Queries are written in a straightforward, natural monadic syntax. Combinators are provided for all standard SQL92 features, and a significant subset of SQL99, SQL2003, and SQL2008 features. Beam is standards-compliant but not naive. We recognize that different database backends provide different guarantees, syntaxes, and... -
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Seal Report
Database Reporting Tool and Tasks (.Net)
Seal Report is an open-source tool for the generation of daily reports from any database. It offers a complete framework for producing dynamic reports and dashboards, with a focus on simplicity and ease of use. -
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Apache Doris
MPP-based interactive SQL data warehousing for reporting and analysis
Apache Doris is a modern MPP analytical database product. It can provide sub-second queries and efficient real-time data analysis. With it's distributed architecture, up to 10PB level datasets will be well supported and easy to operate. Apache Doris can meet various data analysis demands, including history data reports, real-time data analysis, interactive data analysis, and exploratory data analysis. -
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Open Gauss
Project-scoped Lean workflow orchestrator from Math, Inc.
Open Gauss is an enterprise-grade open-source relational database management system designed to handle large-scale data processing with high performance, reliability, and security. It is based on the PostgreSQL ecosystem but significantly extends its capabilities through architectural optimizations, AI-driven features, and enterprise-level enhancements. The database organizes data using the relational model, storing structured information in tables composed of rows and columns while supporting standard SQL for querying and management. ... -
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HeavyDB
HeavyDB (formerly MapD/OmniSciDB)
HeavyDB is an open-source GPU-accelerated analytical database designed to perform extremely fast queries on large datasets. The system is built as a SQL-based relational columnar database engine that leverages modern hardware parallelism, including GPUs and multicore CPUs. Its architecture allows users to query datasets containing billions of rows in milliseconds without requiring traditional indexing, pre-aggregation, or sampling techniques. -
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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. ...
