Search Results for "csv to sql"
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Showing 251 open source projects for "csv to sql"
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SQL Notebook
SQL Notebook — Casual data exploration in SQL
SQL Notebook is a free Windows application for querying and analyzing data across multiple sources, including SQLite, PostgreSQL, Excel, and CSV files. It combines a SQL editor with a notebook interface, allowing for data exploration, transformation, and visualization in one place. SQL Notebook is ideal for analysts and data enthusiasts. -
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SQL Explorer
Easily share data across your company via SQL queries
SQL Explorer aims to make the flow of data between people fast, simple, and confusion-free. It is a Django-based application that you can add to an existing Django site, or use as a standalone business intelligence tool. Quickly write and share SQL queries in a simple, usable SQL editor, preview the results in the browser, share links, download CSV, JSON, or Excel files (and even expose queries as API endpoints, if desired), and keep the information flowing! ... -
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CSV Lint
CSV Lint plug-in for Notepad++ for syntax highlighting
CSV Lint plug-in for Notepad++ for syntax highlighting, csv validation, automatic column and datatype detecting fixed width datasets, change datetime format, decimal separator, sort data, count unique values, convert to xml, json, sql etc. A plugin for data cleaning and working with messy data files. Use CSV Lint for metadata discovery, technical data validation, and reformatting on tabular data files. -
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trdsql
CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN
CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN. Can output to various formats. CLI tool that can execute SQL queries on CSV, LTSV, JSON and TBLN. It is a tool like q, textql and others. The difference from these tools is that the syntax of PostgreSQL or MySQL can be used. Please refer to godoc and _example for usage as a library. Download binary from the releases page(Linux/Windows/macOS). -
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QSV
Blazing-fast Data-Wrangling toolkit
qsv is a fast, command-line CSV data toolkit written in Rust that extends the capabilities of xsv. It’s designed to make working with CSV files at scale easy and efficient, offering over 40 powerful subcommands for tasks like querying, sampling, splitting, deduplicating, and more. qsv is ideal for data engineers, analysts, and developers who need high-performance CSV manipulation on the command line. -
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Countries States Cities Database
Discover our global repository of countries, states, and cities
Full Database of city state country available in JSON, SQL, XML, YAML & CSV format. All Countries, States and cities are Covered and populated with Different Combinations and versions. The API database is regularly updated to ensure the latest data is available to users. Discover our global repository of countries, states, and cities! Get comprehensive data in JSON, SQL, XML, YAML, and CSV formats. -
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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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DuckDB
DuckDB is an in-process SQL OLAP Database Management System
DuckDB is a high-performance analytical database system. It is designed to be fast, reliable and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. ... -
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chDB
chDB is an in-process OLAP SQL Engine
chDB is an in-process SQL OLAP Engine powered by ClickHouse. It is developed by ClickHouse, Inc and open-source contributors. -
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Chat2DB
AI-driven database tool and SQL client
Save time by working with data. Connect to all your data sources, and instantly generate optimal SQL for fast lightning information. If you don't know SQL well, you can get instant information without writing SQL. Generate high-performance SQL for your complicated queries using natural language, as well as correcting errors and getting AI suggestions to optimize the performance of SQL queries. Developers can write complex SQL queries quickly and accurately with the help of the AI SQL editor, saving time and improving development efficiency. ... -
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sq data wrangler
sq data wrangler
sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). ... -
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tableExport.jquery.plugin
jQuery plugin to export a html table to JSON, XML, CSV, TSV, TXT, SQL
jQuery plugin to export an html table to JSON, XML, CSV, TSV, TXT, SQL, Word, Excel, PNG, and PDF. -
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sqlite-utils
Python CLI utility and library for manipulating SQLite databases
...The project also embraces an ecosystem of plugins, so you can add custom SQL functions, extra commands, or UIs (including a terminal UI) via separate packages. Because it’s designed by someone who uses SQLite heavily in real projects, the tool includes many small quality-of-life features. -
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Countries, Languages & Continents data
Countries, Languages & Continents data (capital and currency)
Continents & countries (with languages, capital and currency, native name, calling codes). Continents & countries: ISO 3166-1 alpha-2 code, name, ISO 639-1 language, capital and currency, native name, calling codes. Lists are available in JSON, CSV and SQL formats. Also, contains separate JSON files with additional country Emoji flags data. This version changes a lot in the data structures and placement of the files. So, if your projects depend on the old structure — specify previous versions, <2.0.0. Country item languages field is an Array in JSON files to easily count and match items with a Language item. ... -
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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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Miller
Miller is like awk, sed, cut, join, and sort for name-indexed data
Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the... -
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Nushell
A new type of shell
NuShell (often shortened to “Nu”) is a modern, cross-platform shell written in Rust that treats all data as structured tables rather than plain text. It supports pipelines on rich typed data, has built-in commands for JSON/CSV/SQL/excel, and offers scripting, autocompletion, scoped variables, and strong error handling—bridging the gap between shell scripting and programming. -
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Professional SQL Database Management Tool An application for managing MySQL, PostgreSQL, and SQLite databases with an intuitive GUI.
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Supabase Wrappers
Postgres Foreign Data Wrapper development framework in Rust
Supabase Wrappers is a collection of PostgreSQL extensions (written in Rust) that allow Postgres to interact with external systems like APIs, files, and other databases. It uses Foreign Data Wrappers (FDWs) to treat external resources as if they were native SQL tables, enabling seamless integration with external services directly from SQL queries. -
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sqlite-web
Web-based SQLite database browser written in Python
...It lets users open existing SQLite databases or create new ones through a browser interface. The tool can browse table data, inspect database structure, and run arbitrary SQL queries from a dedicated query tab. It also supports common editing actions, including inserting, updating, and deleting rows. Users can add or drop tables, columns, and indexes, and they can import or export data in JSON or CSV format. It can run from the command line, through Docker, or with a higher-performance gevent WSGI server, making it useful for quick database inspection, lightweight administration, and local development workflows. -
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Adminer
Database management in a single PHP file
Adminer (formerly phpMinAdmin) is a full-featured database management tool written in PHP. Conversely to phpMyAdmin, it consist of a single file ready to deploy to the target server. Adminer is available for MySQL, MariaDB, PostgreSQL, SQLite, MS SQL, Oracle, Elasticsearch, MongoDB and others via plugin. Replace phpMyAdmin with Adminer and you will get a tidier user interface, better support for MySQL features, higher performance and more security. Connect to a database server with username... -
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Anyquery
Query anything (GitHub, Notion, +40 more) with SQL and let LLMs
...Users can query structured files such as CSV, JSON, and Parquet as well as remote data sources like SaaS APIs, cloud storage services, and local applications. The platform also supports querying multiple data sources simultaneously and joining them together within a single SQL query, enabling powerful cross-system analysis. In addition to operating as a local query engine, the system can run as a MySQL-compatible server so that traditional database tools can connect to it. -
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DbGate
Database manager for MySQL, PostgreSQL, SQL Server, MongoDB
Database manager for MySQL, PostgreSQL, SQL Server, MongoDB, SQLite and others. Runs under Windows, Linux, Mac or as web application. DbGate is a cross-platform database manager. It's designed to be simple to use and effective when working with more databases simultaneously. But there are also many advanced features like schema compare, visual query designer, chart visualization or batch export and import. -
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AlaSQL
JavaScript SQL database for browser and Node.js for relational tables
...We focus on flexibility by making sure you can import/export and query directly on data stored in Excel (both .xls and .xlsx), CSV, JSON, TAB, IndexedDB, LocalStorage, and SQLite files. The library adds the comfort of a full database engine to your JavaScript app. No, really - it's working towards a full database engine complying with most of the SQL-99 language, spiced up with additional syntax for NoSQL (schema-less) data and graph networks. -
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AWS SDK for pandas
Easy integration with Athena, Glue, Redshift, Timestream, Neptune
aws-sdk-pandas (formerly AWS Data Wrangler) bridges pandas with the AWS analytics stack so DataFrames flow seamlessly to and from cloud services. With a few lines of code, you can read from and write to Amazon S3 in Parquet/CSV/JSON/ORC, register tables in the AWS Glue Data Catalog, and query with Amazon Athena directly into pandas. The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. It also supports Redshift, OpenSearch, and other services, enabling ETL tasks that blend SQL engines and Python transformations. ...
