QStudio

QStudio

TimeStored
python-sql

python-sql

Python Software Foundation
+
+

Related Products

  • DbVisualizer
    522 Ratings
    Visit Website
  • Google Cloud SQL
    537 Ratings
    Visit Website
  • Windocks
    7 Ratings
    Visit Website
  • Vertex AI
    743 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,867 Ratings
    Visit Website
  • CallShaper
    24 Ratings
    Visit Website
  • DXcharts
    28 Ratings
    Visit Website
  • Windsurf Editor
    148 Ratings
    Visit Website
  • Seobility
    459 Ratings
    Visit Website
  • Highcharts
    123 Ratings
    Visit Website

About

QStudio is a free, modern SQL editor supporting over 30 databases, including MySQL, PostgreSQL, and DuckDB. It offers features such as server browsing for easy viewing of tables, variables, functions, and configuration settings; SQL syntax highlighting; code completion; the ability to query servers directly from the editor; and built-in charts for data visualization. QStudio runs on Windows, Mac, and Linux, providing particularly good support for kdb+, Parquet, PRQL, and DuckDB. Additional functionalities include data pivoting similar to Excel, exporting data to Excel or CSV, and AI-powered tools like Text2SQL for generating queries from plain English, Explain-My-Query for code walkthroughs, and Explain-My-Error for debugging assistance. Simply send the query you want and select the chart type to draw a chart. Send queries straight from within the editor to any of your servers. All data structures are handled perfectly.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data analysts interested in a tool to simplify database management and enhance productivity

Audience

Developers searching for a solution offering a library to write SQL queries

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

TimeStored
United Kingdom
www.timestored.com/qstudio/

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Alternatives

DBHawk

DBHawk

Datasparc

Alternatives

Valentina Studio

Valentina Studio

Paradigma Software
NGS-IQ

NGS-IQ

New Generation Software

Categories

Categories

Integrations

Apache Parquet
ClickHouse
Domino Enterprise MLOps Platform
DuckDB
Google Sheets
Microsoft Excel
MySQL
PostgreSQL
Python
SQL
SQL Server
TimescaleDB
kdb+

Integrations

Apache Parquet
ClickHouse
Domino Enterprise MLOps Platform
DuckDB
Google Sheets
Microsoft Excel
MySQL
PostgreSQL
Python
SQL
SQL Server
TimescaleDB
kdb+
Claim QStudio and update features and information
Claim QStudio and update features and information
Claim python-sql and update features and information
Claim python-sql and update features and information