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What is Pandasql?

pandasql allows you to query pandas DataFrames using SQL syntax. It works similarly to sqldf in R. pandasql seeks to provide a more familiar way of manipulating and cleaning data for people new to Python or pandas.
Pandasql is a tool in the Database Tools category of a tech stack.
Pandasql is an open source tool with 838 GitHub stars and 133 GitHub forks. Here’s a link to Pandasql's open source repository on GitHub

Who uses Pandasql?

5 developers on StackShare have stated that they use Pandasql.

Why developers like Pandasql?

Here’s a list of reasons why companies and developers use Pandasql
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Pandasql Alternatives & Comparisons

What are some alternatives to Pandasql?
SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Sequel Pro
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
See all alternatives

Pandasql's Followers
29 developers follow Pandasql to keep up with related blogs and decisions.
Saurabh Verma
Kevin Hill
Anand G
Inbal Meir
Steven K
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Ayodeji Opaleye
Jake Serdar
Darkhan Beissenkulov
Solar sam