Pandasql vs. Massive vs. PSequel

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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.

What is Massive?

Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement.

What is PSequel?

Designed for Yosemite. Written in Swift. PSequel provides a clean and simple interface to perform common PostgreSQL tasks quickly.
Why do developers choose Pandasql?
Why do you like Pandasql?

Why do developers choose Massive?
Why do you like Massive?

Why do developers choose PSequel?
Why do you like PSequel?

What are the cons of using Pandasql?
No Cons submitted yet for Pandasql
Downsides of Pandasql?

What are the cons of using Massive?
No Cons submitted yet for Massive
Downsides of Massive?

What are the cons of using PSequel?
No Cons submitted yet for PSequel
Downsides of PSequel?

Want advice about which of these to choose?Ask the StackShare community!

How much does Pandasql cost?
How much does Massive cost?
How much does PSequel cost?
What companies use Pandasql?
0 companies on StackShare use Pandasql
What companies use Massive?
0 companies on StackShare use Massive
What companies use PSequel?
1 companies on StackShare use PSequel
No integrations listed yet
What tools integrate with Massive?
1 tools on StackShare integrate with Massive
No integrations listed yet

What are some alternatives to Pandasql, Massive, and PSequel?

  • Sequel Pro - MySQL database management for Mac OS X
  • PostGIS - Open source spatial database
  • Open PostgreSQL Monitoring - Oversee and Manage Your PostgreSQL Servers
  • Liquibase - Source control for your database

See all alternatives to Pandasql



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