Need advice about which tool to choose?Ask the StackShare community!

Pandasql

Stacks7

Followers51

+ 1

Votes1

Pome

Stacks3

Followers7

+ 1

Votes0

Add tool

Pandasql vs Pome: What are the differences?

Developers describe Pandasql as "Make python speak SQL". 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. On the other hand, Pome is detailed as "Postgres monitoring dashboard". Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.

Pandasql and Pome belong to "Database Tools" category of the tech stack.

Pandasql and Pome are both open source tools. Pome with 1.07K GitHub stars and 41 forks on GitHub appears to be more popular than Pandasql with 737 GitHub stars and 109 GitHub forks.

Manage your open source components, licenses, and vulnerabilities

Learn More

Pros of Pandasql

Pros of Pome

1
Super fast to handel df by sql syntax

Be the first to leave a pro

Sign up to add or upvote prosMake informed product decisions

Cons of Pandasql

Cons of Pome

1
Its cant output boolean

Be the first to leave a con

Sign up to add or upvote consMake informed product decisions

102

235

166

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 Pome?

Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.

Need advice about which tool to choose?Ask the StackShare community!

What tools integrate with Pandasql?

What tools integrate with Pome?

No integrations found

PostgreSQL

What are some alternatives to Pandasql and Pome?

SQLAlchemy

SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

See all alternatives

Pandasql vs Pome

Need advice about which tool to choose?Ask the StackShare community!

Pros of Pandasql

Pros of Pome

Sign up to add or upvote prosMake informed product decisions

Cons of Pandasql

Cons of Pome

Sign up to add or upvote consMake informed product decisions

What is Pandasql?

What is Pome?

Need advice about which tool to choose?Ask the StackShare community!

What tools integrate with Pandasql?

What tools integrate with Pome?

Related Comparisons

Trending Comparisons

Top Comparisons