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Pandasql

5
41
+ 1
0
Pome

3
7
+ 1
0
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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.

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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 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.

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What tools integrate with Pandasql?
What tools integrate with Pome?
    No integrations found
    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.
    Slick
    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.
    Spring Data
    It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
    Microsoft SQL Server Management Studio
    It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
    See all alternatives