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Pandasql

Stacks7

Followers51

+ 1

Votes1

Slack SQL

Stacks1

Followers11

+ 1

Votes0

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Pandasql vs Slack SQL: 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, Slack SQL is detailed as "Execute SQL queries inside of Slack". Now you can execute SQL queries right in your Slack input box! After config the database host and deploy the codes to whichever server, add the integration to Slack, then you can execute SQL query right in your Slack This is extremely useful for database administrators and engineers, without switching screen or opening another terminal, type the SQL query in Slack and you will get what you want!.

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

Pandasql and Slack SQL are both open source tools. It seems that Pandasql with 737 GitHub stars and 109 forks on GitHub has more adoption than Slack SQL with 111 GitHub stars and 13 GitHub forks.

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Pros of Pandasql

Pros of Slack SQL

1
Super fast to handel df by sql syntax

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Cons of Pandasql

Cons of Slack SQL

1
Its cant output boolean

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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 Slack SQL?

Now you can execute SQL queries right in your Slack input box! After config the database host and deploy the codes to whichever server, add the integration to Slack, then you can execute SQL query right in your Slack. This is extremely useful for database administrators and engineers, without switching screen or opening another terminal, type the SQL query in Slack and you will get what you want!

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What tools integrate with Pandasql?

What tools integrate with Slack SQL?

No integrations found

What are some alternatives to Pandasql and Slack SQL?

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 Slack SQL

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Pros of Pandasql

Pros of Slack SQL

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Cons of Pandasql

Cons of Slack SQL

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What is Pandasql?

What is Slack SQL?

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

What tools integrate with Pandasql?

What tools integrate with Slack SQL?

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