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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Pandasql vs Slack SQL

Pandasql vs Slack SQL

OverviewComparisonAlternatives

Overview

Slack SQL
Slack SQL
Stacks1
Followers11
Votes0
GitHub Stars117
Forks14
Pandasql
Pandasql
Stacks11
Followers51
Votes1
GitHub Stars1.4K
Forks187

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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Detailed Comparison

Slack SQL
Slack SQL
Pandasql
Pandasql

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 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.

Statistics
GitHub Stars
117
GitHub Stars
1.4K
GitHub Forks
14
GitHub Forks
187
Stacks
1
Stacks
11
Followers
11
Followers
51
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Super fast to handel df by sql syntax
Cons
  • 1
    Its cant output boolean
Integrations
PostgreSQL
PostgreSQL
Slack
Slack
No integrations available

What are some alternatives to Slack SQL, Pandasql?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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