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Datasette

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10
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Pandasql

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Datasette vs Pandasql: What are the differences?

Developers describe Datasette as "An instant JSON API for your SQLite databases". Provides an instant, read-only JSON API for any SQLite database. It also provides tools for packaging the database up as a Docker container and deploying that container to hosting providers. On the other hand, Pandasql is detailed 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.

Datasette and Pandasql can be categorized as "Database" tools.

Datasette and Pandasql are both open source tools. It seems that Datasette with 2.53K GitHub stars and 146 forks on GitHub has more adoption than Pandasql with 737 GitHub stars and 109 GitHub forks.

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What is Datasette?

Provides an instant, read-only JSON API for any SQLite database. It also provides tools for packaging the database up as a Docker container and deploying that container to hosting providers.

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.

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What tools integrate with Datasette?
What tools integrate with Pandasql?
    No integrations found
    What are some alternatives to Datasette and Pandasql?
    Slick
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    Spring Data
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    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.
    DataGrip
    A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
    PostGIS
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    See all alternatives