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IbisIbis

Open-source Python library for flexible data manipulation across multiple backends.

Data Management Updated 10 hours ago
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IbisIbis

IbisIbis's Top Features

Consistent API across multiple backends
High performance with embedded databases like DuckDB
Supports 20 different backends
Integration with visualization libraries such as Altair, matplotlib, and Plotly
Familiar dataframe experience like pandas or dplyr
Portability across local and remote data frameworks
Blends SQL and Python for data manipulation
Optimized for various data environments
Open-source with focus on data flexibility
Facilitates seamless data system transitions

Frequently asked questions about IbisIbis

Ibis is an open-source Python library for data manipulation across various data systems with a consistent API.

Ibis provides a familiar dataframe experience similar to pandas or dplyr but allows for executing code across multiple backends.

Ibis supports 20 different backends, enabling transitions between local and remote dataframes.

Yes, Ibis integrates with popular visualization libraries such as Altair, matplotlib, and Plotly.

Yes, the default embedded database for Ibis is DuckDB, which offers high performance.

Data scientists and analysts who need to work with multiple data systems or transition between local and remote data processing should use Ibis.

Ibis is designed to work with Python and integrates with various data systems.

Ibis provides a unified interface across different data systems with performance optimizations and visualization integrations.

Yes, Ibis allows blending SQL and Python for flexible data manipulation.

A unique selling point of Ibis is its portability and consistent API across diverse data backends.

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Category
Data Management
Tags
open-source
Python
dataframe library
data manipulation
API
developers
backends
high performance
databases
DuckDB

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