IbisIbis
Data ManagementFree
Effortless and Portable Data Manipulation with Ibis
Last updated Apr 30, 2026
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What is IbisIbis?
IbisIbis's Top Features
Key capabilities that make IbisIbis stand out.
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
Use Cases
Who benefits most from this tool.
Data Scientists
Use Ibis to seamlessly transition between local and remote dataframes while performing data analysis.
Analysts
Utilize Ibis's consistent API for data transformation across different data systems.
Data Engineers
Leverage Ibis for integrating and manipulating data from various backends.
Business Intelligence Developers
Incorporate Ibis into BI tools for efficient data manipulation and visualization.
Research Scientists
Apply Ibis in research projects needing flexible data manipulation across data environments.
Software Developers
Implement Ibis for writing backend-agnostic data manipulation code in Python applications.
Machine Learning Engineers
Use Ibis to preprocess datasets consistently across machine learning projects.
Visualization Experts
Enhance data visuals by integrating Ibis with libraries like matplotlib or Plotly.
Financial Analysts
Optimize financial data analysis workflows using Ibis's high performance capabilities.
Technical Leads
Guide teams in adopting Ibis for streamlined, backend-agnostic data processes.
Tags
open-sourcePythondataframe librarydata manipulationAPIdevelopersbackendshigh performancedatabasesDuckDBdata scientistsanalystsvisualization libraries
IbisIbis's Pricing
Free plan available
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Frequently Asked Questions
What is Ibis?
Ibis is an open-source Python library for data manipulation across various data systems with a consistent API.
How does Ibis compare to pandas or dplyr?
Ibis provides a familiar dataframe experience similar to pandas or dplyr but allows for executing code across multiple backends.
What backends does Ibis support?
Ibis supports 20 different backends, enabling transitions between local and remote dataframes.
Can I use Ibis with visualization libraries?
Yes, Ibis integrates with popular visualization libraries such as Altair, matplotlib, and Plotly.
Is there a default database for Ibis?
Yes, the default embedded database for Ibis is DuckDB, which offers high performance.
Who should use Ibis?
Data scientists and analysts who need to work with multiple data systems or transition between local and remote data processing should use Ibis.
What programming language is Ibis designed for?
Ibis is designed to work with Python and integrates with various data systems.
How does Ibis enhance data manipulation workflows?
Ibis provides a unified interface across different data systems with performance optimizations and visualization integrations.
Can I mix SQL and Python in Ibis?
Yes, Ibis allows blending SQL and Python for flexible data manipulation.
What is a unique selling point of Ibis?
A unique selling point of Ibis is its portability and consistent API across diverse data backends.