Ibis @IbisData

Expressive analytics in Python at any scale. Questions? Join the discussion at https://t.co/gSgMkpaBEm ibis-project.org Joined July 2009

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Ibis @IbisData

7 months ago

Ibis 10.0.0 is out! pip install ibis-framework==10.0.0 Lots of new features, bug fixes and two new backends: Amazon Athena and Databricks! Check out the release notes here: ibis-project.org/release_notes#…

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Ibis @IbisData

7 months ago

New blog posts 2/2: Dynamic UDF Rewriting with Predicate Pushdowns ibis-project.org/posts/udf-rewr… Check 'em out!

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Ibis @IbisData

7 months ago

New blog posts 1/2: Does Ibis Understand SQL? ibis-project.org/posts/does-ibi…

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Ibis @IbisData

8 months ago

With the latest version of @pyodide (0.27.1), you can run %pip install ibis-framework[duckdb] to get an expressive, lightning-fast, and *entirely-in-browser* dataframe API! Give it a try at ibis-project.org/tutorials/brow…

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Dewey Dunnington @paleolimbot

9 months ago

First blog post in a long time! I started writing a post ~2 years ago on adventures counting 130M U.S. buildings by zipcode and finally circled back to write it up. Everybody is a winner really, but @duckdb @IbisData , @ApacheArrow, and @GeoParquet were essential throughout!

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Naty Clementi @ncclementi

9 months ago

Hi y'all, I'll be talking at #DuckCon on January 2025. I'll be sharing how to leverage the power of @duckdb's geospatial capabilities while staying within the Python ecosystem using @IbisData . I’ll show you how to work with GeoParquet data and create nice maps in your laptop.

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marimo @marimo_io

a year ago

no code transformations using marimo's mo.ui.dataframe and @IbisData! Pass in any Ibis dataframe to mo.ui.dataframe to display a UI for different filters/transformations and get the filtered result back in Python. Plus, you can see the SQL statement generated by Ibis!

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Ibis @IbisData

a year ago

It's never been a better time to get involved with Ibis! If you need Python dataframes that work on the best local engines (@duckdb, @ApacheDataFusio, @DataPolars) and distributed/cloud platforms (@ApacheSpark, @SnowflakeDB, @ClickHouseDB, @trinodb), give us a try!

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ABC @Ubunta

a year ago

The "Tools don't matter" argument falls flat in Data Engineering and ML. - Working with large datasets on a Spark cluster can quickly shift your focus from business problems to infrastructure challenges. - Using Pandas for 10GB+ data demands huge RAM, but switching to @duckdb…

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Ibis @IbisData

a year ago

Want to work with Python dataframes on a trillion rows of data in someone else's high-performane OLAP database? Check out our latest blog using Ibis, @ClickHouseDB , and Shiny for Python to build an interactive dashboard on the PyPI downloads dataset: ibis-project.org/posts/better-p…

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Alex Kwiatkowski @rupurt

a year ago

This is super exciting. @IbisData coming to @marimo_io github.com/marimo-team/ma…

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Mim @mim_djo

a year ago

end of an era, for new project think seriously of using a new Dataframe Engine, there are plenty of choices, ibis will drop support for Pandas ibis-project.org/posts/farewell…

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Mim @mim_djo

a year ago

@IbisData support is very rudimentary but you can connect to #microsoftfabric DWH, list catalog, run sql etc

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Naty Clementi @ncclementi

a year ago

My @SciPyConf talk: @IbisData and @duckdb geospatial: a match made on Earth! is on youtube. (there was a problem with the recording, apologies about the yellow background) #geospatial youtu.be/xQnHhPMgWdM

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ABC @Ubunta

a year ago

Here are a few reasons why I prefer using Ibis over Pandas/@DataPolars ( bdw I still use Polars or Data Fusion as the engine ) - @IbisData is lightweight and directly executes queries on the underlying databases, functioning more as a result transporter than a heavy framework. -…

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Evgeny Ivanov @e10v_me

a year ago

The other popular choices are Confidence and Ambrosia. They slightly differ in features: tea-tasting covers some methods not covered in these packages, and vice versa. Ultimately, tea-tasting aims to cover all the essential methods. But the biggest difference is the support for…

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Ethan @ethanf_17

a year ago

I’ve been really impressed with @IbisData so far. Modern data stacks need to be flexible passing data between @PostgreSQL, dataframes, and analytics dbs like @duckdb or @ClickHouseDB. Super helpful to have one common query language connecting these data sources