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Ibis Alternatives
Similar projects and alternatives to ibis
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obsninja
VDO.Ninja is a powerful tool that lets you bring remote video feeds into OBS or other studio software via WebRTC.
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prql
PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
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MindsDB
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gpt-neox
An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries
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Redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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octosql
OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
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malloy
Malloy is a modern open source language for describing data relationships and transformations.
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vanna
Discontinued 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using Agentic Retrieval 🔄.
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FastFlowTransform
SQL & Python data transformation framework for ETL pipelines (DuckDB, Postgres, BigQuery, Databricks, Snowflake)
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ibis alternative or higher similarity.
ibis discussion
ibis reviews and mentions
Posts with mentions or reviews of ibis.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2026-03-18.
- Ibis
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Pandas Exercises for Data Analysis (Interactive)
I don't hear much about Ibis here. https://ibis-project.org
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Notes from PyData Berlin 2025
https://github.com/ibis-project/ibis and
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Why Pandas feels clunky when coming from R (2024)
pandas* per the style guide (nobody follows it)
also I recommend trying Ibis. created by the creator of pandas originally and solves so many of the issues
https://ibis-project.org
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Coding as Craft: Going Back to the Old Gym
I felt the same - have to relearn/lookup everything every time I went back to a project or wanted to do some operations that are simple to describe in SQL but I couldn't wrap my mind around e.g. using multi-indexed dataframes & aggregations properly. These days, I always jump to Polars instead of Pandas - much more intuitive and consistent API. Tons of props to Pandas for all that they did (and continue to do) in the data space, but their API did not evolve very well IMO.
I've also been wanting to play with Ibis[1] recently, but Polars has been sufficient for me.
[1] https://ibis-project.org/
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Polars Cloud: The Distributed Cloud Architecture to Run Polars Anywhere
Ibis also solves this problem by providing a portable dataframe API that works across multiple backends (DuckDB by default): https://ibis-project.org/
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Modern Polars – A side-by-side comparison of the Polars and Pandas libraries
I just want to add an additional entry to the Other cool stuff you might like in the summary: https://ibis-project.org/
It's a portable dataframe library that defaults to a DuckDB backend, but you can also use polars and pandas (among the 20 backends that it supports).
- FireDucks: Pandas but 100x Faster
- The Polars vs. Pandas difference nobody is talking about – Labs
- DuckDB over Pandas/Polars
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A note from our sponsor - SaaSHub
www.saashub.com | 6 Jun 2026
Stats
Basic ibis repo stats
37
6,564
9.5
4 days ago
ibis-project/ibis is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of ibis is Python.
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