Geni
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
About Geni
Geni is a Clojure dataframe library that runs on Apache Spark. It provides an idiomatic Clojure interface for Dataset and Column operations using the -> threading macro, and accepts columns, strings and keywords wherever Spark expects a column.
Version 0.4.0 adds over 300 more Spark SQL functions, results as tech.ml.dataset datasets, tensors and Arrow, and Clojure UDFs over Spark Connect. The changelog documents changes since 0.0.42, including breaking changes.
Key features
- Runs Clojure dataframe operations on Apache Spark
- Composes Dataset and Column operations with threading macro
- Accepts columns, strings, and keywords for column arguments
- Groups, aggregates, orders, and describes datasets
- Returns results as tech.ml.dataset datasets, tensors, and Arrow
- Supports Clojure UDFs over Spark Connect
Best for: Clojure developers who work with Apache Spark Datasets and Columns.
Good for
- Idiomatic Clojure interface without Java or Scala interop
- Flexible column handling for columns, strings, and keywords
- Expanded SQL function coverage and result formats in 0.4.0
Watch out for
- Version 0.4.0 includes breaking changes from 0.0.42
Geni at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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Geni FAQ
How does Geni express Spark operations in Clojure?
It uses Clojure's -> threading macro to compose Dataset and Column operations instead of Scala method chaining.
What is new in version 0.4.0?
Over 300 more Spark SQL functions, results as tech.ml.dataset datasets, tensors and Arrow, and Clojure UDFs over Spark Connect. Details since 0.0.42, including breaking changes, are in the changelog.
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