Building Clojure Data Science Ecosystem

Building Clojure Data Science Ecosystem Information Guide

1. Introduction to Building Clojure Data Science Ecosystem
2. Main Features
3. Developments
4. Deep Dive
5. Future Outlook

Introduction to Building Clojure Data Science Ecosystem

Teodor Heggelund interviews Chris Nuernberger about his open source work in This talk will track how the Scicloj community happened from its early days until now, through interviews with community members ... This special talk at the SciNoj Light conference offers a perspective of the broader landscape at which the In his talk, Mike will share a lot of tips and tricks about managing DevOps and architecting scalable In this workshop by Daniel Slutsky, we get to know some of the main parts of the emerging

Main Features

Developments

Mike Ananev - Data ecosystems. Data-driven approach to build a B2B metadata system.

Viz clj - Clojure data visualization for beginners - Ashima Panjwani - reClojure 2021

Clojure Emerging Data Ecosystem - Sami Kallinen and Ethan Miller - reClojure 2021

re:Clojure 2021 workshop: A Data Science Walkthrough with Daniel Slutsky

Data science in Clojure: Almost Ready, Already Useful - with Daniel Slutsky

Scaling deliberation with data science and Clojure - Christopher Small - reClojure 2021

Machine Learning and Data Science in Clojure: Presented by Aria Haghighi

Clojure Conj 2012 - Clojure Data Science

Doing Data Science with Clojure by Simon Belak

Deep Dive

Data is compiled from public records and verified media reports.

Last Updated: June 11, 2026

Future Outlook

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.