Incanter: A Clojure-based R-like platform for statistical computing and graphics
Incanter is a Clojure-based platform designed for statistical computing and graphics, leveraging the capabilities of the JVM. It integrates various libraries for data processing and visualization, making statistical programming more accessible than in pure Java. The platform is inspired by previous Lisp-based statistical environments and offers a user-friendly interface for developers.
- ▪Incanter utilizes the Parallel Colt numerics library and the JFreeChart charting library for enhanced data processing and visualization.
- ▪Clojure's integration with Java simplifies the use of various libraries compared to R.
- ▪Users can easily get started with Incanter by downloading it or accessing the source code from GitHub.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Incanter |
| Canonical URL | http://incanter.org/ |
| Publication time | Tue, 26 May 2026 16:26:39 +0000 |
| Retrieval time | 2026-05-26T16:37:49.953Z |
| Last seen | 2026-05-26T16:37:49.953Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | B6AlE43fJgEQ |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Interactive, dynamic, functional statistical-programming on the JVM Incanter leverages both the power of Clojure, a dynamically-typed, functional programming language, and the rich set of libraries available on the JVM for accessing, processing, and visualizing data. At its core are the Parallel Colt numerics library, a multithreaded version of Colt, the JFreeChart charting library, the Processing visualization library, as well as several other Java and Clojure libraries. Clojure’s seamless integration with Java makes leveraging these libraries much simpler than is possible in R, and Incanter’s R-like semantics and interactive shell makes statistical programming much simpler than is possible in pure Java.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Incanter.