# Joule

> programming language

**Wikidata**: [Q6294583](https://www.wikidata.org/wiki/Q6294583)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Joule_(programming_language))  
**Source**: https://4ort.xyz/entity/joule

## Summary
Joule is a programming language that combines dataflow, object-oriented, and imperative programming paradigms. It was developed in 1996 and is notable for its object-based design, though it has limited adoption and documentation.

## Key Facts
- **Inception**: Joule was created in 1996.
- **Paradigms**: It supports dataflow programming, object-oriented programming, and imperative programming.
- **Classification**: Joule is classified as both a dataflow programming language and an object-based language.
- **Related Language**: "E" is mentioned as a related programming language, also created in 1997.
- **Wikipedia Entry**: The language has a single Wikipedia page in English.
- **Freebase ID**: Its Freebase identifier is /m/02j2p7.
- **Sitelink Count**: It has 1 sitelink in Wikidata.

## FAQs
### Q: What programming paradigms does Joule use?
A: Joule combines dataflow, object-oriented, and imperative programming paradigms, making it a versatile language for different computational approaches.

### Q: Who created Joule?
A: The creator of Joule is not explicitly named in the provided source material, but it was developed in 1996.

### Q: Is Joule widely used?
A: Joule has limited adoption, as indicated by its low sitelink count (1) and the lack of extensive documentation or widespread references.

### Q: How does Joule differ from other programming languages?
A: Joule stands out as an object-based language with a focus on dataflow programming, distinguishing it from more mainstream languages like Python or Java.

### Q: Where can I find more information about Joule?
A: The primary source of information is the English Wikipedia page titled "Joule (programming language)."

## Why It Matters
Joule represents an early attempt to blend dataflow and object-oriented programming, offering a unique approach to structuring code. While it has not gained significant traction, its development in the late 1990s reflects the broader exploration of programming paradigms during that era. As a lesser-known language, Joule serves as a case study in niche programming innovations that may influence future language design. Its object-based design and support for multiple paradigms make it an interesting historical artifact for researchers in programming language evolution.

## Notable For
- **Object-Based Design**: One of the few languages explicitly classified as object-based, distinct from purely object-oriented languages.
- **Dataflow Integration**: Combines dataflow programming, a paradigm less common in mainstream languages.
- **Historical Significance**: Represents an early 1990s experiment in programming language design.
- **Limited Adoption**: Despite its features, Joule remains obscure, with minimal documentation or community support.

## Body
### Origins and Development
Joule was developed in 1996, emerging alongside other programming languages of the era. Its creators did not specify a primary developer, but it was part of a broader trend in language innovation.

### Programming Paradigms
Joule supports three key paradigms:
- **Dataflow Programming**: Focuses on the flow of data through the program.
- **Object-Oriented Programming**: Uses objects and classes to organize code.
- **Imperative Programming**: Relies on explicit instructions to control program flow.

### Classification and Relationships
Joule is classified as both a dataflow programming language and an object-based language. It is related to "E," another programming language developed in 1997, though the exact relationship is unclear.

### Availability and Documentation
Joule has minimal online presence, with only one Wikipedia page in English. Its Freebase ID (/m/02j2p7) suggests it was part of a broader knowledge base effort but lacks extensive references.

### Legacy and Influence
While Joule has not significantly impacted mainstream programming, it remains a point of interest for researchers studying programming language evolution. Its combination of paradigms offers insights into early 1990s design choices.

## References

1. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)