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meander

MITClojure

A Clojure/ClojureScript library for transparent data transformation using pattern matching and term rewriting.

GitHubGitHub
979 stars56 forks0 contributors

What is meander?

Meander is a Clojure/ClojureScript library that provides transparent data transformation through pattern matching and term rewriting. It solves the problem of complex, hard-to-read data manipulation code by allowing developers to write declarative transformations where the relationship between input and output is immediately clear. The library enables joining across data structures, conditional matching, and strategic rewriting of nested data.

Target Audience

Clojure and ClojureScript developers working with complex data transformations, particularly those dealing with nested data structures, data validation, or implementing domain-specific languages. It's especially valuable for developers who prioritize code clarity and maintainability in data processing pipelines.

Value Proposition

Developers choose Meander because it makes data transformation code transparent and declarative, reducing cognitive load compared to imperative approaches. Its unique combination of pattern matching, logic variables, and term rewriting strategies provides expressive power that goes beyond traditional Clojure data functions while maintaining the language's functional ethos.

Overview

Tools for transparent data transformation

Use Cases

Best For

  • Transforming nested JSON or EDN data structures in Clojure applications
  • Implementing domain-specific languages for data processing
  • Writing declarative data validation and extraction logic
  • Performing complex joins across multiple data collections
  • Applying term rewriting rules to abstract syntax trees
  • Building transparent data transformation pipelines where input/output relationships must be clear

Not Ideal For

  • Projects processing only flat, tabular data without nested structures
  • Teams requiring tight integration with non-Clojure ecosystems or languages
  • Performance-critical systems where micro-optimizations outweigh code clarity
  • Developers unfamiliar with Clojure's macro system or functional programming concepts

Pros & Cons

Pros

Declarative Data Extraction

The `match` macro uses logic variables like `?food` to join data across structures, as shown in the favorite-food-info example, making transformations transparent and easy to follow.

Comprehensive Search Capabilities

With the `search` macro and `scan` operator, it finds all possible matches in data, demonstrated in favorite-foods-info for handling multiple results without manual iteration.

Flexible Value Collection

Memory variables like `!foods` combined with operators such as `...` allow gathering values from disparate parts of nested data, shown in grab-all-foods for efficient data aggregation.

Extensible Syntax

The `defsyntax` macro enables creating custom pattern matching syntax, such as the number syntax example, for domain-specific needs and cleaner conditional matches.

Strategic Data Transformation

Term rewriting strategies like `bottom-up` apply rules throughout nested data structures, as in the eliminate-zeros example, simplifying complex recursive transformations.

Cons

Steep Learning Curve

Requires deep understanding of Clojure macros, pattern matching concepts, and strategic programming, which can be a barrier for developers new to these paradigms.

Unstable Versioning Model

The README admits to an unorthodox artifactID-based versioning where breaking changes require new artifactIDs, potentially causing dependency confusion and complicating long-term maintenance.

Niche Community Support

As a Clojure-specific library, it has a smaller ecosystem and fewer third-party resources compared to cross-language data transformation tools, limiting community-driven help and integrations.

Performance Overhead

Pattern matching and term rewriting strategies can introduce computational overhead for simple transformations, making it less suitable for latency-sensitive applications without careful optimization.

Frequently Asked Questions

Quick Stats

Stars979
Forks56
Contributors0
Open Issues16
Last commit2 years ago
CreatedSince 2017

Tags

#declarative-programming#functional-programming#clojurescript#pattern-matching#substitution#clojure#program-transformation#data-transformation#logic-programming

Built With

C
Clojure
C
ClojureScript

Included in

Clojure2.8k
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