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jr0senblum avatar

jr0senblum/jwalk

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7 stars·1 fork·Erlang·0 views

Jwalk

Helper module for working with Erlang proplists, eep 18, map and mochijson-style JSON representations

Features

  • JSON Processing - Helper for Erlang JSON representations.

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Frequently asked questions

What does jr0senblum/jwalk do?

Helper module for working with Erlang proplists, eep 18, map and mochijson-style JSON representations

What are the main features of jr0senblum/jwalk?

The main features of jr0senblum/jwalk are: JSON Processing.

What are some open-source alternatives to jr0senblum/jwalk?

Open-source alternatives to jr0senblum/jwalk include: java-json-tools/json-schema-validator — This library is a Java-based tool for enforcing data structure constraints and verifying technical formats against… json-iterator/java — This library is a high-performance JSON processing tool for Java designed to handle data serialization and… jprichardson/node-fs-extra — node-fs-extra is a Node.js file system extension that provides a set of additional methods to simplify common file and… hazelcast/hazelcast — Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to… amuzatkts/jsonapi-errors — Go bindings based on the JSON API errors reference. akshaybharambe14/go-jsonc.

Open-source alternatives to Jwalk

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  • json-iterator/javajson-iterator avatar

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    This library is a high-performance JSON processing tool for Java designed to handle data serialization and deserialization with minimal resource consumption. It provides a framework for transforming complex object graphs into JSON strings and mapping raw input directly to typed class properties. The library distinguishes itself by utilizing compile-time code generation and reflection-free mapping to eliminate expensive runtime overhead. By employing iterator-based stream parsing and zero-allocation buffer management, it processes large or deeply nested data structures while reducing garbage c

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    Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

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See all 30 alternatives to Jwalk→