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JSON.parse vs JSON.stringify
(version: 0)
Benchmark.js
Comparing performance of JSON.parse vs JSON.stringify
Comparing performance of:
JSON.parse vs JSON.stringify
Created:
2 years ago
by:
Guest
Go to the latest result
Tests:
JSON.parse
const obj = { "squadName": "Super hero squad", "homeTown": "Metro City", "formed": 2016, "secretBase": "Super tower", "active": true, "members": [{ "name": "Molecule Man", "age": 29, "secretIdentity": "Dan Jukes", "powers": [ "Radiation resistance", "Turning tiny", "Radiation blast" ] }, { "name": "Madame Uppercut", "age": 39, "secretIdentity": "Jane Wilson", "powers": [ "Million tonne punch", "Damage resistance", "Superhuman reflexes" ] }, { "name": "Eternal Flame", "age": 1000000, "secretIdentity": "Unknown", "powers": [ "Immortality", "Heat Immunity", "Inferno", "Teleportation", "Interdimensional travel" ] } ] } const objStringified = JSON.stringify(obj) JSON.parse(objStringified)
JSON.stringify
const obj = { "squadName": "Super hero squad", "homeTown": "Metro City", "formed": 2016, "secretBase": "Super tower", "active": true, "members": [{ "name": "Molecule Man", "age": 29, "secretIdentity": "Dan Jukes", "powers": [ "Radiation resistance", "Turning tiny", "Radiation blast" ] }, { "name": "Madame Uppercut", "age": 39, "secretIdentity": "Jane Wilson", "powers": [ "Million tonne punch", "Damage resistance", "Superhuman reflexes" ] }, { "name": "Eternal Flame", "age": 1000000, "secretIdentity": "Unknown", "powers": [ "Immortality", "Heat Immunity", "Inferno", "Teleportation", "Interdimensional travel" ] } ] } const objStringified = JSON.stringify(obj) JSON.stringify(obj)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
JSON.parse
JSON.stringify
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36
Browser/OS:
Chrome 121 on Mac OS X 10.15.7
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<iframe src="https://measurethat.net/Embed?id=507154" width="100%" height="500px"></iframe>
JSON.stringify
675K/s
JSON.parse
576K/s
View exact numbers
Test name
Executions per second
✓
JSON.stringify
674,530 Ops/sec
JSON.parse
576,469 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down what's being tested in the provided JSON. **Benchmark Definition:** The benchmark compares the performance of `JSON.parse()` and `JSON.stringify()` functions in JavaScript. **What are we comparing?** We're comparing two options: 1. **`JSON.parse()`**: This function parses a JSON string into a JavaScript object. 2. **`JSON.stringify()`**: This function converts a JavaScript object into a JSON string. **Pros and Cons:** * `JSON.parse()`: Pros: + Faster, as it only needs to parse the JSON string, not serialize an entire object tree. + More efficient when dealing with complex objects or large datasets. * `JSON.stringify()`: Pros: + Can be used to convert any JavaScript object into a JSON string, making it useful for serialization and deserialization. + Can be faster for simple objects or small datasets. However, the main con of `JSON.parse()` is that it can throw errors if the input string is malformed. On the other hand, `JSON.stringify()` returns a string representation of the object, which might not preserve certain properties (like functions, dates, or regex objects). **Library/Module:** There isn't a specific library or module being used in this benchmark. The comparison is purely between the two built-in JavaScript methods. **Special JS Feature/Syntax:** The benchmark doesn't use any special JavaScript features or syntax beyond standard JSON and JavaScript object syntax. **Other Alternatives:** If you need to serialize and deserialize objects, you might consider using a library like `lodash` or `serde-js`, which provide more advanced serialization and deserialization options. For simple cases, you could also use the `JSON.stringify()` method directly on your JavaScript object. Keep in mind that performance differences between these two methods will be most noticeable when dealing with large datasets or complex objects.
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