explaingit

aether-synth-dev/core-stream-processor

Analysis updated 2026-05-18

1JavaScriptAudience · developerComplexity · 2/5LicenseSetup · easy

TLDR

A dependency free Node.js library that sanitizes incoming data against common attack patterns while recording timing metrics for each operation.

Mindmap

mindmap
  root((core-stream-processor))
    What it does
      Data sanitization
      Attack pattern detection
      Performance telemetry
    Tech stack
      Node.js
      JavaScript
      Zero dependencies
    Use cases
      Sanitize untrusted input
      Track operation timing
      Add to data pipelines
    Audience
      Node.js developers
      Backend engineers

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Sanitize incoming strings, numbers, or objects to guard against cross site scripting and SQL injection patterns.

USE CASE 2

Track millisecond level timing metrics for every data processing operation automatically.

USE CASE 3

Add basic input validation and telemetry to a Node.js service without adding external dependencies.

USE CASE 4

Retrieve a full history of recorded performance metrics for review or monitoring.

What is it built with?

JavaScriptNode.js

How does it compare?

aether-synth-dev/core-stream-processor0xmukesh/docusaurus-tutorial1tsmejp/palworld-docker-wine
Stars111
LanguageJavaScriptJavaScriptJavaScript
Last pushed2021-12-27
MaintenanceDormant
Setup difficultyeasyeasymoderate
Complexity2/52/54/5
Audiencedeveloperdeveloperops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

This is a small Node.js code library for cleaning up incoming data before your application uses it, while also timing how long that cleanup takes. It is written using only standard JavaScript and Node.js features, with no outside packages required, which keeps it lightweight and simple to add to an existing project. The main job of the library is sanitization: it checks incoming data such as strings, numbers, or objects for patterns commonly used in attacks like cross site scripting and SQL injection, enforces reasonable length limits on text, and confirms that data is the type your code expects. Alongside that, it automatically records timing information for every piece of data it processes, so you can see how many milliseconds each operation took and review that history later. Using it is straightforward: you create one processor object, then call a single process function with the data and a name for that operation. The function hands back both the cleaned data and the timing details for that call, and you can also fetch every recorded timing entry at once for a broader performance picture. The code is organized so the entry point, the coordination logic, the sanitization rules, and the timing logic each live in their own file, which keeps the pieces easy to find and change independently. It includes its own test suite and a demo script, along with a continuous integration workflow that runs automatically on GitHub. This is aimed at Node.js developers who want a dependency free way to sanitize untrusted input and track basic performance metrics for data processing pipelines, without pulling in a larger security or monitoring toolkit. It is released under the MIT license.

Copy-paste prompts

Prompt 1
Show me how to install core-stream-processor and sanitize a string with it in a Node.js script.
Prompt 2
Explain how the sanitizer in this repo detects XSS and SQL injection patterns.
Prompt 3
Help me wire core-stream-processor's telemetry into an existing Express route to log processing time.
Prompt 4
Walk me through the test suite in tests/test-suite.js so I understand what is covered.
Prompt 5
Suggest how I could extend this library's sanitizer to handle a new data type.

Frequently asked questions

What is core-stream-processor?

A dependency free Node.js library that sanitizes incoming data against common attack patterns while recording timing metrics for each operation.

What language is core-stream-processor written in?

Mainly JavaScript. The stack also includes JavaScript, Node.js.

What license does core-stream-processor use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is core-stream-processor to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is core-stream-processor for?

Mainly developer.

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