aether-synth-dev/core-stream-processor — explained in plain English
Analysis updated 2026-05-18
Sanitize incoming strings, numbers, or objects to guard against cross site scripting and SQL injection patterns.
Track millisecond level timing metrics for every data processing operation automatically.
Add basic input validation and telemetry to a Node.js service without adding external dependencies.
Retrieve a full history of recorded performance metrics for review or monitoring.
| aether-synth-dev/core-stream-processor | 0xmukesh/docusaurus-tutorial | 1tsmejp/palworld-docker-wine | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | JavaScript | JavaScript | JavaScript |
| Last pushed | — | 2021-12-27 | — |
| Maintenance | — | Dormant | — |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 4/5 |
| Audience | developer | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
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.
A dependency free Node.js library that sanitizes incoming data against common attack patterns while recording timing metrics for each operation.
Mainly JavaScript. The stack also includes JavaScript, Node.js.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.