gitmyhub

hyperid

★ 0 updated 1y ago ⑂ fork

Uber-fast unique id generation, for Node.js and the browser

Hyperid is a JavaScript library that generates unique IDs extremely fast by combining a UUID with an incrementing counter, ideal for high-traffic apps.

JavaScriptNode.jssetup: easycomplexity 1/5

Hyperid Explanation

Hyperid is a tool that generates unique identification codes extremely quickly. Think of it like a UUID or serial number generator—something you'd use whenever you need to create unique identifiers for database records, API requests, user sessions, or anything else that needs a one-of-a-kind label. The key difference is that hyperid does this much faster than the standard options available in JavaScript.

The way it works is fairly straightforward. It combines two pieces of information: a UUID (a long, random identifier) and a counter (just a number that increments). By mixing these together, it creates IDs that are guaranteed to be unique while staying relatively compact. You can customize how these IDs look—make them a fixed length, make them safe to use in URLs, or let them vary in length. You can also "decode" an ID later to see which UUID and counter number it came from, which might be useful if you need to understand when an ID was created relative to others.

Who would use this? Anyone building a web application, API, or service where generating thousands or millions of unique IDs quickly matters for performance. If you're running a real-time system, a high-traffic API, or anything where creating IDs is a bottleneck, hyperid could be significantly faster than alternatives. For example, a chat application generating message IDs, an e-commerce platform creating order numbers, or a logging system assigning trace IDs would all benefit. The benchmarks in the README show it can generate over 25 million IDs per second, which is roughly twice as fast as the next-best option tested.

The trade-off is simplicity for speed. Hyperid's IDs aren't as short or human-friendly as some alternatives, and they're a bit more complex under the hood. But if raw performance is what you need, the README's benchmarks suggest it's one of the fastest options available for Node.js and browser-based JavaScript.

Where it fits