npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

swarm-stamp

v1.0.14

Published

Base64 Lamport timestamps =========================

Downloads

6

Readme

Base64 Lamport timestamps

events

The package implements Base64 string Lamport timestamps. First described in "Time, clocks, and the ordering of events in a distributed system" by Leslie Lamport these timestamps are designed to track events in a distributed system. The paper's primary inspiration was the special theory of relativity. It describes a model of time based on sequential communicating processes each having its local clocks only, no "newtonian" global universal clocks.

Hence, every timestamp has two components:

  • monotonically increasing "clock" and
  • process identifier.

These days, Lamport timestamps are used everywhere, starting from multicore CPUs all the way to world-scale distributed systems.

This implementation deals with base64 string based timestamps of variable length. Those are handier and more flexible than C-style fixed-width binary formats. Base64 can be used inside URLs (path/fragment parts), logs, arbitrary databases, etc. Importantly, Base64 timestamps are human readable.

The clock component may be a simple sequential counteror a timestamp from a physical clock (data/time) or something inbetween or combined. (There are lots of fine details here.) Classes:

  • TestClock (sequential counter)
  • MinuteClock (timestamp + sequence number, exact to a minute)
  • SecondClock (timestamp + sequence number, exact to a second)
  • AdabtableClock (timestamp + sequence number, long enough to guarantee uniqueness and monotonic growth)

Base64 timestamps obey alphanumeric order, that's why the package employs its own variety of base64. In common base64 variants, numeric order does not match alphanumeric order (i.e. the order for numbers and their base64 serializations differs).

swarm base64: 0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ_abcdefghijklmnopqrstuvwxyz~

The package also implements two varieties of version vector based on Base64 Lamport timestamps:

  • regular version vector (VVector, which is actually a map) and
  • arrival order preserving version vector (OrdVVector).

See tests for usage examples.