deepstream.io VS HPI

Deepstream is an open-source library for real-time web application development. The library, which is built with Node.js and Engine.io, helps developers build frontend web applications that perform real-time updates while requiring minimal backend code.

I'm working on a few projects, from one/two days to platforms.

The first is OS and is a simple nodeJS environment to deploy applications via lambda and express quickly. Sort of like nestJS except less decorators and more functional (https://vramework.io/). I already know of a few other colleagues that rolled their own propriety versions of this to support enterprise and cloud deployments so decided to OS it.

The other OS project is a strongly typed postgres/mysql driver. The idea is to generate typescript definitions directly from postgres (https://github.com/vramework/schemats) and then have a think layer ontop of pg-node that gives you strongly typed queries (https://github.com/vramework/postgres-typed).

An open-source project I spent a few years on the core team is https://deepstream.io/, a realtime-server that allows you to mix and match multiple streaming protocols (mqtt/websocket/others) and allow those clients to talk to each other using pub-sub and records. I'm not longer working for it but wanted to give it a shout out!

On a non OS project, I have been working on an immersive audio platform for a while now. The main goal is to allow users to pick and choose how audio books progress, and also have a live session mode which allows users to record their pulse / answer questions and a few other metrics and associate it with sentences. I pretty much built and deployed all of it but require some advice/brainstorming on how to proceed now. I built it to satisfy an itch when I was practicing shamanism during the first lockdown when I was in-between contracts / taking time off.

I also want to build a simple web-pages strategy game based around eco-education, but don't have the bandwidth . If anyone is interested in mixing together gamification and eco-village building might be a fun conversion to bounce ideas!

All the OS projects above were used to support my personal/a couple professional projects over the last few years.

Email in profile

I'm currently looking for a contract that is part-time that is focused on consultancy or smaller projects (such as setting up containerized AWS environments)

I am looking for part-time contract or freelance/consulting opportunities at the moment (up to 20 hours/week).

GitHub: https://github.com/yasserf

OS projects I am/was core maintainer of: https://vramework.io/ and https://deepstream.io/

LinkedIn: https://uk.linkedin.com/in/yasserfadl

Email: [email protected]

https://deepstream.io is the closest and has a richer feature set (including a replicating document store), however it seems to have a small ecosystem / community / limited support options, and permissions do not seem as advanced.

https://nats.io is close but lower level. Has a large community and rich ecosystem however.

Then you can also mix and match lowever level technologies to achieve the particular set of tradeoffs you need. MQTT, AMQP as the protocol, mosquitto / rabbitmq/zeromq, then json-rpc on top ...

I can find socket.io, faye, deepstream.io , autobahn-js and nchan, centrifugo. Can you also explain why you chose it and if you had troubles with some other solution?

If this is interesting to you, you should check out the interesting work that karlicoss and others have done with "Human Programming Interface" [0] / [1].

I've been kicking this idea around for quite a few years and have gone through multiple iterations before finding HPI and tossing out all my work in favor of building off theirs.

HPI is a great platform to build your own stuff off and benefit from all the work that has already been done because imo building a good foundation is the hardest part. Sean Breckenridge's HPI-API is super interesting and useful, could likely be worked into this search engine concept, quite sure Sean actually has both newsboat and Firefox modules already made.

I wrote modules of my own and made an authentication wrapped HPI-API and a GraphQL instance but currently in the middle of an infra move so nothing super cool to show off.

Lots of interesting stuff in collecting and leveraging your data. If any of this stuff catches your eye, I highly encourage browsing karlicoss' exobrain [2] because there are some interesting things in there.

[0]: https://github.com/karlicoss/HPI

[1]: my own stuff, not trying to step on Karli, just wanted a 3 letter org for my stuff: https://github.com/hpi

[2]: https://beepb00p.xyz/myinfra.html

My version of this: Human Programming Interface https://github.com/karlicoss/HPI

It's a bit heavier on the automatic data aggregation side, but has some manual inputs as data sources too.

This is my approach!

I'm using HPI [0] as a sort of universal API for almost all of my data (manual notes, bookmarks, instant messages, internet comments, etc)

Then I use it in tools like Orger [1] and Promnesia [2] which function as my second brain

[0] https://github.com/karlicoss/HPI

[1] https://github.com/karlicoss/orger

[2] https://beepb00p.xyz/promnesia.html

I suppose HPI[0] kind of is that? ;)

A community repository would be super nice for those. Something along the lines of DefinitelyTyped[1], all managed through git, easily integrates with other stuff (like shown on npmjs.org when the @types package exists), allows maintainers to "own" the adapters they contribute. It's really the N adapters * T time per adapter that really makes it hard for one person to do. That plus monitoring API changes/flakiness of each adapter to make sure the data is still solid.

[0] https://github.com/karlicoss/HPI

[1] https://github.com/DefinitelyTyped/DefinitelyTyped

I'm working on tools/projects to unify, access, interact and use my personal data for quantified self, knowledge management, etc.

A couple of examples:

- https://github.com/karlicoss/HPI#readme

- https://github.com/karlicoss/promnesia#readme

Would very much love to discuss it with other people, collaborate etc.

Emacs is born as a human-computer interface, not specifically a PIM/PKM systems (Personal Information Management systems, Personal Knowledge Management systems), those are born at Xerox Parc and they never really took off, unfortunately. You can find a small intro like https://doi.org/10.1145/1480506.1480524 you can find many research articles and thesis on the ACM and other places, try https://karl-voit.at/tagstore/downloads/Voit2011.pdf by /u/publicvoit today in Emacs the most popular of such systems in org-roam, a wrapper/accessing tool for org-mode, witch is probably one of the most powerful, Memacs is another classic one that do something more and something less, Dimitri Gerasimov have it's own public HPI https://beepb00p.xyz/hpi.html with Grasp and Promnesia extensions for Emacs and probably many others do exists but they are used/developed by a small community and while in the "old" wiki book before, "personal note/evernote boom", now "zettelkasten boom" interest keep being there documentation especially at newcomer level is nearly zero... There are research papers, few whole books, tons of articles, but nothing like a complete and simple learning path...

Their author have developed a more complex script collection (HPI, https://beepb00p.xyz/hpi.html) witch is a bit confuse, but seems alive and for certain aspects do extra things then memacs (https://github.com/novoid/Memacs).

Side note: His Promnesia and HPI projects are just mind blowing!

Some of my favourites:

- "5. Life engine" and "92. Personal Data API"

   I'm working on this in "Human Programming Interface" :) https://github.com/karlicoss/HPI#readme It's far from solving these in general, but it works for me very well.