https://github.com/fallenmax/stream

Another FRP library (WIP)
https://github.com/fallenmax/stream

Last synced: 11 days ago
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Another FRP library (WIP)

• Host: GitHub
• URL: https://github.com/fallenmax/stream
• Owner: FallenMax
• License: apache-2.0
• Created: 2021-08-29T14:08:40.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-08-29T15:07:29.000Z (over 3 years ago)
• Last Synced: 2024-11-20T19:33:46.063Z (2 months ago)
• Language: TypeScript
• Size: 47.9 KB
• Stars: 0
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Another FRP library (WIP)

_Quoted from [StreetStrider/fluh](https://github.com/StreetStrider/fluh):_

> When thinking of reactive stuff there're multiple spaces of decisions in which you have to make a choice.

>

> - Is it push or pull?

> - Is it unicast or multicast?

> - Is it always live or depends on subscribers' presense?

> - Does stream have value at any time?

> - Is it sync or async?

> - How errors should be handled?

> - Does stream end?

> - Is data graph static or dynamic?

>

> Choosing some decisions will lead to a specific FRP system.

> Watch [this speech](https://www.youtube.com/watch?v=Agu6jipKfYw) about this decision space.

This library is:

- A push-strategy FRP implementation

- Stream only become _active_ when there are subscribers, and stops when there are none

- Streams are shared/multicast by default, and contains single (current) value

- "no update" is expressed with special value `NOTHING` during update, so `null` or `undefined` can be freely used, you can also detect or return `NOTHING` when building your stream

- Data graph is static by default

- Update is atomic like [flyd](https://github.com/paldepind/flyd#atomic-updates), avoiding intermediate states

- Sync by default

There are still some unfinished parts, namely:

- Figure out how to handle update-during-another-update

- Figure out how to handle subscribe/unsubscribe-during-update

- More essential operators

- Benchmark and performance optimizations