Skip to main content
image

Nu – the interaction primitive.

Build apps in one primitive that spans your whole stack (databases, UIs, AI agents, and services). No glue. 50x less code.

Every app is a set of interactions between systems: a database, a UI, AI agents, and services. Nu makes interaction the primitive:

  • Ref names what you touch. A KV slot, a UI widget, an LLM endpoint, a memory slot, a remote object.
  • Interaction describes what to do with it. Read, write, branch, iterate, compose.
  • Fabric binds Refs to a real backend. Swap the Fabric, keep the tree.

Persistence, reactivity, atomicity, observability, and scalability are inherent, not bolted on.

Example

A dashboard on a live counter that persists across restarts. One Nu tree, two Fabrics.

import nu


class Counter(nu.Shape):
    value: nu.v.IntRef


class Dashboard(nu.ui.Page):
    count: nu.ui.TextRef


class App(nu.ui.Index):
    pages = nu.ui.Pages({"/": Dashboard})


app = nu.With(
    nu.v.presets.rocksdb_navigator(".dbtest"),
    nu.ui.presets.server(
        nu.v.auto_flow_atomic(
            nu.ReactForever(
                Counter.value.on_change(),
                Dashboard.count.set(Counter.value),
            ),
        ),
    ),
    body=(
        nu.IfDo(Counter.value.missing(), Counter.value.set(0))
        >> nu.ForeverDo(
            Counter.value.inc() >> nu.Delay(1.0),
        )
    ),
)


if __name__ == "__main__":
    import asyncio

    asyncio.run(nu.arun(nu.v.auto_flow_atomic(app)))

Run it, open the browser tab. The counter ticks once a second, the dashboard mirrors it live. Kill it, run again, it picks up where it left off.

More examples in examples/. Full walkthrough at nustack.dev/docs.

Fabrics

A Fabric implements Refs against one backend. Nu ships five in-tree.

Fabric What
nu.m In-process substrate. Zero-config default for tests, notebooks, cache.
nu.v Persistent substrate backed by virtuals. Virtual Python collections over RocksDB, LMDB, more.
nu.ui Refs on screen. Binds Nu Refs to a live browser tab.
nu.invisibles Location-independent Nus. Transparent RPC across processes and machines.
nu.ray Compute across the cluster. Scale Nu on Ray without leaving the model.

Swap the Fabric, keep the tree. Same program runs against different substrates.

Install

Python 3.12+.

pip install "nustack-py[all]"

See nustack.dev/docs/how-to/install for lean installs and source builds.

Apps built on Nu

  • nulog. Structured logging as a Nu app. Handles billions of entries, UI dashboard out of the box.

Status

Alpha. APIs will break.

License

Apache-2.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nustack_py-0.1.5.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

nustack_py-0.1.5-py3-none-any.whl (431.5 kB view details)

Uploaded Python 3

File details

Details for the file nustack_py-0.1.5.tar.gz.

File metadata

  • Download URL: nustack_py-0.1.5.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for nustack_py-0.1.5.tar.gz
Algorithm Hash digest
SHA256 10742a62a919e5abd5c51e1aa67da40ca5d11b12abc89dea21a8c5fabfe94b2e
MD5 835a0bf24aeea9f8b6662581563483b7
BLAKE2b-256 b0eca0c92c310b99e5626281f66fbaa2e8353231955a7eed2684c7bd0d7b853a

See more details on using hashes here.

Provenance

The following attestation bundles were made for nustack_py-0.1.5.tar.gz:

Publisher: publish-nu.yml on nustackdev/nu

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file nustack_py-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: nustack_py-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 431.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for nustack_py-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 4494e93d05c5b569152b80fdb4e987d0662d97def22cc54a9bd1d0a89c0a8e81
MD5 2118aa4a697a05d62106b851cdbaf6b4
BLAKE2b-256 53a805ae2aa3ff8038d688ee6ba370b0508a497351983b102060b783654afb1e

See more details on using hashes here.

Provenance

The following attestation bundles were made for nustack_py-0.1.5-py3-none-any.whl:

Publisher: publish-nu.yml on nustackdev/nu

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page