Dart Nostr Development Kit (NDK)

NDK (Nostr Development Kit) is a Dart library designed to enhance the Nostr development experience.
It provides streamlined solutions for common use cases and abstracts away complex relay management, making it ideal for building constrained Nostr clients, particularly on mobile devices.
NDK implements the inbox/outbox (gossip) model by default, optimizing network usage and improving performance.

$~~~~~~~~~~~$

Prerequisites

• android SDK (also for desktop builds)
• flutter SDK
• rust ( + toolchain for target)

Rust toolchain android:

rustup target add \
    aarch64-linux-android \
    armv7-linux-androideabi \
    x86_64-linux-android \
    i686-linux-android

Rust toolchain ios:

# 64 bit targets (real device & simulator):
rustup target add aarch64-apple-ios x86_64-apple-ios
# New simulator target for Xcode 12 and later
rustup target add aarch64-apple-ios-sim
# 32 bit targets (you probably don't need these):
rustup target add armv7-apple-ios i386-apple-ios

Getting started

Install

flutter pub add ndk

Import

import 'package:ndk/ndk.dart';

Usage

usage examples

import 'package:ndk/ndk.dart';

// init
Ndk ndk = Ndk(
  NdkConfig(
    eventVerifier: RustEventVerifier(),
    cache: MemCacheManager(),
  ),
);

// query
NdkResponse response = ndk.requests.query(
  filters: [
    Filter(
      authors: ['hexPubkey']
      kinds: [Nip01Event.TEXT_NODE_KIND],
      limit: 10,
    ),
  ],
);

// result
await for (final event in response.stream) {
  print(event);
}

$~~~~~~~~~~~$

---

Features / what does NDK do?

• return nostr data based on filters (any kind).
• automatically discover the best relays to satisfy the provided request (using gossip)
• specify desired coverage on each request (e.g. x relays per pubkey)
• publish nostr events to optimal relays or explicit relays
• cache responses to save network bandwidth
• stream directly from cache and network (if needed)
• query and subscription, e.g., get data once; subscribe to data.
• plugin cache interface, bring your own db or use included ones: inMemory
• plug in verifier interface, bring your own event verifier, or use included ones: bip340, rust
• plug in event signer interface, bring your own event signer, or use included ones: bip340, amber
• contact list support, you can convert nostr_event to contact_list
• nip51 list support, you can convert nostr_event to nip51_list

not Included

• ready to use feeds, you have to build them on your own (🚫 not planned)
• create && manage keypairs. You have to provide them (🚫 not planned)
• file upload (🔜 planned)
• nip05 caching (🔜 planned)
• threading, you can do this on your own if you move ndk or only the event_verifier into its own thread (🔜 planned)
• support for request overrides (you have to close and reopen requests) (🤔 unsure)

---

NIPs

• Event Builders / WebSocket Subscriptions (NIP-01)
• User Profiles (edit/follow/unfollow - NIP-02)
• Private Messages (NIP-04)
• Nostr Address (NIP-05)
• Event Deletion (NIP-09)
• Relay Info (NIP-11)
• Reactions (NIP-25)
• Lists (NIP-51)
• Relay List Metadata (NIP-65)
• Bech Encoding support (NIP-19)
• Wallet Connect API (NIP-47)
• Zaps (private, public, anon, non-zap) (NIP-57)
• Badges (NIP-58)

Performance

There are two main constrains that we aim for: battery/compute and network bandwidth.

network
Inbox/Outbox (gossip) is our main pillar to help avoid unnecessary nostr requests. We try to leverage the cache as much as possible.
Even splitting the users filters into smaller relay tailored filters if we know the relay has the information we need.

compute
Right now the most compute intensive operation is verifying signatures.
We use the cache to determine if we have already seen the event and only if it is unknown signature verification is done.
To make the operation as optimized as possible we strongly recommend using RustEventVerifier() because it uses a separate thread for verification.

$~~~~~~~~~~~$

Gossip/outbox model of relay discovery and connectivity

The simplest characterization of the gossip model is just this: reading the posts of people you follow from the relays that they wrote them to.

more details on https://mikedilger.com/gossip-model/

Common terminology

term	explanation	simmilar to
broadcastEvent	push event to nostr network/relays	postEvent, publishEvent
JIT	Just In Time, e.g. as it happens	-
query	get data once and close the request	get request
subscription	stream of events as they come in	stream of data
bootstrapRelays	default relays to connect when nothing else is specified	seed relays, initial relays

$~~~~~~~~~~~$

Changelog 🔗

$~~~~~~~~~~~$

Library development 🏗️

setup

Install prerequisites

If you work on rust code (rust_builder/rust) run flutter_rust_bridge_codegen generate --watch to generate the rust dart glue code.

Run build runner: (e.g for generating mocks)
dart run build_runner build

Architecture

• lib/
  • config/
    • # contains configuration files
  • shared/
    • nipX # folders for nip specific code
    • # only internal code, no external dependencies!
  • data_layer/
    • data_sources/
      • # external apis, websocket impl etc.
    • models/
      • # type conversion e.g. json to entity
    • repositories/
      • # repository implementations (implementing domain_layer repos)
  • domain_layer/
    • entities/
      • # our entities e.g. data types
    • repositories/
      • # contracts
    • usecases/
      • # our main code / business logic
  • presentation_layer/
    • # contains our api design (makes usecases accessible to outside world)
  • ndk.dart # entrypoint, points to presentation_layer

Engines

NDK ships with two network Engines. An Engine is part of the code that resolves nostr requests over the network and handles the WebSocket connections.
Its used to handle the inbox/outbox (gossip) model efficiently.

Lists Engine:
Precalculates the best possible relays based on nip65 data. During calculation relay connectivity is taken into account. This works by connecting and checking the health status of a relay before its added to the ranking pool.
This method gets close to the optimal connections given a certain pubkey coverage.

Just in Time (JIT) Engine:
JIT Engine does the ranking on the fly only for the missing coverage/pubkey. Healthy relays are assumed during ranking and replaced later on if a relay fails to connect.
To Avoid rarely used relays and spawning a bunch of unessecary connections, already connected relays get a boost, and a usefulness score is considered for the ranking.
For more information look here

Custom Engine
If you want to implement your own engine with custom behavior you need to touch the following things:

1. implement NetworkEngine interface
2. write your response stream to networkController in the RequestState
3. if you need global state you can register your own data type in global_state.dart
4. initialize your engine in init.dart

The current state solution is not ideal because it requires coordination between the engine authors and not enforceable by code. If you have ideas how to improve this system, please reach out.

The network engine is only concerned about network requests! Caching and avoiding concurrency is handled by separate usecases. Take a look at requests.dart usecase to learn more.