Bit-exact MoonBit port of SpikingNeuralNetworks.jl plus CNN primitives + 5D spatiotemporal tensors + full optimiser suite + normalisation layers + learning-rate schedulers + generic Chain + pre-made bottles + ResNet foundations + surrogate gradients + transformer activations. Covers IF, AdEx, Izhikevich (IZ), HH, Morris-Lecar, Poisson neurons; Markram STP, Gerstner / MexicanHat / AntiSymmetric STDP, vSTDP, Confavreux2025, Receptors (AMPA / NMDA / GABAa / GABAb), multicompartment dendritic neurons (BallAndStick, Tripod, Multipod); Conv2d / MaxPool2d / ReLU / Flatten / Linear forward + backward primitives; Tensor struct with broadcasting + softmax + log-softmax + cross-entropy; image adapter (BMP/QOI/TGA/PNG/GIF/JPEG/ICO/TIFF) via riantr/moonbit_image; 5D [T,B,C,H,W] STImage for spiking-CNN time-series input; SGD + SGD-with-momentum + Adam (with bias correction) + AdamW (decoupled weight decay) + RMSprop + AdaGrad optimisers; BatchNorm2d (with running stats + training/inference modes) + LayerNorm (per-sample, no running stats) with forward + backward; StepLR + ExponentialLR + CosineAnnealingLR + ReduceLROnPlateau schedulers; generic Chain / Sequential over Conv2d / ReLU / MaxPool2d / Flatten / Linear / BatchNorm2d / LayerNorm via tagged-enum dispatch with shape tracking and per-layer parameter gradients; pre-made MLP / SimpleCNN / LeNet5 bottles with He-init + xoshiro RNG; elementwise Add + AvgPool2d / GlobalAvgPool2d + ResidualBlock (identity + projection variants) ResNet foundations; fast-sigmoid surrogate gradient (Zenke & Ganguli 2018) for BPTT through IF / LIF Heaviside spikes; GELU (Gaussian Error Linear Unit) tanh-approximation activation for transformer FFN; Multi-Head Self-Attention (Vaswani 2017) with Q/K/V/O projections, scaled dot-product, head split/merge, optional additive mask, and full backward through softmax + linear projections; sinusoidal (fixed) and learnable (Xavier-init) positional encoding with backward for learnable variant; Pre-Norm Transformer block (LN → MHA → + → LN → FFN(GELU) → +) with full BPTT-style backward; attention mask utilities (causal mask + head-broadcast + allowed-keys → additive mask); inverted dropout regularisation (Bernoulli mask with 1/(1-p) scale, training/inference mode toggle); Spiking Self-Attention (SpikeFormer-style) that replaces softmax along key axis with fast-sigmoid surrogate from v0.22.0, with full BPTT-compatible backward using the surrogate gradient; Pre-Norm Spiking Transformer block (LN → SpikingAttention → + → LN → FFN(GELU) → +) demonstrating the full SNN-Transformer training pipeline; Mini-SpikeFormer training demo (synthetic 28×28 dataset + patch embedding + learnable class token + SpikingTransformerBlock + classifier + cross-entropy + per-parameter gradient clipping + SGD); exact (sparse) GELU activation `x · Φ(x)` via libm `erff` for the cumulative normal distribution; Adafactor optimizer (Shazeer 2018) with factorised second-moment estimation for memory-efficient 2D + 1D updates; LayerScale (Touvron 2021) per-channel learnable scale γ (init=1e-4) on residual branches for stable training of deep transformers; T5-style relative position bias (Raffel 2020) added directly to attention scores per (head, offset) with linear-bucket clamping; consolidated SAttention module (sattention.mbt) unifying three spiking attention variants — SpikingMultiHeadAttention (multi-head self-attention, default), SpikingSelfAttention (single-head convenience), SpikingCrossAttention (cross-attention with separate Q/KV inputs) — all using fast-sigmoid forward + surrogate backward from v0.22.0; SRNN training demo (CSNN-style) with Poisson-encoded 2D images → T-step IF state evolution → linear readout → softmax + cross-entropy + BPTT through time using fast_sigmoid_surrogate; SCNN v2 with full K-step SGD training loop, per-layer gradient clipping, and accuracy tracking on the synthetic dataset. Float32 end-to-end with libm FFI (expf, tanhf, logf, sqrtf, cosf, sinf, erff). 1177 tests passing, 76 examples ported from Julia.

An offline, reproducible incident forensics cockpit written in MoonBit

A transport-neutral resource policy and audit engine for MoonBit hosts

iCalendar (RFC 5545) parsing, recurrence expansion, and a minimal CalDAV server in pure MoonBit

Native MoonBit MaxMind DB reader with bounded decoding and exact values

Typed MoonBit bindings for browser DOM APIs

A deterministic context audit tool for LLM and agent workflows

A pure-MoonBit declarative API test runner: parses .probe cases, sends HTTP requests, asserts responses, and emits console / JUnit XML reports.

An explainable finite-domain constraint solver and scheduling toolkit for MoonBit.

A pure MoonBit FITS astronomy data parser, validator, and toolkit.

jeeflow unified facade: flow(action, args) 46 actions + contract outlet layer

jeeflow MySQL repository (moondb Driver trait + moonmysql async conn)

An offline, reproducible incident forensics cockpit written in MoonBit

A transport-neutral resource policy and audit engine for MoonBit hosts

A deterministic context audit tool for LLM and agent workflows

A pure-MoonBit declarative API test runner: parses .probe cases, sends HTTP requests, asserts responses, and emits console / JUnit XML reports.

An explainable finite-domain constraint solver and scheduling toolkit for MoonBit.

A pure MoonBit FITS astronomy data parser, validator, and toolkit.

A portable Public Suffix List engine for registrable-domain decisions in MoonBit.

Producer and consumer demo for daqing/moonkafka

A generic in-memory cache with LRU/LFU/ARC/WindowTinyLfu eviction, TTL expiry, and a memoizing get-or-insert helper

Milvus vector database client for MoonBit

Generic snapshot undo/redo and transactional state history for MoonBit applications

Posoco LLM Extension - host-injected model slot router

experimental packages for moonbitlang/core

Asynchronous programming library for MoonBit

Cross-platform MoonBit compatibility facades with native delegation and accelerated JS implementations for async IO, bytes, regexp, and JSON.

Pure MoonBit zlib/deflate implementation.

Automatic testing of MoonBit programs

AST and parsers for the MoonBit programming language

Workflow engine core with Starlark-subset parser, DAG execution, and cache planning primitives.

Temporary file and directory management for MoonBit

Pure MoonBit LLM client library

A generic lexer library for handwritten lexers in MoonBit

A TOML parser implementation in MoonBit

A LR(1) parser generator for MoonBit programming language.