NURL registrynurl-lang.org →56 package(s) · get a publish token →
0.7.0 — Streaming anomaly-detection service in pure NURL — dynamically created, automatically trained models over Isolation Forests. Where the `iforest` package is the 0.6.0 — Audio for speech models, in pure NURL: read WAV, resample it honestly, and compute the log-mel spectrogram. The WAV reader treats the file as untrusted input — 0.1.2 — Reproduce NURL's performance claims on your own machine — a runnable benchmark suite, not a number in a README. `benchmark` measures pure-NURL throughput for th0.1.0 — Content-addressed store over BLAKE3 — the keystone of a verifiable build/distribution chain: bytes in, their BLAKE3-256 hex out, and from then on the hash IS th0.1.1 — Terminal data-visualisation — sparklines, bar charts, histograms, and line plots, as a CLI and a reusable library.0.2.1 — The ergonomic command-line framework for NURL. A single dependency-importable facade over the stdlib command-line surface (std/args parser, std/term isatty + AN0.1.0 — A training DataLoader in pure NURL — the batching layer the training stack was missing. Wrap an in-memory dataset (flat f64 features + optional labels) or strea0.3.1 — The embedding server, in pure NURL — load an XLM-RoBERTa-family text encoder (BGE-M3, multilingual-e5, …) from a Hugging Face model directory and serve embeddin0.3.2 — Bulletproof GGUF container toolkit — parse, verify, write and dequantise the ggml-ecosystem tensor format (llama.cpp, whisper.cpp, stable-diffusion.cpp) in pure0.11.2 — GPU compute for NURL — compiled kernels are cached on disk as device-specific CUBINs (keyed by source hash AND target architecture; loading a CUBIN needs no dri0.7.1 — The ergonomic GPU-compute toolkit for NURL — a diamond facade over the `gpu` package that kills the marshalling boilerplate every GPU-using package re-invents. 0.10.3 — Reverse-mode automatic differentiation over the tensor package — the training keystone. Build a computation eagerly with tape-recording ops (g_add, g_matmul, g_0.4.0 — The unified HTTP server interface for NURL — one dependency for anything that needs to SERVE HTTP. A single importable facade over the stdlib HTTP stack (socket0.1.2 — Fetch models from Hugging Face into one shared, verified, on-disk cache — the front door every model package was missing. Every model package used to start with0.1.1 — Isolation Forest anomaly detection — a CLI and a reusable library.0.6.0 — Pure-NURL image codecs + raster ops — decode, encode and transform images with no native library and no ImageMagick/ffmpeg shell-out. PNG decode covers the comp0.9.6 — Streaming 3-D reconstruction in pure NURL. Point it at a video or a folder of frames — `lingbot-map frames/` — and it writes a world-space point cloud as a PLY,0.1.0 — An embedded, crash-safe key/value store in pure NURL — a real LSM tree: write-ahead log, skip-list memtable, immutable CRC-checked SSTables with a Bloom filter 0.4.4 — Metric 3-D reconstruction from plain images in pure NURL — a port of Meta's MapAnything (https://github.com/facebookresearch/map-anything). Point it at a set of0.1.2 — Render Markdown to HTML — a small CLI and reusable renderer library.0.1.1 — Mermaid flowcharts to SVG, as a multi-threaded HTTP server that is also an MCP server — one process, one port, both protocols. Parses the graph/flowchart dialec0.3.6 — Trainable multi-layer perceptron in pure NURL — dense layers, ReLU, Adam, minibatches, early stopping. The training-side counterpart to the ecosystem's inferenc0.1.4 — Neural-network layers on the grad autograd tape — the reusable middle the training stack was missing. Every layer is a pure tape builder (GVar -> GVar over a GT0.1.1 — A tiny jq-lite JSON query tool: navigate, iterate, and pretty-print JSON from the command line.0.12.2 — Local MCP server for the NURL toolchain — dual-era MCP (the 2026-07-28 stateless revision with server/discover and per-request _meta, plus the legacy initialize0.2.0 — The Swiss Army knife of NURL — a single multi-call binary carrying 100 POSIX-shaped UNIX utilities, including a real `sh` (quoting, parameter and command substi0.17.4 — Run language models locally, in pure NURL — an ollama-shaped engine built package by package on the gguf container toolkit and the gpu compute package. `nurllam0.1.1 — Throwaway package used to exercise the registry end to end — pack, publish, resolve, install, run. Deliberately tiny and dependency-free so a publish is a coupl1.0.8 — A WebAssembly runtime written in pure NURL — load a wasm module and run it, with no external runtime. It decodes a wasm binary (all standard sections incl. the 0.3.5 — Object detection from pure NURL, GPU-accelerated, using any tiny-YOLOv2-style ONNX model. Reads an image natively in any format the image package decodes (PNG, 0.8.1 — Run ONNX neural-network models from pure NURL, GPU-accelerated. The model's protobuf is decoded by a pure-NURL wire-format reader (no protoc, no external protob0.3.1 — A pure-NURL Private PKI (Public Key Infrastructure) server and CA manager. Provides X.509 certificate authority operations with a choice of classical ECDSA P-250.2.3 — Write and view PLY point clouds in pure NURL. The writer streams: `ply_create` opens the file and writes a header whose vertex count is a fixed-width zero-padde0.2.1 — Post-quantum cryptography on the command line, and a probe for whether the servers you talk to are ready for it. Implements both halves of the migration in pure0.3.1 — Pure-NURL PostgreSQL client — v3 wire protocol, SCRAM-SHA-256 / MD5 auth, and TLS (pure-NURL, X25519 + P-256) with no libpq and no OpenSSL. Connects securely fr0.2.1 — Pure-NURL Redis client — RESP2 protocol over a libc TCP socket, with an optional pure-NURL TLS upgrade (rediss://, no OpenSSL on the target). A reusable library0.4.2 — The NURL package registry, served by NURL itself — a self-hostable registry speaking exactly the wire protocol nurlpkg already drives: GET /index/<name>.json + 0.3.3 — Read and write the safetensors tensor container in pure NURL — the format Hugging Face ships every modern model in — with a hostile-input-hardened reader and a 0.2.0 — A distributed compute cluster you join by installing it. Run `swarm worker <relay> <port>` on any machine and it announces itself over the relay group, every no0.28.2 — An MCP-controlled distributed compute engine with real GPU compute over real data. Every node runs the same command with composable role flags — --relay, --work0.1.0 — HTML template engine — Jinja-flavoured {{ vars }}, {% if/elif/else %}, {% for %} with loop.index/first/last, {% include %} partials and filters (raw/upper/lower0.4.5 — The reusable n-dimensional array for NURL — the shared ML layer over gpukit. It is the ndarray the rest of the ML stack builds on: onnx, grad, nn and anomaly si0.3.2 — The tokenizer that feeds a language model, in pure NURL — and it does not care which file the vocabulary arrived in. Two engines: SentencePiece-style bigram mer0.1.1 — Read PyTorch .pt / .pth checkpoints in pure NURL — the format every research model still ships in — without executing them. A torch.save file is a ZIP archive h0.1.0 — Turn a video file into ordered JPEG frames, in pure NURL where the container allows it. MJPEG-in-AVI is parsed here with no external anything: an AVI is a RIFF 0.1.0 — A vector index in pure NURL — the retrieval middle between embeddings and generation (the RAG piece). Build an index over n d-dimensional vectors and search the0.2.1 — Compile NURL to wasm32-wasi locally — no wasi-sdk, no build service. Drives the installed toolchain end to end: nurlc emits LLVM IR, the production IR rewriter 0.14.0 — A WebAssembly runtime written in pure NURL — load a wasm module and run it, with no external runtime. It decodes a wasm binary (all standard sections incl. the 1.1.1 — Speech recognition in pure NURL — whisper, running from the safetensors checkpoint Hugging Face ships, on the GPU or the CPU. `whisper transcribe openai/whisper0.6.10 — Promptable, open-vocabulary object detection AND instance segmentation from pure NURL on the GPU — a NURL port of YOLOE (THU-MIG, 'Real-Time Seeing Anything', I0.2.8 — Live YOLOE in the browser, served by pure NURL — open your webcam on a web page and watch open-vocabulary detection + instance segmentation stream back at you. 0.2.0 — Zstandard on the command line, with no Zstandard underneath: compress, decompress, verify, benchmark, and — the part no other tool gives you — inspect, which pr