BlazeDiff

dif.sh is a developer tool for storing feature flags, A/B tests, holdouts, and staged rollouts as Markdown files in a Git repository. Each experiment uses frontmatter for its status, audience, variants, metrics, guardrails, and exclusion group, while Git provides versioning and pull requests provide review and audit history. Its CLI initializes the repository structure, drafts experiments from surface-specific learning logs, validates configurations, previews assignments, builds a typed client, and archives concluded tests. The build resolves exclusion groups and fails on conflicting live experiments, generates a client that evaluates variants in the application without a production service call, and refreshes dif/context.json for coding agents. Audience rules declare runtime attributes such as country, plan, or returning-visitor status without committing customer lists. The optional Dif Cloud integration can calculate lift through dif.track(); alternatively, custom event handlers can forward results to other analytics systems. The project provides an npm CLI package and an SDK, and its site describes a no-signup workflow.

stable-diffusion.cpp is a pure C/C++ inference implementation for diffusion image and video models, based on ggml and designed to work similarly to llama.cpp. It provides a command-line executable for generating and editing images from text or image inputs, with support for model families including Stable Diffusion, SDXL, SD3, FLUX, Qwen Image, Wan, LTX, and other listed image and video models. The project supports PyTorch checkpoints, Safetensors, and GGUF weights, and can convert weights to GGUF or Safetensors. It runs on CPU, CUDA, Vulkan, Metal, OpenCL, and SYCL backends across Linux, macOS, Windows, and Android via Termux; features include LoRA, ControlNet, IP-Adapter, latent-consistency models, VAE tiling, ESRGAN upscaling, quantization, and an embedded web UI. The repository is under active development, so its API and command-line options may change frequently.

ddc is a Rust command-line Android decompiler that converts DEX bytecode from APKs and related containers into readable Java. It supports multi-dex applications, XAPK/APKS/APKM packages, DEX versions 035–041, lambdas, string concatenations, and selected Android and Kotlin-specific output transformations. Its progressive-analysis interface provides subcommands for inspecting application metadata, manifests, resources, strings, cross-references, classes, methods, disassembly, and class hierarchies without requiring a complete decompilation first. The repository reports that its generated Java output passes a javac syntax check across its validation corpus and uses deadline-bounded processing for pathological classes. The CLI can be installed through Homebrew, Scoop, cargo-binstall, or built from Rust source. It provides bilingual English and Simplified Chinese messages, emits reproducible output without timestamps, and is released under the MIT license.

Splash is a local inference engine for Apple silicon developed by Inco AI. It serves selected language models to coding agents and clients compatible with the OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs, with streaming, tool calls, JSON Schema output, image input, and inline PDF support. Its runtime uses model-specific fused Metal kernels, weights packed for those kernels, a dedicated DFlash 2 draft model for speculative decoding, and a startup-computed memory plan for context, KV cache, and batching. The served model packages include the target model and its draft model; plain MLX or Transformers checkpoints are not supported. Splash runs locally on macOS, binds to a local HTTP server by default, and can be installed through Homebrew. The project is licensed under Apache-2.0, while model weights retain their own licenses.

Glyd is a Rust lossless-compression library and command-line tool with a C ABI, streaming interfaces, and Python and Go bindings. It targets object storage, data lakes, logs, telemetry, backups, versioned exports, RPC payloads, and caches as an alternative to LZ4, Snappy, and zstd. Its record mode detects delimited records, SQL dumps, JSON lines, and varying-shape logs, converts fields or template variables into typed streams, and compresses them in parallel. Base mode compresses a new version against an older version by using regions of the old data as history. The format uses independently decodable blocks and parallel paths; higher levels use separated token, offset, length, and literal streams with SIMD-oriented decoding, while long-distance matching can find repeated content up to 128 MB back. The repository also provides shape dictionaries for small objects, packs for many small objects, container and JPEG handling at selected levels, and a cold context-mixing level for infrequently read data. The separate glyd-store crate and CLI select similar stored objects as delta bases using fingerprints, cap delta chains, and support local directories and S3-compatible backends. The codec, CLI, C ABI, and bindings use the BSD 3-Clause License or GPL-2.0; glyd-store uses the Business Source License 1.1, with commercial production use requiring a license and conversion to Apache-2.0 four years after each release.