ddc

Droid ASC is an Android APK decompiler front end for mobile researchers and agents. It treats compiled APK and DEX data as a read-only database, querying code relationships on demand instead of building large global indexes or fully inflating all artifacts. The engine probes Deflate bitstreams directly, uses dense Huffman lookup tables to extract metadata, exploits R8's deterministic constant relocation and instruction deduplication for cross-DEX searches, and resolves bytecode offsets to methods with an O(1) instruction-location primitive. When a target is found, it extracts the target bytecode and dependencies and reconstructs a minimal self-contained DEX in memory for decompilation. It is distributed as the `droidasc` Python CLI, installable from PyPI or source. Its commands locate and decompile classes, decode `AndroidManifest.xml`, and find string, type, method, or field references across an APK's DEX entries. The README reports a demonstration against a 352 MB commercial APK in which cross-reference search took 1.79 seconds and target-class decompilation took 177 milliseconds using 141 MB of RAM.

DBX is an open-source, cross-platform database client developed in the t8y2/dbx project. It provides desktop, web, Docker, and CLI distributions for connecting to more than 100 databases and related systems, including MySQL, PostgreSQL, SQLite, Redis, MongoDB, DuckDB, SQL Server, message queues, and service registries. The desktop application uses Tauri, Vue, TypeScript, and Rust and is distributed as a small native binary without a bundled Java runtime, Python environment, or Chromium. Its query editor uses CodeMirror 6 with SQL completion, formatting, diagnostics, history, saved snippets, and file execution. Schema and data tools include object browsing, table editing, ER diagrams, schema comparison, explain plans, field lineage, imports, database transfers, exports, data comparison, and previews of Parquet, CSV, and JSON files through DuckDB. Specialized interfaces support Redis and MongoDB, while consoles cover Kafka, RocketMQ, RabbitMQ, Pulsar, MQTT, Nacos, Consul, ZooKeeper, and etcd. DBX includes an AI SQL assistant that converts natural-language requests into SQL, explains and optimizes queries, fixes errors, and checks generated SQL before execution. It supports Claude, OpenAI, local Ollama models, and OpenAI-compatible endpoints. A separately distributed Rust MCP server lets compatible coding agents such as Claude Code, Cursor, and Windsurf list connections, browse tables, execute SQL, and open tables in DBX; access can be restricted to read-only, safe-write, or high-risk-write modes. The project also provides a CLI for terminal and agent workflows, a signed and sandboxed plugin system with Go and TypeScript SDKs, encrypted credential storage, SSH tunnels, and Docker-based self-hosting. It is licensed under Apache-2.0.

CLODEx is an open-source, local-first, zero-trust agentic IDE for long-running software engineering work. It maintains durable tasks with searchable history, workspace-aware context, restart recovery, and continued work across sessions, combining code editing, pending edits, line-level diffs, Git and worktrees, persistent terminal sessions, embedded browsing, screenshots, models, and MCP tools in one desktop workspace. Sensitive actions can require explicit approval and remain reviewable; its governing principle is that model output is input, not authority. CLODEx supports account-backed models, bring-your-own provider keys, compatible endpoints, and local Ollama models, and is available for macOS, Windows, and Linux.

deident-wasm is a Rust privacy transformation engine for structured datasets. It applies declarative YAML policies to CSV, JSONL/NDJSON, Parquet, and DICOM data, supporting reversible pseudonymization and risk-assessed anonymization. Policies classify columns as direct identifiers, quasi-identifiers, sensitive data, or utility fields and can tokenize, remove, redact, bucket, truncate dates, or retain prefixes. The engine also detects identifiers embedded in content using built-in or custom regular expressions, with options to redact, tokenize, or replace matches with structurally valid fakes. It can process chained datasets with shared token scoping so foreign keys remain joinable after pseudonymization. Jobs may run in isolated WebAssembly sandboxes using Wasmtime and WASI, with a fresh store, one preopened directory, no network access, and memory, CPU, and time limits. An optional XChaCha20-Poly1305 mapping vault stores original-to-token mappings for authorized reversal. The tool produces risk reports containing row counts, identifier actions, pattern findings, and equivalence-class statistics; a minimum-k requirement can act as a CI post-condition. Its anonymization mode is described as reducing and measuring re-identification risk rather than certifying anonymity, while pseudonymized output remains personal data. The repository also documents DICOM metadata de-identification with consistent UID remapping.

ctrlb-decompose is a log-processing tool from ctrlb that converts large, repetitive log files into compact, LLM-ready patterns with typed variables, quantiles, anomaly information, severity scores, and example values. Its single-pass pipeline extracts and normalizes timestamps, applies CLP encoding to replace integers, floats, IP addresses, and strings with compact placeholders, clusters log types with the tree-based Drain3 algorithm, and merges wildcard positions with decoded values for semantic typing such as IPv4, UUID, duration, enum, and integer. It accumulates DDSketch quantiles, HyperLogLog cardinality estimates, top-k values, temporal buckets, and reservoir-sampled lines, and provides human-readable and LLM-optimization output modes. The project runs as a CLI, a Rust library, or client-side WebAssembly in the browser; its README states that logs remain on the local machine.