atproxy – proxy Android app TCP traffic to an upstream HTTP proxy
iptables-based transparency beats manual proxy config for stubborn Android apps.
A JS ClickHouse HTTP client library that supports lz4 and ZSTD
Native binary format beats JSONEachRow by 2–8x on large payloads with ZSTD compression.
Backend engineers using ClickHouse with Node.js, Bun, or Deno
@clickhouse/client · clickhouse-js
I’ve been working on this project for the last year for use at https://www.hockeystack.com/. It started out of frustration with how CPU-heavy gzip/deflate are in the official ClickHouse JS client once you start scaling up inserts. From there it evolved into a completionist desire to make the best ClickHouse client implementation I possibly could.
Highlights: * ZSTD/LZ4 support in browsers over HTTP and in Node/Bun/Deno over HTTP or TCP * An aggressively fuzzed Native-format implementation * Supports all types + container types at arbitrary levels of nesting, including Variant, Dynamic, JSON, Nested, and Tuple * CI round-trips ClickHouse’s own generateRandom and generateRandomStructure and I’ve got a separate fuzzing implementation which includes JSON, Variant and Dynamic * The parser is synchronous and resumable internally. The async wrapper buffers blocks and fetches more data whenever there isn’t enough available to parse a column. * A fully functional TCP client for Node/Bun/Deno * Supports ProfileEvents, logs, progress, and the other protocol packet types * Supports [external tables](https://clickhouse.com/docs/engines/table-engines/special/ex...) * Supports [native query params](https://clickhouse.com/docs/sql-reference/syntax#defining-an...)
A secondary motivation is for this to serve as a decent reference implementation in a relatively high-level—albeit kinda shitty—language. In theory, someone could point an LLM at it and use /goal or whatever to get a usable implementation in another language.
Hope it proves useful to folks!
iptables-based transparency beats manual proxy config for stubborn Android apps.
Bit-perfect Apple URL compression reverse engineered in Go and JavaScript.
Wire-protocol parsing means zero Docker overhead for Kafka integration tests.
Layer-by-layer network diagnosis when curl and dig already exist separately.
574/574 PromQL parity tests passing against real Prometheus, but still experimental.
Full network stack in 8 kB of Go on a Pico—genuinely constrainted yet functional hardware hack.