thinkinglanguage

ThinkingLanguage

A purpose-built language for Data Engineering & AI.

Try it in your browser — no install: tl.thinkingdbx.com

This npm package installs the tl CLI binary by downloading the appropriate prebuilt release for your platform from GitHub Releases.

Highlights

• Native tables — columnar data on Apache Arrow / DataFusion with pipe-based transforms
• Data connectors (read & write) — PostgreSQL, MySQL, Redshift, Snowflake, BigQuery, Databricks, ClickHouse, MongoDB, SQLite, DuckDB, S3, and Apache Iceberg
• AI/ML built-in — tensors, model training, ONNX inference, embeddings, LLM APIs, AI agents with tool-use, and MCP client/server
• Streaming & pipelines — ETL/ELT constructs, windowed streams, Kafka
• Gradual typing — optional annotations, generics, traits, pattern matching, Result/Option with ?
• Ownership semantics — pipe-as-move, .clone(), read-only &ref, use-after-move detection
• Multiple backends — bytecode VM (default), LLVM AOT native compilation, WASM browser target
• Rich tooling — LSP server, VS Code extension, formatter, linter, doc generator, package manager, REPL

Install

npx thinkinglanguage --help

Or install globally:

npm install -g thinkinglanguage
tl --help

Supported platforms

• Linux x86_64
• macOS arm64 (Apple Silicon)
• Windows x86_64

Quick example

let users = read_csv("users.csv")

users
    |> filter(age > 30)
    |> aggregate(by: department, count: count(), avg_age: avg(age))
    |> sort("count", "desc")
    |> show()

Links

• Playground — run ThinkingLanguage in your browser
• Repository
• Documentation
• Website

License

Apache-2.0