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lancedb/docs/web/basics/sdk.mdx
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Brendan Clement e20664740f docs: publish the Function pages only once Functions launch
The two Function pages declare `launch: functions`, and every other page
marks what it says about Functions, so the assembled site leaves them out
until the launch. Before it, the pages that offered Functions for Python
work point Enterprise readers at Geneva instead.

The SQL Function example now uses Arrow type names, which the server
requires, and states the 3.12 default for `python_version`.
2026-10-09 13:07:33 -07:00

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---
title: "SDKs"
sidebarTitle: "SDKs"
description: "The language clients — Python, TypeScript, Rust — and what stays true across all of them."
icon: code-compare
keywords: ["python", "typescript", "rust", "java", "sdk", "rest", "api reference"]
availability:
oss: available
enterprise: available
summary: >-
The Python, TypeScript and Rust SDKs work with embedded databases and,
through `db://`, with Enterprise deployments; the Java SDK reaches
deployments only. What each can do differs by language and connection.
---
A language SDK is the primary way to work with LanceDB: create and manage
tables, write and query data, build indexes, run feature engineering. The same
table API works whether you're connected to an embedded database or an
Enterprise deployment -- application code moves between the two by changing
the connection URI.
## Officially supported SDKs {#supported-sdks}
Python, TypeScript and Rust are supported against both embedded and deployed
LanceDB.
| Reference | Description |
|:--------------|-------------------|
| <Icon icon="python" /> [Python](https://lancedb.github.io/lancedb/python/python/) | Full-featured Python client with pandas and numpy integration |
| <Icon icon="square-js" /> [TypeScript](https://lancedb.github.io/lancedb/js/) | A TypeScript wrapper around the Rust library, built with `napi-rs` |
| <Icon icon="rust" /> [Rust](https://docs.rs/lancedb/latest/lancedb/index.html) | Native Rust library with persistent storage and high performance |
Not every SDK covers the same surface, though:
| | Python | TypeScript |
| --- | :---: | :---: |
| Create and manage catalog objects | yes | yes |
| Insert, merge, update, delete | yes | yes |
| Filter, project | yes | yes |
| Vector search | yes | yes |
| Full-text search | yes | yes |
| Feature engineering, jobs | yes | partly |
| Runs against a local database | yes | yes |
Neither SDK aggregates or joins.
TypeScript has no methods for [functions](/management/function). {/* if functions launched */}
Reach those with SQL on a deployment instead -- see [SQL](/basics/sql).
## REST API {#rest}
<Badge color="red">Enterprise</Badge> A deployment implements the
[Lance REST Namespace](/basics/lance#enterprise), so the catalog is reachable
over HTTP by anything that speaks it -- see the
[REST API reference](/api-reference/rest).
| Reference | Description |
|:--------------|-------------------|
| <Icon icon="java" /> [Java](https://lancedb.github.io/lancedb/java/java/) | REST API Enterprise SDK in Java |
## Community SDKs {#community-sdks}
Contributed by the community rather than supported by LanceDB, so feature parity
and release cadence vary.
| Reference | Description |
|:--------------|-------------------|
| <Icon icon="golang" /> [Go](https://pkg.go.dev/github.com/lancedb/lancedb-go/pkg/lancedb) | Community-contributed Go SDK |
| <Icon icon="gem" /> [Ruby](https://github.com/scientist-labs/lancelot) | Community-contributed Ruby bindings |
| <Icon icon="swift" /> [Swift](https://github.com/RyanLisse/LanceDbSwiftKit) | Community-contributed Swift SDK |
| <Icon icon="R" /> [R](https://github.com/CathalByrneGit/lancedb) | Community-contributed R package |
| <Icon icon="flutter" /> [Flutter](https://github.com/Alexcn/flutter_lancedb) | Community-contributed Flutter bindings |
For any other language, [SQL](/basics/sql) on a deployment reaches the same
tables without a LanceDB-specific SDK at all.
## Python multiprocessing {#multiprocessing}
<Warning>
Do not use `fork` as the start method with Python's `multiprocessing` module.
Lance is multi-threaded internally, and `fork` with alive threads is unsafe --
use `spawn` instead. See
[this discussion](https://discuss.python.org/t/concerns-regarding-deprecation-of-fork-with-alive-threads/33555)
for why.
</Warning>
## What stays the same {#invariants}
Whichever you pick:
- **Types are Arrow types.** A vector column is a `FixedSizeList<Float32>`
everywhere, not a SQL type mapped onto storage. See
[Functions and types](/sql/functions).
- **Reads are Arrow.** Nothing is serialized into language objects on the way out
unless you convert it.
- **The catalog is one catalog.** A table created from TypeScript is visible to
Python and to SQL immediately -- there is no per-language namespace.
## What to read next {#next}
<CardGroup cols={2}>
<Card title="SQL" icon="table-list" href="/basics/sql">
The same tables, reached by any Flight SQL client -- and the one way in for a language with no SDK.
</Card>
<Card title="Agentic Skills" icon="robot" href="/basics/agentic-skills">
Give a coding agent a current reference to this same API surface.
</Card>
</CardGroup>