OpenIDEA is an Apache-2.0 licensed, cross-platform desktop IDE built as a Tauri application with a Rust core, aimed at developers who want the IntelliJ IDEA way of working — its keymap, tool windows and search-everywhere habits — inside a fast native app that covers 60+ languages.

What it is

OpenIDEA is a desktop integrated development environment distributed as a native application for macOS, Windows and Linux. It is listed in this registry under TypeScript, and its README describes a Rust core built with Rust 1.96, Node 22 and pnpm against the Tauri prerequisites. Rather than inventing a new interaction model, it deliberately reproduces the IntelliJ IDEA way of working: the same keymap, the same tool-window layout, and the same habit of searching everywhere instead of navigating menus. The README is explicit that the project is not affiliated with JetBrains and that IntelliJ IDEA is a trademark of JetBrains s.r.o.

The concrete problem it addresses is the cost of that workflow in a JVM-based IDE. The README benchmarks opening the freqtrade repository (Python, roughly 770 files) with warm caches as a median of five runs on Windows 11: OpenIDEA shows the project window in 0.9 s against 3.1 s, reaches a settled ready state in 1.1 s against 13.2 s, uses 169 MB of unique set size across all processes against 2011 MB, and quits in 0.3 s against 5.9 s. The README concedes that IDEA analyses Python more deeply, so "ready" does not mean the same work on both sides. Instead of assembling an editor, a debugger, a Git client, a terminal, a database client and an HTTP client as separate tools, OpenIDEA ships them in one application.

Key capabilities

• An IntelliJ IDEA–style keymap, tool windows and search-everywhere navigation, so existing muscle memory carries over.
• An editor with code insight for 60+ languages, backed by LSP and DAP as listed in the project topics.
• An integrated debugger, Git integration and a built-in terminal in the same window.
• A database client and an HTTP client bundled alongside the editor rather than installed separately.
• Native notebook execution, tested through the ide-notebook package's kernel_runtime test target.
• A reproducible benchmark harness at perf/compare for running the same external measurements on your own machine and projects.
• Builds for macOS, Windows and Linux from a single Tauri codebase.

Who uses it and how

• Developers migrating from IntelliJ IDEA who want the same keymap and tool-window layout without relearning an editor.
• Polyglot teams working across many of the 60+ supported languages in a single application instead of switching between specialised editors.
• Backend and platform engineers who want the database client and HTTP client next to the code, terminal and Git history rather than in separate apps.
• Notebook users who need native kernel execution, with test runs requiring two distinct Python environments that have ipykernel installed.
• Performance-sensitive developers working on mid-sized codebases, using the freqtrade benchmark as a reference point for startup, memory and idle CPU.

Getting started

The README offers prebuilt downloads for macOS, Windows and Linux, and building from source requires Rust 1.96, Node 22, pnpm and the Tauri prerequisites, after which pnpm install followed by pnpm tauri dev starts the app.

How it compares

The only comparable tool named in the facts is IntelliJ IDEA, and the contrast is one of licence and footprint: OpenIDEA is Apache-2.0 with bundled third-party assets listed in THIRD_PARTY_LICENSES.md, while IntelliJ IDEA is a JetBrains trademark of a proprietary product. The README's own benchmark caveat is the honest axis of difference — IDEA performs deeper Python analysis, so OpenIDEA's faster ready time reflects less analysis work rather than identical output.

When to use it — and when not

Choose OpenIDEA if you want the IntelliJ IDEA interaction model, a single window covering editor, debugger, Git, terminal, database and HTTP work, and a small memory footprint, and you are comfortable either using the published downloads or maintaining a Rust 1.96, Node 22 and pnpm toolchain. Do not pick it if you depend on the depth of language analysis a mature JVM IDE provides, since the README itself notes that gap. The project is also young — 1,701 stars, 157 forks and 87 open issues — so expect the rough edges of an actively developed codebase rather than a settled one.

pnpm install
pnpm tauri dev

OPENIDEA_TEST_PYTHON=/first/env/bin/python \
OPENIDEA_TEST_PYTHON_SECOND=/second/env/bin/python \
cargo test -p ide-notebook --test kernel_runtime -- --ignored --test-threads=1