The application incorporates an editor, code insight, debugging tools, Git integration, a terminal, and database and HTTP clients for over 60 languages. In multi-run benchmarks on a 32-core Windows 11 machine using the freqtrade project, it used just 169 MB of RAM compared to over 2 GB in IntelliJ IDEA. However, this comparison reflects different computational workloads, as IntelliJ executes a deeper Python analysis before settling. Development prerequisites for the platform require Rust 1.96, Node 22, pnpm, and Tauri.
Key points
The software provides substantial reductions in resource overhead while preserving the to…: The software provides substantial reductions in resource overhead while preserving the tool windows and keymaps familiar to IntelliJ users.
Performance discrepancies exist partly because traditional IntelliJ builds perform signif…: Performance discrepancies exist partly because traditional IntelliJ builds perform significantly deeper language analysis prior to settling.
Contributors building the project locally must set up environments utilizing Rust 1.96, N…: Contributors building the project locally must set up environments utilizing Rust 1.96, Node 22, pnpm, and Tauri.
Sources checked by our analysis pipeline: 1
The IDE you know, rebuilt in Rust.
Download · Benchmark · Build · Discord
openidea-promo.mp4
OpenIDEA brings the IntelliJ IDEA way of working — its keymap, its tool windows, its search-everything habits — to a native app with a Rust core.
Editor, code insight, debugger, Git, terminal, database and HTTP clients, for 60+ languages. Builds for macOS, Windows and Linux.
Opening freqtrade (Python, ~770 files) with warm caches, median of 5 runs:
OpenIDEA | IntelliJ IDEA 2026.2.3 | |
---|---|---|
Window with the project | 0.9 s | 3.1 s |
Ready (CPU settled) | 1.1 s | 13.2 s |
Memory (USS, all processes) | 169 MB | 2011 MB |
CPU time until ready | 2.4 s | 47.9 s |
Idle CPU | 4 % of a core | 7 % of a core |
Quit | 0.3 s | 5.9 s |
A release build of OpenIDEA from main
and IDEA with default settings and plugins, on
Windows 11, 32-core AMD, 62 GB RAM.
IDEA analyses Python more deeply, so "ready" doesn't mean the same work…
City officials are growing increasingly alarmed that an unregulated surge of autonomous vehicles could overwhelm metropolitan infrastructure and displace human workers. Because existing statutes leave local transport authorities powerless to directly license or regulate these incoming fleets, regional leaders are demanding broader supervisory control from national lawmakers.
Recent analysis suggests a potential nationwide realignment in the tech sector that could weaken the influence of major urban centers across the state. This possible shift points to emerging vulnerabilities for metropolitan markets that previously served as focal points for industry growth and corporate expansion. A full understanding of the broader economic consequences will depend on further access to the underlying research.
Travelers navigating Japan's renowned rail network face significant digital friction due to the 1987 division of the system into six distinct regional companies. Because each operator runs its own booking platform, customers must research corporate territories and navigate dense interfaces instead of simply reserving a route from point A to point B. This fragmented structure highlights how internal corporate boundaries can directly undermine consumer-facing software.