# @rapidsai/core > Shared CMake modules, TypeScript configurations, and C++ headers for RAPIDS node native modules Latest version **22.12.1** (published 2023-06-05) · Apache-2.0 license · 0 weekly downloads ## Install ```sh npm install @rapidsai/core pnpm add @rapidsai/core yarn add @rapidsai/core bun add @rapidsai/core ``` Provides the commands `rapidsai-install-native-module`, `rapidsai-merge-compile-commands`. ## Health **Score 30/100 (F)** — status: abandoned. Positive: has types; no vulnerabilities. Warnings: low downloads; no esm support. Negative: abandoned. ## Facts | | | |---|---| | Version | 22.12.1 | | Published | 2023-06-05 | | First published | 2022-08-16 | | Weekly downloads | 0 | | License | Apache-2.0 | | TypeScript types | bundled | | Module format | CommonJS | | Dependencies | 6 | | Unpacked size | 258.4 KB | | Known vulnerabilities | 0 | | Install scripts | no | | GitHub stars | 210 | | Author | NVIDIA, Inc. | | Maintainers | rapidsai-owner, raydouglass, jacobtomlinson | ## Links - npm: https://www.npmjs.com/package/@rapidsai/core - Repository: https://github.com/rapidsai/node - Homepage: https://github.com/rapidsai/node/tree/main/modules/core#readme - Issues: https://github.com/rapidsai/node/issues - npm.io page: https://npm.io/package/@rapidsai/core ## Dependencies (6) - [getos](https://npm.io/package/getos.md) 3.2.1 - [tslib](https://npm.io/package/tslib.md) ^2.3.0 - [bindings](https://npm.io/package/bindings.md) ^1.5.0 - [cmake-js](https://npm.io/package/cmake-js.md) 7.2.1 - [cross-env](https://npm.io/package/cross-env.md) 7.0.3 - [@types/node](https://npm.io/package/@types/node.md) ^15.0.0 ## Recent versions - 22.12.1 (latest) — 2023-06-05 - 22.12.0 — 2023-05-23 - 22.8.2 — 2023-02-28 - 22.8.1 — 2022-09-20 - 22.8.0 — 2022-09-02 - 22.6.2 — 2022-08-17 - 22.6.1 — 2022-08-16 - 22.6.0 — 2022-08-16 ## README #
  node-rapids
[`node-rapids`](https://github.com/rapidsai/node) is a collection of Node.js native addons for the [NVIDIA RAPIDS](https://rapids.ai/) suite of GPU-accelerated data-science and ETL libraries on Linux and WSL2. * [`@rapidsai/rmm`](https://github.com/rapidsai/node/tree/main/modules/rmm) - [RAPIDS Memory Manager](https://github.com/rapidsai/rmm) * [`@rapidsai/cudf`](https://github.com/rapidsai/node/tree/main/modules/cudf) - [RAPIDS GPU DataFrame](https://github.com/rapidsai/cudf) * [`@rapidsai/cuml`](https://github.com/rapidsai/node/tree/main/modules/cuml) - [RAPIDS Machine Learning Library](https://github.com/rapidsai/cuml) * [`@rapidsai/cugraph`](https://github.com/rapidsai/node/tree/main/modules/cugraph) - [RAPIDS Graph Analytics Library](https://github.com/rapidsai/cugraph) * [`@rapidsai/cuspatial`](https://github.com/rapidsai/node/tree/main/modules/cuspatial) - [RAPIDS Accelerated GIS Library](https://github.com/rapidsai/cuspatial) `node-rapids` includes limited bindings to other necessary native APIs: * [`@rapidsai/cuda`](https://github.com/rapidsai/node/tree/main/modules/cuda) - Interact with GPUs via the [CUDA Runtime APIs](https://developer.nvidia.com/cuda-toolkit) * [`@rapidsai/glfw`](https://github.com/rapidsai/node/tree/main/modules/glfw) - Create platform-agnostic native windows with OpenGL contexts via [GLFW](https://github.com/glfw/glfw) * [`@rapidsai/webgl`](https://github.com/rapidsai/node/tree/main/modules/webgl) - Provides a [`WebGL2RenderingContext`](https://developer.mozilla.org/en-US/docs/Web/API/WebGL2RenderingContext) via [OpenGL ES](https://www.khronos.org/opengles) `node-rapids` uses the ABI-stable [`N-API`](https://nodejs.org/api/n-api.html) via [`node-addon-api`](https://github.com/nodejs/node-addon-api), so the libraries work in node and Electron without recompiling. See the [API docs](https://rapidsai.github.io/node/) for detailed information about each module. ## Getting started Due to native dependency distribution complexity, pre-packaged builds of the `node-rapids` modules are presently only available via our [public docker images](https://github.com/orgs/rapidsai/packages/container/package/node). See [USAGE.md](https://github.com/rapidsai/node/tree/main/USAGE.md) for more details. ## Getting involved See [DEVELOP.md](https://github.com/rapidsai/node/blob/main/DEVELOP.md) for details on setting up a local dev environment and building the code. We want your input! Join us in the [#node-rapids channel](https://rapids-goai.slack.com/archives/C0237JMVBRS) in the [RAPIDS-GoAI Slack workspace](https://rapids-goai.slack.com). ## Tracking Progress You can review [BINDINGS.md](https://github.com/rapidsai/node/blob/main/BINDINGS.md) to see which bindings have been completed for each of the RAPIDS libraries. ## Demos Check out our [demos](https://github.com/rapidsai/node/tree/main/modules/demo) to see various visualization and compute capabilities: * [Library of deck.gl demos in OpenGL](https://github.com/rapidsai/node/tree/main/modules/demo/deck/) * [Cross filtering millions of rows with cuDF](https://github.com/rapidsai/node/tree/main/modules/demo/client-server) * [Simulating & rendering with cuGraph](https://github.com/rapidsai/node/tree/main/modules/demo/graph/) * [Querying millions of points with cuSpatial](https://github.com/rapidsai/node/tree/main/modules/demo/spatial/) ## License This work is licensed under the [Apache-2.0 license](https://github.com/rapidsai/node/tree/main/LICENSE). --- --- _Source: https://npm.io/package/@rapidsai/core · Machine-readable twin of the npm.io package page. Health data is recomputed on every publish._