generated: '2026-07-19' method: searched source: https://github.com/heavyai notes: >- First-party HEAVY.AI client libraries and drivers. The Python (heavyai) and JavaScript (@heavyai/connector) clients were verified directly on their public registries (PyPI / npm registry JSON); both are published from the github.com/heavyai organization under Apache-2.0. JDBC and ODBC drivers are documented first-party interfaces distributed with the platform / release downloads rather than a public package registry, so they are recorded from the docs. packages: - language: python registry: pypi name: heavyai url: https://pypi.org/project/heavyai/ install: pip install heavyai version: '1.3' license: Apache-2.0 source: https://github.com/heavyai/heavyai official: true description: >- Python data-science client for HeavyDB (successor to pymapd/pyomnisci); DBAPI + Apache Arrow support with CPU/GPU dataframe results. Also on conda-forge (conda install -c conda-forge heavyai). - language: javascript registry: npm name: '@heavyai/connector' url: https://www.npmjs.com/package/@heavyai/connector install: npm install @heavyai/connector version: 7.0.0 license: Apache-2.0 source: https://github.com/heavyai/heavyai-connector official: true description: JavaScript/TypeScript connector to HeavyDB (Thrift over HTTP/HTTPS). - language: java registry: docs name: HeavyDB JDBC driver url: https://docs.nvidia.com/heavyai/apis-and-interfaces/jdbc official: true description: >- First-party JDBC driver for HeavyDB, distributed with the platform install; also usable from RJDBC and SQL clients such as SQuirreL SQL. - language: c registry: docs name: HeavyDB ODBC driver url: https://docs.nvidia.com/heavyai/apis-and-interfaces/odbc official: true description: First-party ODBC driver for HeavyDB (enterprise edition). - language: javascript registry: github name: heavyai-crossfilter url: https://github.com/heavyai/heavyai-crossfilter official: true source: https://github.com/heavyai/heavyai-crossfilter description: >- Browser library for exploring large multivariate datasets against HeavyDB (part of the Immerse charting stack). Distributed from GitHub (not on a public scoped npm package as of this pass). - language: javascript registry: github name: heavyai-charting url: https://github.com/heavyai/heavyai-charting official: true source: https://github.com/heavyai/heavyai-charting description: Dimensional charting library (d3.js + crossfilter) for HeavyDB.