ashvardanian / NumKong
SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Purpose and fit
Author description: SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐
Basic listing based on official public information; functionality has not been independently evaluated.
Sources: official source 1 · official source 2. Based on public basic information; not an in-depth evaluation.
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- Platform
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- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
Star trend (estimated)
Includes estimates from GitHub star history, excluded from net-growth rankings. Removed stars are absent and day boundaries are not guaranteed UTC; estimates are not historical end-of-day net totals.Repository info
Repository stars, not unique users or individual-skill installs
- Type
- Apps & systems
- Subcategory
- General
- Platform
- Not verified
- First collected
- 2026-11-03
- Language
- C
- License
- Apache-2.0 · Permissive
- Repository created
- 2023-03-14
- Last push
- 2026-10-31
- Measured at
- 2026-11-03 08:22 UTC
- Pricing
- Pricing not verified
- Cost details
- Check current official software, hosting, model and infrastructure pricing.
- Maintenance notes
- Not verified
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.
Tags
Historical observations
Raw observations below are not daily gains.
| Measured at | stars | Source |
|---|---|---|
| 2026-11-03 08:22:49 UTC | 1,905 | Source |