macOS
Homebrewverified · 100%
brew install quantlibprovider-native install command
brew / rank 5193
Install quantlib with Homebrew
Library for quantitative finance. Version 1.43 via Homebrew; verified 2026-07-14.
install
Additional install commands
overview
Package summary
Library for quantitative finance
Project links
Commands and aliases
- quantlib-config
- quantlib-test-suite
security posture
Risk level: green
library-like package without higher-risk signals.
Risk classifier
green risk · low confidence · appliance
Why
- library-like package without higher-risk signals
Signals
- metadata:library-like
Install behavior
- No Homebrew bottle metadata was recorded.
Recommended review
Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.
executables
Installed executables
| Command | Kind | Exposure | Note |
|---|---|---|---|
quantlib-config | executable | indexed executable | Discovered from the local executable index. |
quantlib-test-suite | executable | indexed executable | Discovered from the local executable index. |
freshness
Version and freshness
These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.
page generated2026-08-03
manager version1.43
manager updated2026-07-14
local dataunknown
upstreamnot available
latest detectednot detected
- okNo freshness warnings were generated.
install metadata
Package metadata
| Package key | brew:quantlib |
|---|---|
| Version | 1.43 |
| Package manager | Homebrew |
| Homepage | https://www.quantlib.org/ |
| Repository | https://github.com/lballabio/quantlib |
| Last updated | 2026-07-14T10:40:12Z |
| Pulse | updated |
| Bottle | not recorded |
| Service | none declared |
source trail
Generated from repository data
This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.
Combined YAML source
View the package source record on GitHub.
Used sources
- Geiger risk classifier
- Nucleus package database
- pkgdb category and tag curation