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perpetual

Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R

OpenBB

Data platform for analysts, quantitative researchers, and AI agents.

Popularity
Repository stars71675,031Highest
7-day net stars——
Fork427,842Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-242026-11-02
Maintenance notesNot verifiedUnknown
Repository created2024-05-202020-12-20
License & use
LicenseApache-2.0 · PermissiveLicense not declared
License sourceLicense source—
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeBusiness systemsBusiness systems · Databases & data
TypeApps & systemsApps & systems
SubcategoryBusiness managementBusiness management
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Verify software, hosting, model and infrastructure costs against the current official documentation.
Pricing source——
First collected2026-11-032026-11-02
MetricRepository stars, not unique users or individual-skill installsRepository Stars, not unique users
LanguageRustPython
About this projectPerpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and RData platform for analysts, quantitative researchers, and AI agents.
Measured at2026-11-03 08:23 UTC2026-11-02 19:22 UTC

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