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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

daily_stock_analysis

Language-model stock analysis system combining market data, news, dashboards, and automated notifications.

Popularity
Repository stars71667,453Highest
7-day net stars——
Fork4255,857Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-10-242026-11-02
Maintenance notesNot verifiedUnknown
Repository created2024-05-202026-01-10
License & use
LicenseApache-2.0 · PermissiveMIT · Permissive
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeBusiness systemsAI & agents · Business systems
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 RLanguage-model stock analysis system combining market data, news, dashboards, and automated notifications.
Measured at2026-11-03 08:23 UTC2026-11-02 19:26 UTC

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