Qlib
github.comOrganize machine-learning experiments for quantitative investment research
Organize machine-learning experiments for quantitative investment research
Explore crypto derivatives and purchase selected historical datasets
Control Kubernetes canary and blue-green releases with staged traffic shifts and promotion or rollback rules.
Build trading tools and examine cBot behaviour on historical data
Research and backtest quantitative strategies in notebooks and code
Explore investment baskets while keeping holdings with your broker
Social competitor benchmarks, content themes and exportable reporting
Study an exploratory Python engine for historical equities tests
Company goals, progress updates and meetings in a shared workspace
Commerce retention journeys with explicit pause and version-transition choices
Build formula screens and examine their historical matches
Performance reviews connected to goals, calibration and development plans
Browser extension that searches web pages and PDFs with natural language and AI.
Multimodal lakehouse for AI data curation, feature engineering, and search
Compare ETF peers and bring structured fund data into research systems
Calculates a Semantic Version from Git history and configurable branch rules.
Retail typefaces and bespoke type systems for brand identities.
Choose Indian stock screens, options tools and chart workspaces
Coordinate small-business SEO planning and proposed site changes through Kit.
Goal-linked meeting preparation and follow-up for managers
Define a relevant keyword set and compare its visibility, rankings and technical context.
AI agents for everyday search, academic work, and professional drafts.
Browser-processed shortcuts that send searches to a chosen destination
Search text interactively with reusable patterns