Qlib
github.comOrganize machine-learning experiments for quantitative investment research
Organize machine-learning experiments for quantitative investment research
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
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
AI data analysis workspace with memory for documents and databases
Market research and trading software with charting, automation, and AI tools.
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.
Coordinate small-business SEO planning and proposed site changes through Kit.
Goal-linked meeting preparation and follow-up for managers
Marketing software and a managed service for planning, creating, and publishing content.
Visual AI workspace that applies analytical frameworks on an infinite canvas
AI platform plus human editors for multilingual content marketing
Connect product objectives, feature backlogs, prioritization, capacity, and roadmaps.
Analyze text collections quantitatively
Training analysis and a calendar for multiple endurance sports
Build and debug Ruby and Rails projects in a dedicated JetBrains IDE.
Collaborative AI workspace with repeatable marketing Flows