Qlib
github.comOrganize machine-learning experiments for quantitative investment research
Organize machine-learning experiments for quantitative investment research
Connect financial data providers to Python and research applications
Usability and navigation research with local-language support
Prototype and website research with recruitment and reporting
UX research articles and training in live and self-paced formats
Task-based UX studies with built-in research metrics
Western Australian photographs with catalogue research and TIFF copy orders
Inspect business-profile categories and local competitors from a Chrome extension.
Compare a B2B SaaS brand's AI-search mentions and citations, then organize page-level follow-up work.
Participant recruitment for consumer and professional research
Convert research DICOM data into NIfTI with metadata sidecars
Research-oriented reading about artificial intelligence
Real-time crypto airdrop tracking dashboard with hand-written research and free calculators.
A programmable renderer for forward and inverse rendering research
License financial datasets for personal research or commercial products
Connect investment research with company events and portfolio tools
Give groups of users access to managed Jupyter notebook environments from one hub server.
Keyword research, backlink analysis and site audits, with free owner tools
Archive footage with technical filters and an assisted ordering process
Research methods spanning usability, diaries, fieldwork and interviews
Historical footage research with timecoded screeners and master requests
Human usability studies with assisted research analysis
Research, draft and inspect search-focused content with integrated SEO and AI-citation tools.
Investigate AI-answer visibility and carry the findings into broader marketing work.