Qlib
github.comOrganize machine-learning experiments for quantitative investment research
Organize machine-learning experiments for quantitative investment research
Edit source and configuration files directly in a terminal with a compact, keyboard-driven editor.
A terminal-native editor built around multiple selections, syntax-aware navigation, and language-server features.
Write text descriptions and render them as UML and other technical diagrams.
Project time and expense capture with approvals, budgeting, resource planning, and invoicing.
A C++ test framework for unit tests, behavior-driven cases, and basic micro-benchmarks.
Edit code on macOS with project search, multiple carets, bundles, and version-control actions.
A dynamic application security testing service that scans web applications for vulnerabilities and supports follow-up remediation.
Monitor network faults, performance, traffic, and alarms with OpenNMS's community-driven Horizon distribution.
A desktop UI-test IDE that records, replays and reports tests against mobile apps, desktop programs and games.
Schedules and signups for tabletop gaming events
Online festival films with event-specific rentals and invitations
Ingest operational metrics and events, detect anomalies, and connect alerts to service context and response workflows.
Functional UX prototypes with logic and data
Connect phone enquiries with marketing sources and inspect the conversations behind campaign results.
Store-connected shipping labels with pick lists and barcode-driven printing
Visual sales pipelines with activities and email context
A data-driven whiteboard where notes, diagrams, tables, and charts share one canvas.
Turn screen recordings into framed product videos with captions and editable zooms.
Connect marketing sources to calls, conversations and defined lead outcomes.
Profile-driven marketing flows with distinct pause and stop behavior
Build parameter-driven solid models with Python and retain their construction
Track project hours and invoice work with a self-hosted or hosted open-source time tracker.
Simulate website, API, and browser journeys from external locations to catch availability and performance failures.