I built Aspara, a metrics tracker for machine learning experiments that doesn't choke on large runs. Aspara applies LTTB downsampling server-side, so charts render instantly even if you have 10M data points for a single run.

Zero setup locally. Remote-ready when your team grows. Live demo (no signup): https://prednext-aspara.hf.space/

Features: - Web dashboard + Terminal UI with Vim keybindings (great over SSH) - Tag-based organization for managing hundreds of runs - Simple logging API — init(), log(), finish()

Would love feedback on what matters next: image logging or log auditing?