What
Enhance the info tool to optionally render a visual dashboard of session state using UnicodePlots — bar charts for variable sizes, sparklines for evaluation timing history, a summary view of all sessions.
Why
The current info() output is plain text. When working with multiple sessions, large datasets, or long-running analyses, a visual overview helps you understand what's going on at a glance — memory pressure, which session has the most state, how eval times are trending.
Ideas
Variable size bar chart
Variables in session 'default':
df DataFrame ████████████████████ 4.2 MB
model Chain ██████████ 2.1 MB
x Vector ██ 0.4 MB
result Float64 ▏ 8 B
Multi-session overview
Sessions:
default ████████ worker 2 (3 vars, 6.7 MB, Revise ✓)
test ███ worker 3 (1 var, 0.4 MB, no Revise)
bench ██ worker 4 (2 vars, 0.2 MB, Revise ✓)
Eval timing sparkline
Recent eval times: ▁▂▁▁▃▇▁▁▂▁ (last 10 evals, max 2.3s)
Implementation notes
- UnicodePlots would be an optional dependency — if not installed, fall back to plain text
- The
info tool already gathers variable info with types and sizes (get_worker_info)
- Could add a
format="visual" parameter to info(), or auto-detect when UnicodePlots is available
- Timing history would need a small ring buffer added to SessionState
What
Enhance the
infotool to optionally render a visual dashboard of session state using UnicodePlots — bar charts for variable sizes, sparklines for evaluation timing history, a summary view of all sessions.Why
The current
info()output is plain text. When working with multiple sessions, large datasets, or long-running analyses, a visual overview helps you understand what's going on at a glance — memory pressure, which session has the most state, how eval times are trending.Ideas
Variable size bar chart
Multi-session overview
Eval timing sparkline
Implementation notes
infotool already gathers variable info with types and sizes (get_worker_info)format="visual"parameter toinfo(), or auto-detect when UnicodePlots is available