wattop
A btop-style terminal power monitor: power in, power out, volts and amps, next to the processor and memory load that explains them, plus whatever per-rail SoC power the machine is willing to tell you about.
No administrator rights, no kernel driver, no signed helper — on any platform. That is the part worth leading with. Every Windows tool that reports CPU power today goes through a ring-0 driver, and the one they nearly all use now carries a published vulnerability and is a Defender signature. wattop reads a performance counter and a device IOCTL, both as a normal user, at about 0.1 ms a sample.
It exists because of a gap on Windows specifically. Mainline btop on Linux does show battery and
CPU watts, and does it well; btop4win does not, because the watts code path was never ported —
it reads GetSystemPowerStatus(), which gives percent and time remaining and nothing else. bottom
shows battery watts on all three platforms but no volts, no amps, and no per-rail power. Neither has
a plugin system, so there is no way to add a sensor short of recompiling.
Windows on ARM is the sharpest case: Snapdragon laptops expose measured board-level power rails that nothing else reads, and the tools people reach for either do not build for ARM64 or report no power at all there.
Prior art worth knowing about, because wattop is not first and does not claim to be. On macOS, jolt, macmon and mactop are all good, native, and better than wattop will be there. On Linux, s-tui has graphed CPU watts for years. What none of them do is Windows, and none of them graph a measured charger-input rail. See Where wattop fits.
╭─ OUT System ────────────────────────────────────────────────────────╮
│ 60.0 │
│ │
│ │
│ ⢀⣀⣠⣤⣶⣶⣤⣤⣀⣀ ⢀⣀⣤⣤⣴⣶⣤⣤⣤⣀⡀ ⢀⣠⣤⣤⣴⣴⣤⣤⣄⡀ │
│ ⢀⣠⣴⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣦⣤⣀⣀⣀⣀⢀⣀⣠⣤⣶⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣶⣦⣤⣤⣤⣤⣴⣶⣶⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣶│
│ ⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
│ 0.0 ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
╰───────────────────────────────────────────────── 22.93 W ████░░░░░░ ─╯
╭─ BATT Battery ──────────────────────────────────────────────────────╮
│ 25.0 ⢀⣀ ⢀ │
│ ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣾⣷⣶⣷⣶⣶⣶⣴⣶⣤⣤⣤⣤⣄⣠⣀⣀⣀⢀⣀ │
│ ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣾⣶⣶⣤⣤⣤⣄⣀⡀⡀⡀ │
│ ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣷⣶⣦⣴⣤⣄⣀ │
│ ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣾⣶⣤⣤⣀⣀⣀ │
│ ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
│ 0.0 ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
╰───────────────────────────────────────────────── +7.59 W ███░░░░░░░ ─╯
╭─ CPU Processor ─────────────────────────────────────────────────────╮
│ 100.0 ⣀⣠⣤⣀⡀ ⣀⣠⣄⣀⡀ ⣀⣠⣤⣀⡀ │
│ ⢀⣴⣾⣿⣿⣿⣿⣿⣶⣄ ⢀⣴⣾⣿⣿⣿⣿⣿⣶⣄ ⢀⣴⣾⣿⣿⣿⣿⣿⣶⣄ │
│ ⣀⣴⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣄⡀ ⣠⣴⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣦⡀ ⣠⣶⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣷⣄│
│ ⢀⣤⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣦⣄⣀ ⢀⣀⣤⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣶⣦⣤⣤⣤⣴⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
│ 0.0 ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
╰──────────────────────────────────────────────────── 47 % █████░░░░░ ─╯
╭─ MEM In use ────────────────────────────────────────────────────────╮
│ 15.6 │
│ ⣀⣀⣀⡀ ⢀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣠⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤│
│ ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
│ ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
│ 0.0 ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
╰──────────────────────────────────────────────── 11.01 GB ███████░░░ ─╯
╭─ IN Charger in ─────────────────────────────────────────────────────╮
│ 60.0 ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
│ ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
│ 0.0 ⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
╰───────────────────────────────────────────────── 59.45 W ██████████ ─╯
╭─ TEMP Hottest sensor ───────────────────────────────────────────────╮
│ 100.0 │
│ ⣀⣀⣀⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣄⣀⣀⣀⣀⣀⣤⣤⣤⣤⣤⣤⣤⣤⣶⣶⣶⣦⣶⣦⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣤⣶⣤⣤⣤⣤⣤│
│ 40.0 ⣶⣶⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿│
╰─────────────────────────────────────────────── 69.3 degC █████░░░░░ ─╯
Voltage 8.630 V Current +5.220 A ██████████████░░░░ 78.6% 49.4/62.9 Wh charging
Six graphs, three rows, in the order they earn: OUT and BATT are the two that actually move,
so they take the top row at 30% of the window each. CPU and MEM sit under them at 22%, since
what the machine is doing is the explanation for what it is drawing and the two want reading
together. IN and TEMP get 16% on the bottom row — the charger rail sits at its ceiling most
of the time and the hottest sensor moves slowly, so both are read as a number more often than as a
shape. Retune per role in config.toml:
[graphs]
power_out = 0.3
battery_power = 0.3
cpu = 0.2
memory = 0.2
--graph-height N pins every graph instead.
The panel of per-rail power and per-zone temperatures under the graphs starts closed. Press s to
open it, --details to start a run with it open, or set show_details = true in config.toml to
make that the default. Closed is the default because on most machines those rows are a screenful of
numbers that rarely move, and they are rows the graphs wanted; the one thing they were read for at a
glance already survives as TEMP. Either way the channels are always sampled and always reach
--list, --once, --json and --log. If per-rail SoC power is the reason you are here, turn it
on and leave it on.
Every power graph is floored at zero on a fixed axis, so bar height means watts and one frame is comparable to the last. OUT and BATT sit on a two-rung ladder: 0-25 W by default, which is where the machine spends most of its life and where a single tall axis would squash everything into the bottom third, and 0-60 W for as long as the window on screen holds a sample above 25 W. Each picks its own rung from its own window, so a burst on one leaves the other where it was, and once the burst scrolls off the axis drops back. IN keeps the ceiling its rail declares, and CPU and MEM keep theirs: there is nothing above 100% of a processor and nothing above the RAM the machine has, so both axes are the real limit rather than a guess, and the memory graph prints the installed total as its top label. TEMP is the one graph that does not start at zero -- it runs a fixed 40-100 degC, since the hottest sensor in a running machine never approaches zero and silicon throttles just under 100, so the panel height is all live range and doubles as "how close to too hot". Both bounds are printed on the axis, so what you are looking at is never ambiguous.
BATT plots magnitude — how hard the battery is working — and lets colour carry the direction:
amber discharging, green charging. Pin any ceiling you would rather set yourself with
[overrides."<key>"] nominal_max, and the ladder steps aside.
What it can read
Windows on a Snapdragon X Elite — this is the good case. Windows surfaces the platform's EMI (Energy Meter Interface) channels as ordinary performance counters, so the charger input rail is measured, not inferred:
| Channel | Source |
|---|---|
emi.PSU_USB |
power in, from the USB-C charger |
emi.SYS |
system rail |
emi.USBC_TOTAL, emi.CPU_CLUSTER_0..2, emi.GPU |
per-rail SoC power |
batt.power / .voltage / .current / .charge / .level / .temp / .cycles |
the battery device, via IOCTL_BATTERY_QUERY_STATUS |
batt.eta.avg |
time left, from battery watts averaged over a growing window |
cpu.util |
% Processor Time off the Processor Information counterset |
mem.used / mem.total |
physical memory, from GlobalMemoryStatusEx |
Battery Rate is signed, so discharging falls out of the sign and current is a real division rather
than an estimate. Everything works without administrator rights and costs about 0.1 ms a sample.
CPU is the not-idle fraction, the same thing btop counts and the same thing /proc/stat gives on
Linux. Windows also offers % Processor Utility, which scales that by the frequency actually
delivered -- it is what Task Manager shows, and it tracks the OUT graph more closely, because a
core parked at its lowest clock and never quite idle is 100% busy and a couple of watts. Measured on
this laptop, idling at about a third of nominal, Utility reads about a third of Time for the same
work. wattop shows Time anyway: a CPU number that disagrees three-to-one with every other load meter
on the machine costs more than the tighter correlation buys.
The one reading wattop computes rather than reads is time left. Windows will hand you a
BatteryEstimatedTime, but it is derived from the instantaneous rate, and an idle machine breathing
between 15 and 25 W makes that estimate swing by the better part of an hour from one second to the
next -- measured here, 55 minutes of swing across 45 seconds of sitting still. So batt.eta.avg
averages the watts over a window that grows to five minutes from the last plug/unplug and rolls
after that, and divides once. Averaging the rate rather than the estimate is the point: time left is
hyperbolic in power, so a single near-idle sample is an absurd ETA but an unremarkable watt figure.
The same average against the charging rate gives a time to full, which Windows does not offer at
all. Set eta_window in config.toml to trade steadiness against how fast it notices a new load.
Linux — /sys/class/hwmon is walked and everything found is exposed, so the headline number on
an AMD APU is power1_average from the amdgpu node (package power, the same PPT figure ryzenadj
reports, no root needed). RAPL via powercap is picked up when readable, and laptops additionally get
/sys/class/power_supply. CPU and memory come from /proc/stat and /proc/meminfo under the
same two keys the Windows pair uses, so the dashboard is the same screen on both.
Be aware of what a Ryzen AI Max+ 395 desktop cannot give you: no voltage or current anywhere
(Zen 5 uses SVI3 and no in-tree driver reads it), and no true "power in" (a desktop has no charger
rail, and the Framework EC exposes no PSU wattage). For real wall power there, point the
http_json source at a smart plug — see below.
Where wattop fits
| Windows | Linux | macOS | |
|---|---|---|---|
| btop | no build | battery + CPU watts | no watts |
| btop4win | percent only, no watts | — | — |
| bottom | battery watts, one static row | same | same |
| jolt | not supported | yes | best in class |
| macmon / mactop | — | — | yes |
| s-tui | — | CPU watts, graphed | — |
| wattop | measured rails + battery, no admin, including ARM64 | hwmon / powercap / sysfs | not supported |
So the honest claim is not "the first power monitor in a terminal". It is four narrower things:
- Measured, not estimated. The common fallback elsewhere is CPU percent multiplied by the chip's rated power. wattop reads a hardware shunt, or shows nothing.
- Power in, not just power out. The charger rail is a measured reading, so
[[derived]] expr = "emi.PSU_USB - emi.SYS - batt.power"gives you charger loss. - Volts and amps, which nothing else currently graphs in a terminal.
- No admin, no driver, anywhere.
macOS is not supported. wattop runs there and exits cleanly saying it found no sensors. Adding it would mean a fifth entrant into the one platform that is already well served; the tools above are native code and sudoless and get it right. Use one of those.
Install
$ uvx wattop # run it without installing anything
$ uv tool install wattop # or keep it on PATH
uv installs its own Python, so this works on a machine with none. If
you would rather use what you have, pipx install wattop and pip install wattop both work; wattop
needs Python 3.11 or newer.
There is one wheel and it is py3-none-any — the same file serves Windows x64 and ARM64, Linux
x86-64 and aarch64, with no compiled extension anywhere.
Optional: wattop[parquet] logs to Parquet instead of CSV. It has no Windows ARM64 wheel, so on a
Snapdragon machine stick to CSV.
From source
$ git clone https://github.com/sravanpannala/wattop && cd wattop
$ uv sync && uv run wattop
On Windows ARM64, pin the native interpreter explicitly — uv itself is an x86_64 build and will
otherwise hand you an emulated Python:
$ uv venv --python cpython-3.12-windows-aarch64
$ uv sync
Usage
$ wattop # the live dashboard
$ wattop --list # every channel discovered, with its group and role
$ wattop --once # one snapshot, then exit
$ wattop --once --json # ... as JSON, for a script or an OSD
$ wattop --json -n 60 # a stream of JSON lines
$ wattop --log power.csv # append samples to CSV (or .parquet with the extra)
$ wattop --details # start with the per-rail sensor panels open
$ wattop -i 0.25 # faster sampling
In the TUI: q quit, p pause, s show or hide the per-rail and per-zone sensor panels,
+/- change the interval.
--once takes about two seconds on Windows, nearly all of it waiting for the performance counters to
advance — a rate counter yields nothing until a second sample exists, and that is the data source's
floor, not Python's. Fine for a script or a log; too slow for a shell prompt that runs it every
command.
--log writes its header from the channels discovered at startup and skips it when the file
already has one, so start a new file rather than appending to a log written before a machine
grew a sensor -- the new columns land in the middle of the row, not at the end.
Adding a reading
The UI never names a sensor. It lays out by group (in, out, battery, system, rails,
thermal) and headlines whatever fills each role (power_in, power_out, battery_power,
battery_voltage, battery_current, battery_charge, battery_level, battery_eta, ac_online,
temperature, cpu, memory). So a new reading only ever needs to declare where it belongs, and
the display follows. rails and thermal are sampled but not drawn, so anything you want on
screen wants one of the other groups or a role -- including a rail you miss, which
[overrides."emi.GPU"] group = "other" puts back.
That makes adding one come in three sizes.
1. Nothing. A new instance of an already-wrapped source is discovered on its own — another
Energy Meter rail after a firmware update, another hwmon node after a kernel bump.
2. A config stanza. Copy config.example.toml to config.toml (or
~/.config/wattop/config.toml, or %APPDATA%\wattop\config.toml):
[[sensor]]
source = "http_json" # a Tasmota smart plug: real wall watts
url = "http://plug.lan/cm?cmnd=Status%2010"
pointer = "/StatusSNS/ENERGY/Power"
key = "wall"; label = "Wall"; unit = "W"; group = "in"; role = "power_in"
[[derived]]
key = "efficiency"; label = "Charger loss"; unit = "W"; group = "other"
expr = "emi.PSU_USB - emi.SYS - batt.power"
Generic sources: sysfs (a number in a file), exec (a command), http_json (an endpoint),
pdh (any Windows performance counter, wildcards included). [[derived]] computes channels from
other channels; [overrides."key"] relabels or regroups a built-in one.
3. A new file in wattop/sources/. Only needed for a genuinely new OS API. Implement four
methods, add @register, and change nothing else:
@register
class MySource:
name = "my_source"
def available(self) -> bool: ... # cheap probe; False means "skip me quietly"
def channels(self) -> list[Channel]: ...
def read(self) -> dict[str, float]: ...
def close(self) -> None: ...
A source that fails to construct, discover or read is logged and skipped — a broken sensor never
costs you the rest of the dashboard. Run with --debug to see what declined and why.
Layout
wattop/core/ Channel + Source protocol, registry, sampler, config, derived expressions
wattop/sources/ win_energy_meter, win_battery, win_thermal, win_system,
linux_hwmon, linux_powercap, linux_power_supply, linux_system,
generic (sysfs/exec/http_json/pdh)
wattop/ui/ the Textual dashboard
wattop/render.py sparklines, bars, the text tables used by --list and --once
Licence
Apache-2.0. See LICENSE.
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