This prometheus exports all of your AIDA64 data to a Prometheus server so you can chart all of them using Grafana: https://grafana.com/grafana/dashboards/11339

aida64_prometheus_exporter.py

import re
import mmap
import typing
import hashlib
import logging
import argparse
import datetime
import ipaddress
import dataclasses
import xml.etree.cElementTree as ET

import prometheus_client
from prometheus_client import core
from prometheus_client import exposition


PREFIX = 'aida'
IGNORED_IDS = {'sdate', 'stime', 'stimens', 'suptimens', 'smemspeed',
               'sgpu1bustyp', 'sgpu1perfcap', 'sgpu2bustyp', 'sgpu2perfcap'}

ID_LABEL_REWRITES = [
    (re.compile(r'^(t)([a-z]+)$'), r'temp-\2', ['type']),
    (re.compile(r'^(vdimm)(\w+)$'), r'\1-\2', ['bank']),
    (re.compile(r'^(snic)(\d+)(tot)(\w+)$'), r'\1\3-\2-\4',
     ['nic',  'direction']),
    (re.compile(r'^(snic)(\d+)(\w+)(rate)$'), r'\1\4-\2-\3',
     ['nic',  'direction']),
    (re.compile(r'^(snic)(\d+)(connspd)$'), r'\1\3-\2', ['nic']),
    (re.compile(r'^(scpu)(\d+)(\w+)$'), r'\1c\3-\2', ['core']),
    (re.compile(r'^(tcc|scc)'), r'\1', ['cpu', 'core']),
    (re.compile(r'^(sdsk)(\d+)(\w+)$'), r'\1-\2-\3', ['disk', 'type']),
    (re.compile(r'^(tpcie)(\d+)$'), r'\1-\2', ['slot']),
    (re.compile(r'^t(temp)(\d+)$'), r'\1-\2', ['sensor']),
    (re.compile(r'^(thdd)(\d+)(ts)(\d+)$'), r'\1\3-\2-\4', ['disk', 'sensor']),
    (re.compile(r'^(thdd)(\d+)$'), r'\1-\2', ['disk']),
    (re.compile(r'^(fcha)(\d+)$'), r'\1-\2', ['fan']),
    (re.compile(r'^s(\w*mem)(uti)$'), r'mem\2-\1', ['type']),
    (re.compile(r'^s(\w*mem)$'), r'mem-\1', ['type']),
    (re.compile(r'^(sdrv)(\w+)(free|used)(spc)$'),
     r'\1\4-\2-\3', ['drive', 'type']),
    (re.compile(r'^(sdrv)(\w+)(spc|uti)$'),
     r'\1\3-\2', ['drive', 'type']),
    # (re.compile(r'^(sgpu)(\d)(\w+)(uti)$'),
    #  r'\1\4-\2-\3', ['gpu', 'type']),
    (re.compile(r'^([stfdvp]gpu)(\d+)(\w*?)(uti|)$'), r'\1\4-\2-\3', ['gpu',
                                                                 'type']),
    (re.compile(r'^(f)(\w+)$'), r'fan-\2', ['type']),
    (re.compile(r'^(v)(\w+)$'), r'volt-\2', ['type']),
    (re.compile(r'^(p)(\w+)$'), r'pwr-\2', ['type']),
    (re.compile(r'^(s)(\w+)clk$'), r'clk-\2', ['type']),
]


@dataclasses.dataclass
class Measurement:
    # Nearly all metrics are gauges but some special ones are better suited
    # as counter or histograms
    MetricFamily = core.GaugeMetricFamily

    group: str
    id_: id
    documentation: str
    raw_value: str
    values: typing.List[float] = dataclasses.field(default_factory=list)
    labels: typing.List[str] = dataclasses.field(default_factory=list)
    label_values: typing.List[typing.List[str]] = dataclasses.field(
        default_factory=list)

    @classmethod
    def from_element(cls, elem):
        group = elem.tag
        id_ = elem.find('id').text.lower()
        documentation = elem.find('label').text
        raw_value = elem.find('value').text
        return Measurement(group=group, id_=id_,
                           documentation=documentation, raw_value=raw_value)

    def __post_init__(self):
        # Try to break early if this id is ignored
        if self.id_ in IGNORED_IDS:
            return

        for search, replace, labels in ID_LABEL_REWRITES:
            self.id_, changes = search.subn(replace, self.id_)
            if not changes:
                continue

            self.id_, *label_values = self.id_.split('-')
            self.label_values = [label_values + [self.documentation]]
            self.labels = labels + ['documentation']

        # Parse values if `self.parse_{id_}` is available and falls back to
        # `self.parse` alternatively
        parser_name = 'parse_' + self.id_.split('-')[0]
        parser = getattr(self, parser_name, self.parse)
        logging.debug('Parsing %r using %r', self, parser)
        parser()

    @property
    def key(self):
        key = '_'.join((PREFIX, self.group, self.id_))
        key_parts = []
        seen = set()
        for part in key.split('_'):
            if part in seen:
                continue
            else:
                key_parts.append(part)
                seen.add(part)

        return '_'.join(key_parts)

    def get_metric(self):
        return self.MetricFamily(self.key, self.documentation, labels=self.labels)

    def parse(self):
        try:
            self.values.append(float(self.raw_value))
        except (TypeError, ValueError):
            logging.warning('Incorrect value for %r', self)

    def parse_suptime(self):
        self.MetricFamily = core.CounterMetricFamily
        parts = self.raw_value.split()
        if parts[1:]:
            # days is in 123d format, this strips the `d`
            days = int(parts[0].rstrip('d'))
        else:
            days = 0

        hours, minutes, seconds = map(int, parts[-1].split(':'))

        uptime = datetime.timedelta(days=days, hours=hours, minutes=minutes,
                                    seconds=seconds)

        self.values.append(uptime.total_seconds())

    def parse_sdramfsb(self):
        numerator, denominator = map(int, self.raw_value.split(':'))
        self.values.append(numerator / denominator)

    def parse_smemtim(self):
        self.labels = ['CL', 'tRCD', 'tRP', 'tRAS', 'CMD']
        self.label_values = [re.split(r'[^\d]', self.raw_value)]

    def parse_sdeskres(self):
        self.labels = ['dimension']
        self.label_values = [['width'], ['height']]
        width, height = self.raw_value.split(' x ')
        self.values = [int(width), int(height)]

    def parse_ssmasta(self):
        if self.raw_value == 'OK':
            value = 0
        else:
            # Convert the smart status into a unique repeatable number
            value = int(hashlib.sha1(self.raw_value).hexdigest(), 16) % (2**31)
        self.values.append(value)

    def parse_sslista(self):
        if self.raw_value.lower() == 'disabled':
            self.values.append(0)
        else:
            self.values.append(1)

    def parse_spriipaddr(self):
        self.values.append(int(ipaddress.ip_address(self.raw_value)))

    parse_sextipaddr = parse_spriipaddr

    # Uses strings instead of numbers in many cases
    def parse_sbatt(self):
        if self.raw_value.lower().isdigit():
            self.values.append(int(self.raw_value))


class AidaCollector:

    def __init__(self, address='AIDA64_SensorValues'):
        self.length = None
        self.address = address

    def read(self):
        # Make sure to only run the idiocy below once
        if self.length:
            data = mmap.mmap(0, self.length, self.address).read()
        else:
            # Don't ask... bloody Windows gives permission denied if you read
            # beyond the mmap size but doesn't give a method to find out how
            # large it is
            for length in range(32768, 0, -1024):
                try:
                    self.length = length
                    data = mmap.mmap(0, self.length, self.address).read()
                    break
                except OSError as e:
                    pass

        return data.strip(b'\x00')

    def collect(self):
        metrics = dict()
        for element in ET.fromstring('<root>%s</root>' % self.read()):
            measurement = Measurement.from_element(element)

            if measurement.id_ in IGNORED_IDS:
                logging.debug('Ignoring %s', measurement)
                continue

            if not measurement.values:
                continue

            if measurement.key not in metrics:
                metrics[measurement.key] = measurement.get_metric()

            logging.info(measurement)

            if measurement.labels:
                for label_values, value in zip(measurement.label_values,
                                               measurement.values):
                    metrics[measurement.key].add_metric(label_values, value)
            else:
                for value in measurement.values:
                    metrics[measurement.key].add_metric([], value)

        yield from metrics.values()


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument('-v', '--verbose', action='count', default=0)
    parser.add_argument('-q', '--quiet', action='count', default=0)
    parser.add_argument('-p', '--port', type=int, default=9091)
    args = parser.parse_args()

    verbosity = args.verbose - args.quiet
    if verbosity > 1:
        level = logging.DEBUG
    elif verbosity == 0:
        level = logging.INFO
    elif verbosity == -1:
        level = logging.WARNING
    else:
        level = logging.ERROR

    logging.basicConfig(level=level)

    registry = prometheus_client.CollectorRegistry()
    registry.register(AidaCollector())

    if level:
        exposition.generate_latest(registry)

    MetricsHandler = prometheus_client.MetricsHandler.factory(registry)
    httpd = exposition.ThreadingWSGIServer(('', args.port), MetricsHandler)
    httpd.serve_forever()


if __name__ == '__main__':
    main()

disk_activity_panel.json

{
  "aliasColors": {},
  "bars": false,
  "dashLength": 10,
  "dashes": false,
  "datasource": "Prometheus",
  "fill": 0,
  "fillGradient": 0,
  "gridPos": {
    "h": 9,
    "w": 12,
    "x": 12,
    "y": 27
  },
  "id": 8,
  "legend": {
    "alignAsTable": true,
    "avg": false,
    "current": false,
    "max": false,
    "min": false,
    "rightSide": true,
    "show": true,
    "total": false,
    "values": false
  },
  "lines": true,
  "linewidth": 1,
  "nullPointMode": "null",
  "options": {
    "dataLinks": []
  },
  "percentage": false,
  "pointradius": 2,
  "points": false,
  "renderer": "flot",
  "seriesOverrides": [
    {
      "alias": "/Activity$/",
      "yaxis": 2
    }
  ],
  "spaceLength": 10,
  "stack": false,
  "steppedLine": false,
  "targets": [
    {
      "expr": "aida_sys_sdsk{instance=~\"$instance\"}",
      "legendFormat": "{{instance}} {{documentation}}",
      "refId": "A"
    }
  ],
  "thresholds": [],
  "timeFrom": null,
  "timeRegions": [],
  "timeShift": null,
  "title": "Disk Activity",
  "tooltip": {
    "shared": true,
    "sort": 0,
    "value_type": "individual"
  },
  "type": "graph",
  "xaxis": {
    "buckets": null,
    "mode": "time",
    "name": null,
    "show": true,
    "values": []
  },
  "yaxes": [
    {
      "format": "MBs",
      "label": "",
      "logBase": 1,
      "max": null,
      "min": null,
      "show": true
    },
    {
      "format": "percent",
      "label": null,
      "logBase": 1,
      "max": "100",
      "min": "0",
      "show": true
    }
  ],
  "yaxis": {
    "align": false,
    "alignLevel": null
  }
}

Thanxs for this!! This was excactly what i was looking for!

After hours to find out how to run prometheus on docker/windows, i got it running.
Maybe you want to put this into your discription how to get this running for people like me, which never touched prometheus.

create a prometheus.yml somewhere on your disk
change the ip:port that match to your system. For me, 127.0.0.1 did not work, so i used the ip of my system.

global:
  scrape_interval: 5s
  external_labels:
    monitor: 'local-monitor'

scrape_configs:
  - job_name: 'aida'
    static_configs:
      - targets: ['192.168.2.30:9091']

then open command promt with wsl2/docker running
change the path c:\tmp\prometheus.yml to the path to your prom.yml

docker run -p 9090:9090 -v c:\tmp\prometheus.yml:/etc/prometheus/prometheus.yml --name=prometheus prom/prometheus --config.file=/etc/prometheus/prometheus.yml

Well... I think your write-up does a great job already :)

This exporter was meant to go together with Grafana using this dashboard: https://grafana.com/grafana/dashboards/11339
If you have Grafana running, you can probably get Prometheus running in a similar/easy way. If you're only running Prometheus right now, I suggest you add Grafana to the mix for pretty charts.

yes, thanks! The grafana Dashboard Website got me to this gist here. :)
thanks again!