NTPsec

time.achjoj.info

Report generated: Mon Jul 27 16:33:02 2026 UTC
Start Time: Sun Jul 26 14:09:02 2026 UTC
End Time: Mon Jul 27 16:33:02 2026 UTC
Report Period: 1.1 days

Local Clock Time/Frequency Offsets

local offset plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Time Offset -19.420 -11.091 -6.526 -0.273 4.137 6.793 12.003 10.663 17.885 3.353 -0.638 ms -6.087 20.73
Local Clock Frequency Offset 11.385 15.642 18.367 26.270 44.582 57.615 60.279 26.216 41.973 8.964 28.492 ppm 17.84 63.06

The time and frequency offsets between the ntpd calculated time and the local system clock. Showing frequency offset (red, in parts per million, scale on right) and the time offset (blue, in μs, scale on left). Quick changes in time offset will lead to larger frequency offsets.

These are fields 3 (time) and 4 (frequency) from the loopstats log file.



Local RMS Time Jitter

local jitter plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Time Jitter 0.002 0.369 0.971 2.040 4.234 5.400 8.155 3.263 5.031 1.068 2.269 ms 5.812 18.28

The RMS Jitter of the local clock offset. In other words, how fast the local clock offset is changing.

Lower is better. An ideal system would be a horizontal line at 0μs.

RMS jitter is field 5 in the loopstats log file.



Local RMS Frequency Jitter

local stability plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local RMS Frequency Jitter 0.0000 0.180 0.247 0.949 3.574 6.114 8.438 3.327 5.934 1.188 1.274 ppm 2.502 10.7

The RMS Frequency Jitter (aka wander) of the local clock's frequency. In other words, how fast the local clock changes frequency.

Lower is better. An ideal clock would be a horizontal line at 0ppm.

RMS Frequency Jitter is field 6 in the loopstats log file.



Local Clock Time Offset Histogram

local offset histogram plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Offset -19.420 -11.091 -6.526 -0.273 4.137 6.793 12.003 10.663 17.885 3.353 -0.638 ms -6.087 20.73

The clock offsets of the local clock as a histogram.

The Local Clock Offset is field 3 from the loopstats log file.



Local Temperatures

local temps plot

Local temperatures. These will be site-specific depending upon what temperature sensors you collect data from. Temperature changes affect the local clock crystal frequency and stability. The math of how temperature changes frequency is complex, and also depends on crystal aging. So there is no easy way to correct for it in software. This is the single most important component of frequency drift.

The Local Temperatures are from field 3 from the tempstats log file.



Local Frequency/Temp

local freq temps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 11.385 15.642 18.367 26.270 44.582 57.615 60.279 26.216 41.973 8.964 28.492 ppm 17.84 63.06
Temp /dev/sdb 33.000 34.000 35.000 35.000 38.000 39.000 39.000 3.000 5.000 1.040 35.437 °C
Temp LM0 16.000 20.000 21.000 23.000 24.000 25.000 26.000 3.000 5.000 1.230 22.691 °C
Temp LM1 15.000 19.000 19.000 22.000 23.000 24.000 24.000 4.000 5.000 1.281 21.569 °C
Temp LM2 50.000 53.000 53.000 54.000 55.000 55.000 55.000 2.000 2.000 0.636 53.637 °C
Temp LM3 22.500 22.500 23.000 24.500 73.000 73.500 73.500 50.000 51.000 23.853 42.707 °C
Temp LM4 22.500 22.500 23.000 24.500 73.000 73.500 73.500 50.000 51.000 23.853 42.730 °C

The frequency offsets and temperatures. Showing frequency offset (red, in parts per million, scale on right) and the temperatures.

These are field 4 (frequency) from the loopstats log file, and field 3 from the tempstats log file.



Local GPS

local gps plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
nSats 0.000 3.000 4.000 6.000 8.000 9.000 10.000 4.000 6.000 1.369 6.196 nSat 53.82 225.9
TDOP 0.670 0.720 0.790 1.410 5.340 14.700 99.990 4.550 13.980 8.099 2.613 8.917 107.1

Local GPS. The Time Dilution of Precision (TDOP) is plotted in blue. The number of visible satellites (nSat) is plotted in red.

TDOP is field 3, and nSats is field 4, from the gpsd log file. The gpsd log file is created by the ntploggps program.

TDOP is a dimensionless error factor. Smaller numbers are better. TDOP ranges from 1 (ideal), 2 to 5 (good), to greater than 20 (poor). Some GNSS receivers report TDOP less than one which is theoretically impossible.



Server Offsets

peer offsets plot

The offset of all refclocks and servers. This can be useful to see if offset changes are happening in a single clock or all clocks together.

Clock Offset is field 5 in the peerstats log file.



Server Offset 150.254.190.51

peer offset 150.254.190.51 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 150.254.190.51 -20.072 -18.015 -14.657 -3.959 2.600 164.874 165.019 17.258 182.890 21.811 -2.048 ms 2.517 32.13

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 153.19.250.123

peer offset 153.19.250.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 153.19.250.123 -25.718 -21.070 -16.487 -5.321 1.508 163.814 165.073 17.995 184.883 22.358 -3.482 ms 1.945 30.11

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 193.110.137.171

peer offset 193.110.137.171 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 193.110.137.171 -25.969 -19.361 -17.235 -5.046 2.200 163.910 164.016 19.434 183.271 22.396 -3.141 ms 1.98 29.65

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 194.146.251.100

peer offset 194.146.251.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.146.251.100 -25.307 -20.354 -16.824 -5.436 0.337 3.730 164.218 17.162 24.084 12.089 -5.583 ms 3.947 112.7

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 194.146.251.101

peer offset 194.146.251.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.146.251.101 -21.866 -19.112 -14.669 -5.136 1.370 6.723 164.575 16.039 25.835 12.209 -5.190 ms 4.263 111

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 194.29.130.252

peer offset 194.29.130.252 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 194.29.130.252 -19.293 -19.016 -15.148 -4.537 0.869 6.553 165.684 16.017 25.569 16.653 -4.245 ms 3.502 59.81

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 195.187.245.55

peer offset 195.187.245.55 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 195.187.245.55 -24.550 -20.065 -17.040 -5.269 0.881 163.725 165.995 17.921 183.789 19.329 -4.123 ms 2.546 42.28

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset 213.135.57.60

peer offset 213.135.57.60 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset 213.135.57.60 -20.172 -18.950 -13.984 -4.886 1.206 163.879 164.750 15.190 182.829 18.731 -3.473 ms 3.06 45.58

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Offset SHM(0)

peer offset SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Offset SHM(0) -11.030 -3.751 -0.434 9.099 25.122 197.585 215.673 25.556 201.336 39.006 17.364 ms 2.336 11.65

The offset of a server in seconds. This is useful to see how the measured offset is behaving.

The chart also plots offset±rtt, where rtt is the round trip time to the server. NTP can not really know the offset of a remote chimer, NTP computes it by subtracting rtt/2 from the offset. Plotting the offset±rtt reverses this calculation to more easily see the effects of rtt changes.

Closer to 0s is better. An ideal system would be a horizontal line at 0s. Typical 90% ranges may be: local LAN server 80µs; 90% ranges for WAN server may be 4ms and much larger.

Clock Offset is field 5 in the peerstats log file. The Round Trip Time (rtt) is field 6 in the peerstats log file.



Server Jitters

peer jitters plot

The RMS Jitter of all refclocks and servers. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 150.254.190.51

peer jitter 150.254.190.51 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 150.254.190.51 0.000 0.307 0.816 3.243 12.268 17.424 24.742 11.451 17.117 3.533 4.268 ms 2.611 10.44

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 153.19.250.123

peer jitter 153.19.250.123 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 153.19.250.123 0.000 0.210 0.942 3.064 12.845 17.860 31.204 11.903 17.649 4.216 4.376 ms 3.105 16.23

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 193.110.137.171

peer jitter 193.110.137.171 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 193.110.137.171 0.000 0.144 0.736 3.004 13.701 20.239 25.275 12.965 20.094 4.381 4.696 ms 1.872 6.485

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 194.146.251.100

peer jitter 194.146.251.100 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.146.251.100 0.000 0.292 0.952 3.198 14.248 19.271 29.537 13.296 18.979 4.334 4.657 ms 2.575 10.93

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 194.146.251.101

peer jitter 194.146.251.101 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.146.251.101 0.000 0.116 0.715 3.334 12.765 16.231 22.454 12.051 16.115 3.701 4.281 ms 2.276 8.056

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 194.29.130.252

peer jitter 194.29.130.252 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 194.29.130.252 0.000 0.338 1.002 3.008 11.661 14.434 16.158 10.659 14.097 3.252 4.086 ms 2.324 6.855

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 195.187.245.55

peer jitter 195.187.245.55 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 195.187.245.55 0.000 0.275 0.696 3.120 15.053 28.848 29.699 14.358 28.573 5.204 4.769 ms 2.424 10.25

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter 213.135.57.60

peer jitter 213.135.57.60 plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter 213.135.57.60 0.000 0.087 0.845 2.919 10.271 15.511 17.375 9.425 15.423 3.010 3.795 ms 2.687 9.406

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Server Jitter SHM(0)

peer jitter SHM(0) plot

Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Server Jitter SHM(0) 0.000 0.581 0.903 2.276 5.645 8.045 161.418 4.742 7.464 3.666 2.745 ms 25.37 881.6

The RMS Jitter of a server. Jitter is the current estimated dispersion, in other words the variation in offset between samples.

Closer to 0s is better. An ideal system would be a horizontal line at 0s.

RMS Jitter is field 8 in the peerstats log file.



Summary


Percentiles...... Ranges...... Skew- Kurt-
Name Min1%5%50%95% 99%Max   90%98%StdDev  MeanUnits nessosis
Local Clock Frequency Offset 11.385 15.642 18.367 26.270 44.582 57.615 60.279 26.216 41.973 8.964 28.492 ppm 17.84 63.06
Local Clock Time Offset -19.420 -11.091 -6.526 -0.273 4.137 6.793 12.003 10.663 17.885 3.353 -0.638 ms -6.087 20.73
Local RMS Frequency Jitter 0.0000 0.180 0.247 0.949 3.574 6.114 8.438 3.327 5.934 1.188 1.274 ppm 2.502 10.7
Local RMS Time Jitter 0.002 0.369 0.971 2.040 4.234 5.400 8.155 3.263 5.031 1.068 2.269 ms 5.812 18.28
Server Jitter 150.254.190.51 0.000 0.307 0.816 3.243 12.268 17.424 24.742 11.451 17.117 3.533 4.268 ms 2.611 10.44
Server Jitter 153.19.250.123 0.000 0.210 0.942 3.064 12.845 17.860 31.204 11.903 17.649 4.216 4.376 ms 3.105 16.23
Server Jitter 193.110.137.171 0.000 0.144 0.736 3.004 13.701 20.239 25.275 12.965 20.094 4.381 4.696 ms 1.872 6.485
Server Jitter 194.146.251.100 0.000 0.292 0.952 3.198 14.248 19.271 29.537 13.296 18.979 4.334 4.657 ms 2.575 10.93
Server Jitter 194.146.251.101 0.000 0.116 0.715 3.334 12.765 16.231 22.454 12.051 16.115 3.701 4.281 ms 2.276 8.056
Server Jitter 194.29.130.252 0.000 0.338 1.002 3.008 11.661 14.434 16.158 10.659 14.097 3.252 4.086 ms 2.324 6.855
Server Jitter 195.187.245.55 0.000 0.275 0.696 3.120 15.053 28.848 29.699 14.358 28.573 5.204 4.769 ms 2.424 10.25
Server Jitter 213.135.57.60 0.000 0.087 0.845 2.919 10.271 15.511 17.375 9.425 15.423 3.010 3.795 ms 2.687 9.406
Server Jitter SHM(0) 0.000 0.581 0.903 2.276 5.645 8.045 161.418 4.742 7.464 3.666 2.745 ms 25.37 881.6
Server Offset 150.254.190.51 -20.072 -18.015 -14.657 -3.959 2.600 164.874 165.019 17.258 182.890 21.811 -2.048 ms 2.517 32.13
Server Offset 153.19.250.123 -25.718 -21.070 -16.487 -5.321 1.508 163.814 165.073 17.995 184.883 22.358 -3.482 ms 1.945 30.11
Server Offset 193.110.137.171 -25.969 -19.361 -17.235 -5.046 2.200 163.910 164.016 19.434 183.271 22.396 -3.141 ms 1.98 29.65
Server Offset 194.146.251.100 -25.307 -20.354 -16.824 -5.436 0.337 3.730 164.218 17.162 24.084 12.089 -5.583 ms 3.947 112.7
Server Offset 194.146.251.101 -21.866 -19.112 -14.669 -5.136 1.370 6.723 164.575 16.039 25.835 12.209 -5.190 ms 4.263 111
Server Offset 194.29.130.252 -19.293 -19.016 -15.148 -4.537 0.869 6.553 165.684 16.017 25.569 16.653 -4.245 ms 3.502 59.81
Server Offset 195.187.245.55 -24.550 -20.065 -17.040 -5.269 0.881 163.725 165.995 17.921 183.789 19.329 -4.123 ms 2.546 42.28
Server Offset 213.135.57.60 -20.172 -18.950 -13.984 -4.886 1.206 163.879 164.750 15.190 182.829 18.731 -3.473 ms 3.06 45.58
Server Offset SHM(0) -11.030 -3.751 -0.434 9.099 25.122 197.585 215.673 25.556 201.336 39.006 17.364 ms 2.336 11.65
TDOP 0.670 0.720 0.790 1.410 5.340 14.700 99.990 4.550 13.980 8.099 2.613 8.917 107.1
Temp /dev/sdb 33.000 34.000 35.000 35.000 38.000 39.000 39.000 3.000 5.000 1.040 35.437 °C
Temp LM0 16.000 20.000 21.000 23.000 24.000 25.000 26.000 3.000 5.000 1.230 22.691 °C
Temp LM1 15.000 19.000 19.000 22.000 23.000 24.000 24.000 4.000 5.000 1.281 21.569 °C
Temp LM2 50.000 53.000 53.000 54.000 55.000 55.000 55.000 2.000 2.000 0.636 53.637 °C
Temp LM3 22.500 22.500 23.000 24.500 73.000 73.500 73.500 50.000 51.000 23.853 42.707 °C
Temp LM4 22.500 22.500 23.000 24.500 73.000 73.500 73.500 50.000 51.000 23.853 42.730 °C
nSats 0.000 3.000 4.000 6.000 8.000 9.000 10.000 4.000 6.000 1.369 6.196 nSat 53.82 225.9
Summary as CSV file

Glossary:

frequency offset:
The difference between the ntpd calculated frequency and the local system clock frequency (usually in parts per million, ppm)
jitter, dispersion:
The short term change in a value. NTP measures Local Time Jitter, Refclock Jitter, and Server Jitter in seconds. Local Frequency Jitter is in ppm or ppb.
kurtosis, Kurt:
The kurtosis of a random variable X is the fourth standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of kurtosis. A normal distribution has a kurtosis of three. NIST describes a kurtosis over three as "heavy tailed" and one under three as "light tailed".
ms, millisecond:
One thousandth of a second = 0.001 seconds, 1e-3 seconds
mu, mean:
The arithmetic mean: the sum of all the values divided by the number of values. The formula for mu is: "mu = (∑xi) / N". Where xi denotes the data points and N is the number of data points.
ns, nanosecond:
One billionth of a second, also one thousandth of a microsecond, 0.000000001 seconds and 1e-9 seconds.
percentile:
The value below which a given percentage of values fall.
ppb, parts per billion:
Ratio between two values. These following are all the same: 1 ppb, one in one billion, 1/1,000,000,000, 0.000,000,001, 1e-9 and 0.000,000,1%
ppm, parts per million:
Ratio between two values. These following are all the same: 1 ppm, one in one million, 1/1,000,000, 0.000,001, and 0.000,1%
‰, parts per thousand:
Ratio between two values. These following are all the same: 1 ‰. one in one thousand, 1/1,000, 0.001, and 0.1%
refclock:
Reference clock, a local GPS module or other local source of time.
remote clock:
Any clock reached over the network, LAN or WAN. Also called a peer or server.
time offset:
The difference between the ntpd calculated time and the local system clock's time. Also called phase offset.
σ, sigma:
Sigma denotes the standard deviation (SD) and is centered on the arithmetic mean of the data set. The SD is simply the square root of the variance of the data set. Two sigma is simply twice the standard deviation. Three sigma is three times sigma. Smaller is better.
The formula for sigma is: "σ = √[ ∑(xi-mu)^2 / N ]". Where xi denotes the data points and N is the number of data points.
skewness, Skew:
The skewness of a random variable X is the third standardized moment and is a dimension-less ratio. ntpviz uses the Pearson's moment coefficient of skewness. Wikipedia describes it best: "The qualitative interpretation of the skew is complicated and unintuitive."
A normal distribution has a skewness of zero.
upstream clock:
Any server or reference clock used as a source of time.
µs, us, microsecond:
One millionth of a second, also one thousandth of a millisecond, 0.000,001 seconds, and 1e-6 seconds.



This page autogenerated by ntpviz, part of the NTPsec project
html 5    Valid CSS!