.. _api: Python API documentation ======================== This documentation describes the Glances Python API. Note: This API is only available in Glances 4.4.0 or higher. TL;DR ----- You can access the Glances API by importing the `glances.api` module and creating an instance of the `GlancesAPI` class. This instance provides access to all Glances plugins and their fields. For example, to access the CPU plugin and its total field, you can use the following code: .. code-block:: python >>> from glances import api >>> gl = api.GlancesAPI() >>> gl.cpu {'cpucore': 16, 'ctx_switches': 130724170, 'guest': 0.0, 'idle': 86.9, 'interrupts': 107406067, 'iowait': 0.2, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 45147193, 'steal': 0.0, 'syscalls': 0, 'system': 6.0, 'total': 10.6, 'user': 6.9} >>> gl.cpu["total"] 10.6 If the stats return a list of items (like network interfaces or processes), you can access them by their name: .. code-block:: python >>> gl.network.keys() ['wlp0s20f3'] >>> gl.network["wlp0s20f3"] {'alias': None, 'bytes_all': 44734, 'bytes_all_gauge': 1934094759, 'bytes_all_rate_per_sec': 426648.0, 'bytes_recv': 2244, 'bytes_recv_gauge': 1781571064, 'bytes_recv_rate_per_sec': 21402.0, 'bytes_sent': 42490, 'bytes_sent_gauge': 152523695, 'bytes_sent_rate_per_sec': 405246.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.10484981536865234} Init Glances Python API ----------------------- Init the Glances API: .. code-block:: python >>> from glances import api >>> gl = api.GlancesAPI() Get Glances plugins list ------------------------ Get the plugins list: .. code-block:: python >>> gl.plugins() ['alert', 'ports', 'diskio', 'containers', 'processcount', 'programlist', 'gpu', 'percpu', 'system', 'network', 'cpu', 'amps', 'processlist', 'load', 'sensors', 'uptime', 'now', 'fs', 'wifi', 'ip', 'help', 'version', 'psutilversion', 'core', 'mem', 'folders', 'quicklook', 'memswap'] Glances alert ------------- Alert stats: .. code-block:: python >>> type(gl.alert) >>> gl.alert [] Alert fields description: * begin: Begin timestamp of the event * end: End timestamp of the event (or -1 if ongoing) * state: State of the event (WARNING|CRITICAL) * type: Type of the event (CPU|LOAD|MEM) * max: Maximum value during the event period * avg: Average value during the event period * min: Minimum value during the event period * sum: Sum of the values during the event period * count: Number of values during the event period * top: Top 3 processes name during the event period * desc: Description of the event * sort: Sort key of the top processes * global_msg: Global alert message Alert limits: .. code-block:: python >>> gl.alert.limits {'alert_disable': ['False'], 'history_size': 1200.0} Glances ports ------------- Ports stats: .. code-block:: python >>> type(gl.ports) >>> gl.ports [] Ports fields description: * host: Measurement is be done on this host (or IP address) * port: Measurement is be done on this port (0 for ICMP) * description: Human readable description for the host/port * refresh: Refresh time (in seconds) for this host/port * timeout: Timeout (in seconds) for the measurement * status: Measurement result (in seconds) * rtt_warning: Warning threshold (in seconds) for the measurement * indice: Unique indice for the host/port Ports limits: .. code-block:: python >>> gl.ports.limits {'history_size': 1200.0, 'ports_disable': ['False'], 'ports_port_default_gateway': ['True'], 'ports_refresh': 30.0, 'ports_timeout': 3.0} Glances diskio -------------- Diskio stats: .. code-block:: python >>> type(gl.diskio) >>> gl.diskio Return a dict of dict with key= >>> gl.diskio.keys() ['nvme0n1', 'nvme0n1p1', 'nvme0n1p2', 'nvme0n1p3', 'dm-0', 'dm-1'] >>> gl.diskio["nvme0n1"] {'disk_name': 'nvme0n1', 'key': 'disk_name', 'read_bytes': 10276049408, 'read_count': 347806, 'read_latency': 0, 'read_time': 67145, 'write_bytes': 16687789056, 'write_count': 784025, 'write_latency': 0, 'write_time': 1157773} Diskio fields description: * disk_name: Disk name. * read_count: Number of reads. * write_count: Number of writes. * read_bytes: Number of bytes read. * write_bytes: Number of bytes written. * read_time: Time spent reading. * write_time: Time spent writing. * read_latency: Mean time spent reading per operation. * write_latency: Mean time spent writing per operation. Diskio limits: .. code-block:: python >>> gl.diskio.limits {'diskio_disable': ['False'], 'diskio_hide': ['loop.*', '/dev/loop.*'], 'diskio_hide_zero': ['False'], 'diskio_rx_latency_careful': 10.0, 'diskio_rx_latency_critical': 50.0, 'diskio_rx_latency_warning': 20.0, 'diskio_tx_latency_careful': 10.0, 'diskio_tx_latency_critical': 50.0, 'diskio_tx_latency_warning': 20.0, 'history_size': 1200.0} Glances containers ------------------ Containers stats: .. code-block:: python >>> type(gl.containers) >>> gl.containers [] Containers fields description: * name: Container name * id: Container ID * image: Container image * status: Container status * created: Container creation date * command: Container command * cpu_percent: Container CPU consumption * memory_inactive_file: Container memory inactive file * memory_limit: Container memory limit * memory_usage: Container memory usage * io_rx: Container IO bytes read rate * io_wx: Container IO bytes write rate * network_rx: Container network RX bitrate * network_tx: Container network TX bitrate * uptime: Container uptime * engine: Container engine (Docker and Podman are currently supported) * pod_name: Pod name (only with Podman) * pod_id: Pod ID (only with Podman) Containers limits: .. code-block:: python >>> gl.containers.limits {'containers_all': ['False'], 'containers_disable': ['False'], 'containers_max_name_size': 20.0, 'history_size': 1200.0} Glances processcount -------------------- Processcount stats: .. code-block:: python >>> type(gl.processcount) >>> gl.processcount {'pid_max': 0, 'running': 2, 'sleeping': 417, 'thread': 2146, 'total': 550} >>> gl.processcount.keys() ['total', 'running', 'sleeping', 'thread', 'pid_max'] >>> gl.processcount["total"] 550 Processcount fields description: * total: Total number of processes * running: Total number of running processes * sleeping: Total number of sleeping processes * thread: Total number of threads * pid_max: Maximum number of processes Processcount limits: .. code-block:: python >>> gl.processcount.limits {'history_size': 1200.0, 'processcount_disable': ['False']} Glances gpu ----------- Gpu stats: .. code-block:: python >>> type(gl.gpu) >>> gl.gpu [] Gpu fields description: * gpu_id: GPU identification * name: GPU name * mem: Memory consumption * proc: GPU processor consumption * temperature: GPU temperature * fan_speed: GPU fan speed Gpu limits: .. code-block:: python >>> gl.gpu.limits {'gpu_disable': ['False'], 'gpu_mem_careful': 50.0, 'gpu_mem_critical': 90.0, 'gpu_mem_warning': 70.0, 'gpu_proc_careful': 50.0, 'gpu_proc_critical': 90.0, 'gpu_proc_warning': 70.0, 'gpu_temperature_careful': 60.0, 'gpu_temperature_critical': 80.0, 'gpu_temperature_warning': 70.0, 'history_size': 1200.0} Glances percpu -------------- Percpu stats: .. code-block:: python >>> type(gl.percpu) >>> gl.percpu Return a dict of dict with key= >>> gl.percpu.keys() [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15] >>> gl.percpu["0"] {'cpu_number': 0, 'dpc': None, 'guest': 0.0, 'guest_nice': 0.0, 'idle': 24.0, 'interrupt': None, 'iowait': 0.0, 'irq': 0.0, 'key': 'cpu_number', 'nice': 0.0, 'softirq': 0.0, 'steal': 0.0, 'system': 9.0, 'total': 76.0, 'user': 0.0} Percpu fields description: * cpu_number: CPU number * total: Sum of CPU percentages (except idle) for current CPU number. * system: Percent time spent in kernel space. System CPU time is the time spent running code in the Operating System kernel. * user: CPU percent time spent in user space. User CPU time is the time spent on the processor running your program's code (or code in libraries). * iowait: *(Linux)*: percent time spent by the CPU waiting for I/O operations to complete. * idle: percent of CPU used by any program. Every program or task that runs on a computer system occupies a certain amount of processing time on the CPU. If the CPU has completed all tasks it is idle. * irq: *(Linux and BSD)*: percent time spent servicing/handling hardware/software interrupts. Time servicing interrupts (hardware + software). * nice: *(Unix)*: percent time occupied by user level processes with a positive nice value. The time the CPU has spent running users' processes that have been *niced*. * steal: *(Linux)*: percentage of time a virtual CPU waits for a real CPU while the hypervisor is servicing another virtual processor. * guest: *(Linux)*: percent of time spent running a virtual CPU for guest operating systems under the control of the Linux kernel. * guest_nice: *(Linux)*: percent of time spent running a niced guest (virtual CPU). * softirq: *(Linux)*: percent of time spent handling software interrupts. * dpc: *(Windows)*: percent of time spent handling deferred procedure calls. * interrupt: *(Windows)*: percent of time spent handling software interrupts. Percpu limits: .. code-block:: python >>> gl.percpu.limits {'history_size': 1200.0, 'percpu_disable': ['False'], 'percpu_iowait_careful': 50.0, 'percpu_iowait_critical': 90.0, 'percpu_iowait_warning': 70.0, 'percpu_max_cpu_display': 4.0, 'percpu_system_careful': 50.0, 'percpu_system_critical': 90.0, 'percpu_system_warning': 70.0, 'percpu_user_careful': 50.0, 'percpu_user_critical': 90.0, 'percpu_user_warning': 70.0} Glances system -------------- System stats: .. code-block:: python >>> type(gl.system) >>> gl.system {'hostname': 'nicolargo-xps15', 'hr_name': 'Ubuntu 24.04 64bit / Linux 6.14.0-24-generic', 'linux_distro': 'Ubuntu 24.04', 'os_name': 'Linux', 'os_version': '6.14.0-24-generic', 'platform': '64bit'} >>> gl.system.keys() ['os_name', 'hostname', 'platform', 'os_version', 'linux_distro', 'hr_name'] >>> gl.system["os_name"] 'Linux' System fields description: * os_name: Operating system name * hostname: Hostname * platform: Platform (32 or 64 bits) * linux_distro: Linux distribution * os_version: Operating system version * hr_name: Human readable operating system name System limits: .. code-block:: python >>> gl.system.limits {'history_size': 1200.0, 'system_disable': ['False'], 'system_refresh': 60} Glances network --------------- Network stats: .. code-block:: python >>> type(gl.network) >>> gl.network Return a dict of dict with key= >>> gl.network.keys() ['wlp0s20f3'] >>> gl.network["wlp0s20f3"] {'alias': None, 'bytes_all': 0, 'bytes_all_gauge': 1934094759, 'bytes_all_rate_per_sec': 0.0, 'bytes_recv': 0, 'bytes_recv_gauge': 1781571064, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 0, 'bytes_sent_gauge': 152523695, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.0017256736755371094} Network fields description: * interface_name: Interface name. * alias: Interface alias name (optional). * bytes_recv: Number of bytes received. * bytes_sent: Number of bytes sent. * bytes_all: Number of bytes received and sent. * speed: Maximum interface speed (in bit per second). Can return 0 on some operating-system. * is_up: Is the interface up ? Network limits: .. code-block:: python >>> gl.network.limits {'history_size': 1200.0, 'network_disable': ['False'], 'network_hide': ['docker.*', 'lo'], 'network_hide_no_ip': ['True'], 'network_hide_no_up': ['True'], 'network_hide_zero': ['False'], 'network_rx_careful': 70.0, 'network_rx_critical': 90.0, 'network_rx_warning': 80.0, 'network_tx_careful': 70.0, 'network_tx_critical': 90.0, 'network_tx_warning': 80.0} Glances cpu ----------- Cpu stats: .. code-block:: python >>> type(gl.cpu) >>> gl.cpu {'cpucore': 16, 'ctx_switches': 130724170, 'guest': 0.0, 'idle': 86.9, 'interrupts': 107406067, 'iowait': 0.2, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 45147193, 'steal': 0.0, 'syscalls': 0, 'system': 6.0, 'total': 10.6, 'user': 6.9} >>> gl.cpu.keys() ['total', 'user', 'nice', 'system', 'idle', 'iowait', 'irq', 'steal', 'guest', 'ctx_switches', 'interrupts', 'soft_interrupts', 'syscalls', 'cpucore'] >>> gl.cpu["total"] 10.6 Cpu fields description: * total: Sum of all CPU percentages (except idle). * system: Percent time spent in kernel space. System CPU time is the time spent running code in the Operating System kernel. * user: CPU percent time spent in user space. User CPU time is the time spent on the processor running your program's code (or code in libraries). * iowait: *(Linux)*: percent time spent by the CPU waiting for I/O operations to complete. * dpc: *(Windows)*: time spent servicing deferred procedure calls (DPCs) * idle: percent of CPU used by any program. Every program or task that runs on a computer system occupies a certain amount of processing time on the CPU. If the CPU has completed all tasks it is idle. * irq: *(Linux and BSD)*: percent time spent servicing/handling hardware/software interrupts. Time servicing interrupts (hardware + software). * nice: *(Unix)*: percent time occupied by user level processes with a positive nice value. The time the CPU has spent running users' processes that have been *niced*. * steal: *(Linux)*: percentage of time a virtual CPU waits for a real CPU while the hypervisor is servicing another virtual processor. * guest: *(Linux)*: time spent running a virtual CPU for guest operating systems under the control of the Linux kernel. * ctx_switches: number of context switches (voluntary + involuntary) per second. A context switch is a procedure that a computer's CPU (central processing unit) follows to change from one task (or process) to another while ensuring that the tasks do not conflict. * interrupts: number of interrupts per second. * soft_interrupts: number of software interrupts per second. Always set to 0 on Windows and SunOS. * syscalls: number of system calls per second. Always 0 on Linux OS. * cpucore: Total number of CPU core. * time_since_update: Number of seconds since last update. Cpu limits: .. code-block:: python >>> gl.cpu.limits {'cpu_ctx_switches_careful': 640000.0, 'cpu_ctx_switches_critical': 800000.0, 'cpu_ctx_switches_warning': 720000.0, 'cpu_disable': ['False'], 'cpu_iowait_careful': 5.0, 'cpu_iowait_critical': 6.25, 'cpu_iowait_warning': 5.625, 'cpu_steal_careful': 50.0, 'cpu_steal_critical': 90.0, 'cpu_steal_warning': 70.0, 'cpu_system_careful': 50.0, 'cpu_system_critical': 90.0, 'cpu_system_log': ['False'], 'cpu_system_warning': 70.0, 'cpu_total_careful': 65.0, 'cpu_total_critical': 85.0, 'cpu_total_log': ['True'], 'cpu_total_warning': 75.0, 'cpu_user_careful': 50.0, 'cpu_user_critical': 90.0, 'cpu_user_log': ['False'], 'cpu_user_warning': 70.0, 'history_size': 1200.0} Glances amps ------------ Amps stats: .. code-block:: python >>> type(gl.amps) >>> gl.amps Return a dict of dict with key= >>> gl.amps.keys() ['Dropbox', 'Python', 'Conntrack', 'Nginx', 'Systemd', 'SystemV'] >>> gl.amps["Dropbox"] {'count': 0, 'countmax': None, 'countmin': 1.0, 'key': 'name', 'name': 'Dropbox', 'refresh': 3.0, 'regex': True, 'result': None, 'timer': 0.16528964042663574} Amps fields description: * name: AMP name. * result: AMP result (a string). * refresh: AMP refresh interval. * timer: Time until next refresh. * count: Number of matching processes. * countmin: Minimum number of matching processes. * countmax: Maximum number of matching processes. Amps limits: .. code-block:: python >>> gl.amps.limits {'amps_disable': ['False'], 'history_size': 1200.0} Glances processlist ------------------- Processlist stats: .. code-block:: python >>> type(gl.processlist) >>> gl.processlist Return a dict of dict with key= >>> gl.processlist.keys() [259901, 259888, 25440, 128, 5325, 26358, 7064, 7329, 8157, 25356, 70768, 8145, 9147, 219843, 8147, 6769, 144938, 7366, 26173, 2856, 25244, 25450, 25567, 26736, 79046, 5966, 198381, 7338, 25566, 198494, 25390, 25451, 25796, 25526, 5580, 6269, 5469, 25582, 26414, 27424, 3680, 25536, 25806, 6310, 256800, 6281, 257516, 258649, 259729, 25325, 224253, 257355, 7967, 5775, 26008, 2871, 26021, 11269, 26023, 5914, 7315, 25247, 2498, 25246, 5719, 7310, 8592, 26166, 5822, 5617, 5938, 5476, 5985, 732, 6219, 2859, 7410, 5497, 5041, 6304, 5507, 5456, 5484, 3671, 5550, 2601, 5282, 5494, 5040, 2511, 5180, 5036, 2483, 1, 2521, 5961, 5726, 2513, 5014, 2919, 2491, 3654, 2347, 5488, 5478, 5527, 5597, 3683, 2700, 4959, 3656, 2839, 5509, 2602, 5043, 6147, 2819, 9457, 5546, 74467, 8741, 199883, 3655, 9442, 5877, 3726, 199844, 5738, 2504, 5541, 5764, 5490, 787, 2706, 5268, 5592, 2479, 2350, 5755, 2487, 2507, 2345, 5102, 5054, 5837, 5324, 2500, 5437, 5625, 5616, 5250, 5107, 5279, 5519, 5781, 5747, 33191, 5718, 5479, 2502, 9461, 5164, 2478, 5525, 5464, 2495, 5037, 26174, 25951, 198939, 223780, 242663, 5254, 24027, 5339, 25791, 7152, 2477, 5020, 25265, 3813, 6351, 9464, 2501, 259884, 3693, 3710, 3073, 5114, 242813, 251520, 259900, 259887, 2849, 2597, 2852, 3074, 3759, 2, 3, 4, 5, 6, 7, 8, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 29, 30, 31, 32, 33, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 53, 54, 55, 56, 57, 59, 60, 61, 62, 63, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 77, 78, 79, 80, 81, 83, 84, 85, 86, 87, 89, 90, 91, 92, 93, 95, 96, 97, 98, 99, 101, 102, 103, 104, 105, 107, 108, 109, 110, 111, 113, 114, 115, 116, 117, 118, 121, 122, 123, 124, 125, 126, 127, 132, 134, 135, 136, 137, 138, 139, 141, 142, 143, 144, 145, 146, 147, 149, 150, 151, 152, 153, 161, 177, 188, 189, 216, 218, 252, 268, 269, 270, 271, 272, 273, 274, 275, 277, 279, 350, 351, 354, 355, 356, 357, 359, 437, 438, 601, 606, 607, 608, 616, 674, 675, 802, 989, 996, 997, 1011, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1040, 1041, 1042, 1043, 1044, 1047, 1048, 1049, 1223, 1235, 1236, 1237, 1238, 1239, 1240, 1298, 1307, 1392, 1403, 1822, 1823, 1824, 1825, 1826, 1827, 1828, 1829, 1830, 1831, 1832, 1833, 1834, 1835, 1864, 1865, 1866, 1867, 1869, 1870, 1871, 1872, 1873, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1968, 1969, 1970, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1996, 1998, 1999, 2001, 2002, 2743, 2744, 2745, 3662, 4095, 9454, 129572, 177956, 182121, 198839, 198840, 224561, 230881, 231507, 236052, 236462, 236488, 241828, 242442, 242742, 242863, 244766, 246147, 246935, 246968, 247091, 247880, 248326, 248846, 250360, 250486, 251821, 252072, 252075, 252078, 252080, 252307, 252612, 252647, 252789, 254514, 254728, 254882, 254945, 255025, 255105, 255260, 255582, 255902, 255931, 256947, 257249, 257271, 257663, 257750, 258274, 258370, 258416, 258444, 258588, 258860] >>> gl.processlist["259901"] {'cmdline': ['/home/nicolargo/dev/glances/venv/bin/python', '-m', 'rstcheck._cli', '/home/nicolargo/dev/glances/docs/api/python.rst'], 'cpu_percent': 103.7, 'cpu_times': {'children_system': 0.0, 'children_user': 0.0, 'iowait': 0.0, 'system': 0.05, 'user': 0.43}, 'gids': {'effective': 1000, 'real': 1000, 'saved': 1000}, 'io_counters': [0, 4096, 0, 0, 1, 0, 20480, 0, 20480, 1, 64045056, 70017024, 64045056, 70017024, 1, 0, 8192, 0, 8192, 1, 2465792, 0, 2465792, 0, 1, 741376, 0, 741376, 0, 1, 3235840, 0, 3235840, 0, 1], 'key': 'pid', 'memory_info': {'data': 63213568, 'dirty': 0, 'lib': 0, 'rss': 78741504, 'shared': 16969728, 'text': 3026944, 'vms': 91906048}, 'memory_percent': 0.47946211653194054, 'name': 'python', 'nice': 0, 'num_threads': 1, 'pid': 259901, 'status': 'R', 'time_since_update': 0.29739928245544434, 'username': 'nicolargo'} Processlist fields description: * pid: Process identifier (ID) * name: Process name * cmdline: Command line with arguments * username: Process owner * num_threads: Number of threads * cpu_percent: Process CPU consumption * memory_percent: Process memory consumption * memory_info: Process memory information (dict with rss, vms, shared, text, lib, data, dirty keys) * status: Process status * nice: Process nice value * cpu_times: Process CPU times (dict with user, system, iowait keys) * gids: Process group IDs (dict with real, effective, saved keys) * io_counters: Process IO counters (list with read_count, write_count, read_bytes, write_bytes, io_tag keys) Processlist limits: .. code-block:: python >>> gl.processlist.limits {'history_size': 1200.0, 'processlist_cpu_careful': 50.0, 'processlist_cpu_critical': 90.0, 'processlist_cpu_warning': 70.0, 'processlist_disable': ['False'], 'processlist_mem_careful': 50.0, 'processlist_mem_critical': 90.0, 'processlist_mem_warning': 70.0, 'processlist_nice_warning': ['-20', '-19', '-18', '-17', '-16', '-15', '-14', '-13', '-12', '-11', '-10', '-9', '-8', '-7', '-6', '-5', '-4', '-3', '-2', '-1', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', '13', '14', '15', '16', '17', '18', '19'], 'processlist_status_critical': ['Z', 'D'], 'processlist_status_ok': ['R', 'W', 'P', 'I']} Glances load ------------ Load stats: .. code-block:: python >>> type(gl.load) >>> gl.load {'cpucore': 16, 'min1': 1.3310546875, 'min15': 0.34033203125, 'min5': 0.6142578125} >>> gl.load.keys() ['min1', 'min5', 'min15', 'cpucore'] >>> gl.load["min1"] 1.3310546875 Load fields description: * min1: Average sum of the number of processes waiting in the run-queue plus the number currently executing over 1 minute. * min5: Average sum of the number of processes waiting in the run-queue plus the number currently executing over 5 minutes. * min15: Average sum of the number of processes waiting in the run-queue plus the number currently executing over 15 minutes. * cpucore: Total number of CPU core. Load limits: .. code-block:: python >>> gl.load.limits {'history_size': 1200.0, 'load_careful': 0.7, 'load_critical': 5.0, 'load_disable': ['False'], 'load_warning': 1.0} Glances sensors --------------- Sensors stats: .. code-block:: python >>> type(gl.sensors) >>> gl.sensors Return a dict of dict with key=