.. _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': 400275193, 'guest': 0.0, 'idle': 93.4, 'interrupts': 279831071, 'iowait': 0.3, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 112210940, 'steal': 0.0, 'syscalls': 0, 'system': 4.4, 'total': 5.7, 'user': 1.9} >>> gl.cpu.get("total") 5.7 >>> gl.mem.get("used") 11610404872 >>> gl.auto_unit(gl.mem.get("used")) 10.8G 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': 144, 'bytes_all_gauge': 7642237288, 'bytes_all_rate_per_sec': 562.0, 'bytes_recv': 144, 'bytes_recv_gauge': 7236972362, 'bytes_recv_rate_per_sec': 562.0, 'bytes_sent': 0, 'bytes_sent_gauge': 405264926, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.2560842037200928} 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 [{'avg': 84.95920654221204, 'begin': 1772894442, 'count': 2, 'desc': '', 'end': -1, 'global_msg': 'High swap (paging) usage', 'max': 84.95920654221204, 'min': 84.95920654221204, 'sort': 'memory_percent', 'state': 'WARNING', 'sum': 169.9184130844241, 'top': [], 'type': 'MEMSWAP'}, {'avg': 70.64898040310717, 'begin': 1772894442, 'count': 2, 'desc': '', 'end': -1, 'global_msg': 'High swap (paging) usage', 'max': 70.70363122278216, 'min': 70.59432958343217, 'sort': 'memory_percent', 'state': 'WARNING', 'sum': 141.29796080621435, 'top': [], 'type': 'MEM'}] 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 [{'description': 'DefaultGateway', 'host': '192.168.0.254', 'indice': 'port_0', 'port': 0, 'refresh': 30, 'rtt_warning': None, 'status': 0.014996, 'timeout': 3}] 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.get("nvme0n1") {'disk_name': 'nvme0n1', 'key': 'disk_name', 'read_bytes': 21177210368, 'read_count': 832513, 'read_latency': 0, 'read_time': 241031, 'write_bytes': 147585041408, 'write_count': 3553571, 'write_latency': 0, 'write_time': 6937742} 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 * ports: Container ports * 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_disable_stats': ['command'], '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': 1, 'sleeping': 441, 'thread': 2347, 'total': 588} >>> gl.processcount.keys() ['total', 'running', 'sleeping', 'thread', 'pid_max'] >>> gl.processcount.get("total") 588 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 Return a dict of dict with key= >>> gl.gpu.keys() ['intel0', 'intel1'] >>> gl.gpu.get("intel0") {'fan_speed': None, 'gpu_id': 'intel0', 'key': 'gpu_id', 'mem': None, 'name': 'UHD Graphics', 'proc': 0, 'temperature': None} 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.get("0") {'cpu_number': 0, 'dpc': None, 'guest': 0.0, 'guest_nice': 0.0, 'idle': 28.0, 'interrupt': None, 'iowait': 0.0, 'irq': 0.0, 'key': 'cpu_number', 'nice': 0.0, 'softirq': 0.0, 'steal': 0.0, 'system': 10.0, 'total': 72.0, '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 6.17.0-14-generic', 'linux_distro': 'Ubuntu 24.04', 'os_name': 'Linux', 'os_version': '6.17.0-14-generic', 'platform': '64bit'} >>> gl.system.keys() ['os_name', 'hostname', 'platform', 'os_version', 'linux_distro', 'hr_name'] >>> gl.system.get("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.get("wlp0s20f3") {'alias': None, 'bytes_all': 0, 'bytes_all_gauge': 7642237288, 'bytes_all_rate_per_sec': 0.0, 'bytes_recv': 0, 'bytes_recv_gauge': 7236972362, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 0, 'bytes_sent_gauge': 405264926, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.002893686294555664} 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': 400275193, 'guest': 0.0, 'idle': 93.4, 'interrupts': 279831071, 'iowait': 0.3, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 112210940, 'steal': 0.0, 'syscalls': 0, 'system': 4.4, 'total': 5.7, 'user': 1.9} >>> gl.cpu.keys() ['total', 'user', 'nice', 'system', 'idle', 'iowait', 'irq', 'steal', 'guest', 'ctx_switches', 'interrupts', 'soft_interrupts', 'syscalls', 'cpucore'] >>> gl.cpu.get("total") 5.7 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. * total_min: Minimum total observed since Glances startup. * total_max: Maximum total observed since Glances startup. * total_mean: Mean (average) total computed from the history. 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.get("Dropbox") {'count': 0, 'countmax': None, 'countmin': 1.0, 'key': 'name', 'name': 'Dropbox', 'refresh': 3.0, 'regex': True, 'result': None, 'timer': 0.22821807861328125} 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() [383172, 381638, 7363, 382286, 7114, 7465, 9438, 393293, 7510, 7472, 9549, 410004, 409081, 143728, 7492, 420486, 5889, 7479, 510020, 7419, 508725, 379849, 3064, 508724, 9326, 9525, 508727, 508761, 9172, 279745, 381625, 420439, 508750, 542260, 382453, 418378, 539139, 541609, 540112, 383079, 9491, 7373, 3653, 489224, 382500, 542225, 382782, 430486, 6528, 9898, 509915, 7345, 8061, 14270, 540832, 6882, 6312, 9397, 14036, 6107, 6527, 382501, 710, 382285, 2738, 7341, 8901, 6189, 6021, 6921, 3078, 6637, 6894, 6037, 6502, 6378, 382454, 6076, 2821, 6665, 6070, 3649, 1, 9329, 3050, 6013, 6214, 10325, 5856, 2755, 6917, 6094, 6061, 2750, 6068, 45075, 5502, 6273, 10323, 9328, 5655, 2751, 6495, 5523, 2726, 10326, 6087, 6064, 2719, 6112, 7631, 3114, 5472, 6079, 2558, 20127, 5525, 2822, 5526, 3432, 3069, 2958, 6466, 2747, 6058, 6092, 3727, 133846, 6066, 44462, 2931, 133836, 3659, 2740, 768, 5519, 2933, 2722, 6250, 2559, 6135, 6090, 10324, 6342, 6329, 489460, 5587, 2715, 5842, 2748, 6419, 2557, 5537, 6280, 5993, 510535, 2745, 5888, 6081, 6316, 6223, 6059, 5853, 6352, 6210, 5161, 5160, 5591, 6082, 5803, 2714, 5635, 6022, 530485, 2733, 303250, 370413, 113947, 5812, 2855, 6517, 488505, 9925, 113930, 54481, 5902, 2713, 5520, 113966, 382078, 2556, 2718, 3855, 6925, 2568, 2743, 542221, 113969, 3660, 3691, 3673, 442184, 537689, 5598, 3666, 3669, 542224, 5509, 3248, 3058, 3061, 7207, 2803, 2566, 9344, 5195, 3249, 381929, 9874, 2, 3, 4, 5, 6, 7, 8, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 32, 33, 34, 35, 36, 38, 39, 40, 41, 42, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 56, 57, 58, 59, 60, 62, 63, 64, 65, 66, 68, 69, 70, 71, 72, 74, 75, 76, 77, 78, 80, 81, 82, 83, 84, 86, 87, 88, 89, 90, 92, 93, 94, 95, 96, 98, 99, 100, 101, 102, 104, 105, 106, 107, 108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 121, 122, 123, 124, 125, 126, 127, 129, 132, 133, 134, 135, 136, 137, 139, 141, 142, 143, 144, 145, 146, 147, 148, 151, 152, 153, 154, 155, 156, 177, 178, 201, 221, 223, 251, 259, 260, 261, 262, 263, 264, 265, 267, 268, 352, 354, 357, 358, 359, 360, 437, 438, 439, 600, 601, 603, 605, 610, 643, 644, 742, 743, 776, 942, 967, 968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978, 979, 980, 981, 982, 1027, 1162, 1235, 1302, 1303, 1365, 1370, 1371, 1372, 1373, 1454, 1460, 1479, 1484, 1910, 1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1957, 1958, 1959, 1960, 1961, 1962, 1964, 1965, 1966, 1967, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2025, 2026, 2027, 2028, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2068, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2084, 2085, 2086, 2087, 2088, 2090, 2092, 2093, 2096, 2097, 2099, 3695, 3756, 3757, 3758, 3759, 3760, 3761, 3762, 3763, 3999, 113942, 399089, 440259, 475463, 480360, 482606, 488234, 488241, 490944, 491001, 506049, 508052, 512068, 513127, 514153, 514751, 518709, 519529, 520729, 521012, 521148, 522207, 522719, 523021, 523761, 524769, 525889, 528650, 528849, 529064, 529528, 530191, 530295, 531044, 531056, 531875, 533982, 534225, 534574, 534668, 535180, 535364, 535380, 535381, 535541, 535556, 537463, 537464, 538033, 538354, 538828, 539900, 540295, 540869, 540985, 541695, 541960, 541961, 541962, 542149] >>> gl.processlist.get("383172") {'cmdline': ['/home/nicolargo/.cache/cloud-code/cloudcode_cli/cloudcode_cli/5d90276a/cloudcode_cli', 'duet', '-trace', '-logtostderr'], 'cpu_percent': 0.0, 'cpu_times': {'children_system': 0.0, 'children_user': 0.0, 'iowait': 0.0, 'system': 10.87, 'user': 207.36}, 'gids': {'effective': 1000, 'real': 1000, 'saved': 1000}, 'io_counters': [580788224, 4096, 580788224, 4096, 1], 'key': 'pid', 'memory_info': {'data': 3313868800, 'dirty': 0, 'lib': 0, 'rss': 1551958016, 'shared': 24248320, 'text': 99307520, 'vms': 5210402816}, 'memory_percent': 9.450925135361175, 'name': 'cloudcode_cli', 'nice': 0, 'num_threads': 21, 'pid': 383172, 'status': 'S', 'time_since_update': 0.524019718170166, '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 (returned value can be > 100.0 in case of a process running multiple threads on different CPU cores) * 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) * cpu_num: CPU core number where the process is currently executing (0-based indexing) 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_disable_stats': ['cpu_num'], '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': 0.43017578125, 'min15': 0.5341796875, 'min5': 0.48779296875} >>> gl.load.keys() ['min1', 'min5', 'min15', 'cpucore'] >>> gl.load.get("min1") 0.43017578125 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. * min1_min: Minimum min1 observed since Glances startup. * min1_max: Maximum min1 observed since Glances startup. * min1_mean: Mean (average) min1 computed from the history. 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=