.. _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': 65528876, 'guest': 0.0, 'idle': 92.6, 'interrupts': 55216273, 'iowait': 0.8, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 22961799, 'steal': 0.0, 'syscalls': 0, 'system': 4.3, 'total': 6.6, 'user': 2.3} >>> gl.cpu["total"] 6.6 >>> gl.mem["used"] 12455349400 >>> gl.auto_unit(gl.mem["used"]) 11.6G 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': 465, 'bytes_all_gauge': 481459361, 'bytes_all_rate_per_sec': 3489.0, 'bytes_recv': 293, 'bytes_recv_gauge': 389786576, 'bytes_recv_rate_per_sec': 2198.0, 'bytes_sent': 172, 'bytes_sent_gauge': 91672785, 'bytes_sent_rate_per_sec': 1290.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.13325786590576172} 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': 75.8840094233727, 'begin': 1762770997, 'count': 2, 'desc': '', 'end': -1, 'global_msg': 'High memory consumption', 'max': 75.92657092492952, 'min': 75.8414479218159, 'sort': 'memory_percent', 'state': 'WARNING', 'sum': 151.7680188467454, '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': '192.168.1.1', 'indice': 'port_0', 'port': 0, 'refresh': 30, 'rtt_warning': None, 'status': 0.009815, '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["nvme0n1"] {'disk_name': 'nvme0n1', 'key': 'disk_name', 'read_bytes': 7482579456, 'read_count': 287657, 'read_latency': 0, 'read_time': 52528, 'write_bytes': 4424934400, 'write_count': 354425, 'write_latency': 0, 'write_time': 454259} 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 Return a dict of dict with key= >>> gl.containers.keys() ['homeassistant'] >>> gl.containers["homeassistant"] {'command': '/init', 'cpu': {'total': 0.0}, 'cpu_percent': 0.0, 'created': '2025-11-03T09:43:31.02993333Z', 'engine': 'docker', 'id': '3bf16da8d0ac1690a7a9fba938ef52d338a9e8db00a8fcba8f707d87e4886471', 'image': ('ghcr.io/home-assistant/home-assistant:stable',), 'io': {}, 'io_rx': None, 'io_wx': None, 'key': 'name', 'memory': {}, 'memory_inactive_file': None, 'memory_limit': None, 'memory_percent': None, 'memory_usage': None, 'name': 'homeassistant', 'network': {}, 'network_rx': None, 'network_tx': None, 'ports': '', 'status': 'running', 'uptime': '3 hours'} 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': 430, 'thread': 2340, 'total': 574} >>> gl.processcount.keys() ['total', 'running', 'sleeping', 'thread', 'pid_max'] >>> gl.processcount["total"] 574 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': 27.0, 'interrupt': None, 'iowait': 0.0, 'irq': 0.0, 'key': 'cpu_number', 'nice': 0.0, 'softirq': 0.0, 'steal': 0.0, 'system': 8.0, 'total': 73.0, '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 6.14.0-35-generic', 'linux_distro': 'Ubuntu 24.04', 'os_name': 'Linux', 'os_version': '6.14.0-35-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': 481459361, 'bytes_all_rate_per_sec': 0.0, 'bytes_recv': 0, 'bytes_recv_gauge': 389786576, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 0, 'bytes_sent_gauge': 91672785, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.0014903545379638672} 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': 65528876, 'guest': 0.0, 'idle': 92.6, 'interrupts': 55216273, 'iowait': 0.8, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 22961799, 'steal': 0.0, 'syscalls': 0, 'system': 4.3, 'total': 6.6, 'user': 2.3} >>> gl.cpu.keys() ['total', 'user', 'nice', 'system', 'idle', 'iowait', 'irq', 'steal', 'guest', 'ctx_switches', 'interrupts', 'soft_interrupts', 'syscalls', 'cpucore'] >>> gl.cpu["total"] 6.6 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': 0.19747257232666016} 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() [14491, 15217, 15970, 6591, 7144, 9423, 7916, 7821, 14405, 16024, 65967, 24497, 5458, 7715, 4744, 7719, 11980, 5866, 24227, 7730, 6882, 3065, 24387, 24428, 23841, 6406, 6047, 8153, 14625, 6893, 14503, 24397, 15887, 14287, 9851, 15628, 15058, 78896, 81918, 6442, 6418, 24371, 24370, 3684, 80345, 81498, 79546, 14443, 5706, 14504, 15056, 5579, 15050, 15057, 22918, 15054, 5881, 7536, 14824, 74748, 22334, 6034, 15022, 81915, 2656, 76197, 6861, 5811, 24391, 5938, 6856, 14358, 8517, 5739, 6093, 6440, 6061, 5571, 5592, 3069, 3080, 5627, 5625, 739, 5093, 3683, 2763, 5395, 5655, 5597, 6330, 5620, 2682, 1, 5293, 14290, 2694, 2629, 2686, 5127, 5783, 5149, 3120, 4428, 6027, 2483, 14289, 3562, 3048, 5151, 3690, 5146, 5600, 5594, 5688, 5102, 5630, 6934, 3721, 5643, 2640, 3030, 2914, 2764, 23869, 5152, 3762, 12575, 5845, 5991, 3563, 2678, 12566, 801, 5647, 5719, 2924, 2484, 2661, 2679, 5602, 5382, 5216, 5645, 2634, 5552, 2482, 2624, 5893, 5959, 5441, 5759, 6255, 5884, 5165, 5731, 5854, 5393, 5900, 5595, 5635, 5363, 2670, 2623, 5279, 5220, 9860, 5641, 5862, 11482, 2648, 5580, 41723, 5367, 2815, 5454, 5147, 2622, 22218, 2481, 14957, 2628, 6448, 3856, 2505, 5134, 2665, 81911, 6682, 3692, 3726, 3709, 3281, 5227, 3701, 3694, 66532, 41918, 81914, 2503, 14304, 3062, 3060, 2761, 3282, 14626, 3579, 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, 128, 129, 133, 135, 136, 137, 138, 139, 141, 143, 144, 145, 146, 147, 148, 149, 151, 153, 155, 156, 157, 165, 176, 185, 186, 212, 230, 266, 267, 268, 269, 270, 271, 272, 273, 274, 276, 277, 356, 357, 359, 360, 361, 362, 366, 443, 444, 607, 612, 613, 614, 620, 674, 675, 770, 771, 806, 994, 1023, 1031, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1070, 1096, 1097, 1098, 1099, 1105, 1218, 1223, 1252, 1341, 1348, 1394, 1395, 1877, 1878, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1890, 1918, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1933, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2023, 2024, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2041, 2042, 2043, 2044, 2046, 2047, 2050, 2051, 3636, 3637, 3638, 3639, 3729, 3792, 3793, 3794, 3795, 3796, 3797, 3798, 3799, 4014, 4520, 4679, 4681, 4693, 4694, 4703, 4741, 12183, 20166, 22079, 22120, 23612, 31691, 32429, 42361, 42809, 44445, 45704, 47523, 49935, 50771, 51352, 51824, 52215, 53748, 54444, 59108, 61711, 61728, 62134, 62534, 66556, 66960, 66961, 68824, 69704, 71155, 72269, 72427, 72490, 72661, 73227, 73321, 73373, 73442, 73536, 74910, 75078, 75110, 75651, 75880, 76238, 76240, 76247, 77918, 79408, 79500, 79812, 80295, 81006, 81150, 81448, 81588] >>> gl.processlist["14491"] {'cmdline': ['/proc/self/exe', '--type=utility', '--utility-sub-type=node.mojom.NodeService', '--lang=en-US', '--service-sandbox-type=none', '--no-sandbox', '--dns-result-order=ipv4first', '--experimental-network-inspection', '--inspect-port=0', '--crashpad-handler-pid=14304', '--enable-crash-reporter=864d4bb7-dd20-4851-830f-29e81dd93517,no_channel', '--user-data-dir=/home/nicolargo/.config/Code', '--standard-schemes=vscode-webview,vscode-file', '--secure-schemes=vscode-webview,vscode-file', '--cors-schemes=vscode-webview,vscode-file', '--fetch-schemes=vscode-webview,vscode-file', '--service-worker-schemes=vscode-webview', '--code-cache-schemes=vscode-webview,vscode-file', '--shared-files=v8_context_snapshot_data:100', '--field-trial-handle=3,i,7369772581480644079,13259302147474375396,262144', '--enable-features=DocumentPolicyIncludeJSCallStacksInCrashReports,EarlyEstablishGpuChannel,EstablishGpuChannelAsync', '--disable-features=CalculateNativeWinOcclusion,FontationsLinuxSystemFonts,ScreenAIOCREnabled,SpareRendererForSitePerProcess', '--variations-seed-version'], 'cpu_percent': 0.0, 'cpu_times': {'children_system': 94.67, 'children_user': 59.27, 'iowait': 0.0, 'system': 100.88, 'user': 472.12}, 'gids': {'effective': 1000, 'real': 1000, 'saved': 1000}, 'io_counters': [924750848, 211476480, 924750848, 211476480, 1, 59437056, 225280, 59437056, 225280, 1, 52170752, 143360, 52170752, 143360, 1, 77351936, 0, 77351936, 0, 1, 24960000, 0, 24960000, 0, 1, 28266496, 456986624, 28266496, 456986624, 1, 16105472, 0, 16105472, 0, 1, 86854656, 22454272, 86854656, 22454272, 1, 4777984, 0, 4777984, 0, 1, 2800640, 0, 2800640, 0, 1, 24943616, 0, 24943616, 0, 1, 974848, 0, 974848, 0, 1, 1802240, 0, 1802240, 0, 1, 3666944, 2473984, 3666944, 2473984, 1, 1212416, 0, 1212416, 0, 1, 1390592, 0, 1390592, 0, 1], 'key': 'pid', 'memory_info': {'data': 3837231104, 'dirty': 0, 'lib': 0, 'rss': 2154180608, 'shared': 54865920, 'text': 148733952, 'vms': 1528129888256}, 'memory_percent': 13.116948481253985, 'name': 'code', 'nice': 0, 'num_threads': 78, 'pid': 14491, 'status': 'S', 'time_since_update': 0.4327235221862793, '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) 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': 1.17724609375, 'min15': 0.916015625, 'min5': 0.97509765625} >>> gl.load.keys() ['min1', 'min5', 'min15', 'cpucore'] >>> gl.load["min1"] 1.17724609375 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=