.. _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': 305832907, 'guest': 0.0, 'idle': 91.8, 'interrupts': 248220322, 'iowait': 0.4, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 100550229, 'steal': 0.0, 'syscalls': 0, 'system': 4.6, 'total': 5.6, 'user': 3.2} >>> gl.cpu["total"] 5.6 >>> gl.mem["used"] 10240561152 >>> gl.auto_unit(gl.mem["used"]) 9.54G 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': 0, 'bytes_all_gauge': 3100588600, 'bytes_all_rate_per_sec': 0.0, 'bytes_recv': 0, 'bytes_recv_gauge': 2247529593, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 0, 'bytes_sent_gauge': 853059007, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.18211889266967773} 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': 91.4376177192857, 'begin': 1758441568, 'count': 2, 'desc': '', 'end': -1, 'global_msg': 'High swap (paging) usage', 'max': 91.4376177192857, 'min': 91.4376177192857, 'sort': 'memory_percent', 'state': 'CRITICAL', 'sum': 182.8752354385714, 'top': ['code', 'code', 'code'], 'type': 'MEMSWAP'}] 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': 18528616960, 'read_count': 959426, 'read_latency': 0, 'read_time': 284132, 'write_bytes': 26236740608, 'write_count': 2366204, 'write_latency': 0, 'write_time': 2119741} 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': 1, 'sleeping': 431, 'thread': 2464, 'total': 569} >>> gl.processcount.keys() ['total', 'running', 'sleeping', 'thread', 'pid_max'] >>> gl.processcount["total"] 569 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': 56.0, 'interrupt': None, 'iowait': 0.0, 'irq': 0.0, 'key': 'cpu_number', 'nice': 0.0, 'softirq': 0.0, 'steal': 0.0, 'system': 9.0, 'total': 44.0, 'user': 1.0} 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 6.14.0-27-generic', 'linux_distro': 'Ubuntu 24.04', 'os_name': 'Linux', 'os_version': '6.14.0-27-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': 3100588600, 'bytes_all_rate_per_sec': 0.0, 'bytes_recv': 0, 'bytes_recv_gauge': 2247529593, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 0, 'bytes_sent_gauge': 853059007, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.0034186840057373047} 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': 305832907, 'guest': 0.0, 'idle': 91.8, 'interrupts': 248220322, 'iowait': 0.4, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 100550229, 'steal': 0.0, 'syscalls': 0, 'system': 4.6, 'total': 5.6, 'user': 3.2} >>> gl.cpu.keys() ['total', 'user', 'nice', 'system', 'idle', 'iowait', 'irq', 'steal', 'guest', 'ctx_switches', 'interrupts', 'soft_interrupts', 'syscalls', 'cpucore'] >>> gl.cpu["total"] 5.6 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': 0.30202817916870117} 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() [110899, 112061, 22460, 6683, 6059, 7262, 7250, 8474, 448774, 390113, 7258, 5046, 96461, 391029, 6409, 111133, 390871, 390155, 22312, 409614, 21168, 199912, 233089, 18180, 409705, 112323, 221853, 234880, 275603, 344651, 22523, 111268, 111261, 20799, 19815, 21230, 22429, 504380, 504332, 504441, 24044, 507910, 500290, 448971, 22524, 111385, 111384, 111382, 3478, 6003, 240741, 6419, 240742, 22410, 2516, 111284, 724, 111848, 5626, 111192, 22786, 5474, 7068, 12361, 5623, 136828, 111283, 2879, 6388, 5652, 5173, 112290, 5414, 111386, 240756, 6478, 240771, 1, 2511, 111267, 5158, 2616, 4721, 6376, 5284, 2619, 6015, 8698, 111341, 5166, 8639, 5291, 4747, 4744, 5208, 6037, 2539, 5684, 6039, 2719, 4698, 5606, 5343, 5521, 5187, 5580, 2499, 5207, 8086, 448339, 5190, 2828, 4988, 5204, 5235, 3472, 5224, 5201, 4758, 2921, 5447, 5213, 3531, 2534, 5297, 3459, 2376, 5485, 5191, 5421, 5461, 4975, 14662, 5031, 22315, 2846, 24073, 5445, 5170, 5925, 322017, 5228, 4809, 2506, 5547, 2519, 5477, 2498, 5189, 5139, 760, 5221, 5337, 14670, 2523, 107652, 4871, 5218, 4813, 2722, 5231, 2377, 2537, 4985, 2503, 5366, 5429, 22912, 4740, 3617, 5044, 2514, 3483, 4746, 507906, 2497, 3075, 2375, 2665, 476625, 3496, 3358, 4741, 507909, 3359, 67282, 4958, 2521, 2542, 3488, 5851, 2869, 2550, 4960, 4886, 22329, 3363, 4728, 6044, 22314, 111134, 6151, 22835, 2615, 330048, 2854, 2858, 111149, 4820, 3076, 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, 129, 132, 134, 135, 136, 137, 138, 139, 141, 142, 143, 144, 145, 146, 148, 151, 152, 154, 155, 156, 163, 174, 185, 186, 214, 215, 237, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 347, 349, 354, 355, 356, 357, 361, 439, 440, 602, 607, 608, 609, 615, 666, 667, 787, 970, 991, 992, 995, 996, 997, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1137, 1164, 1274, 1331, 1334, 1335, 1336, 1337, 1398, 1399, 1481, 1488, 1833, 1834, 1835, 1836, 1837, 1838, 1839, 1840, 1841, 1842, 1843, 1844, 1845, 1846, 1876, 1877, 1879, 1880, 1881, 1882, 1883, 1884, 1885, 1886, 1887, 1888, 1889, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1984, 1985, 1986, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2003, 2004, 2006, 2007, 2008, 2009, 2010, 2014, 3421, 3422, 3423, 3424, 3793, 233310, 358608, 446510, 448136, 448145, 455365, 455369, 463479, 464074, 464755, 468944, 471022, 471300, 475029, 475987, 476570, 482523, 484291, 484677, 487183, 487213, 487370, 489052, 489373, 490299, 493432, 494056, 494125, 494166, 494638, 495000, 495262, 495276, 495668, 496527, 497602, 497698, 498555, 498684, 500372, 500667, 500805, 501010, 501024, 501025, 501026, 501027, 501217, 501270, 501479, 502852, 505729, 506364, 506417, 506802, 506803, 507295, 507348, 507380, 507500, 507789, 507933] >>> gl.processlist["110899"] {'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=22329', '--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,18224849850816561636,15185484266821424269,262144', '--enable-features=DocumentPolicyIncludeJSCallStacksInCrashReports,EarlyEstablishGpuChannel,EstablishGpuChannelAsync', '--disable-features=CalculateNativeWinOcclusion,FontationsLinuxSystemFonts,ScreenAIOCREnabled,SpareRendererForSitePerProcess', '--variations-seed-version'], 'cpu_percent': 1.9, 'cpu_times': {'children_system': 1117.77, 'children_user': 1369.92, 'iowait': 0.0, 'system': 1272.29, 'user': 4766.5}, 'gids': {'effective': 1000, 'real': 1000, 'saved': 1000}, 'io_counters': [2014217216, 1436655616, 2014217216, 1436655616, 1, 111648768, 688128, 111648768, 688128, 1, 209947648, 413696, 209947648, 413696, 1, 27337728, 4206592, 27337728, 4206592, 1, 3401198592, 1180692480, 3401198592, 1180692480, 1, 93603840, 0, 93603840, 0, 1, 27540480, 1413120, 27540480, 1413120, 1, 346797056, 2969100288, 346797056, 2969100288, 1, 7426048, 8192, 7426048, 8192, 1, 32229376, 0, 32229376, 0, 1, 75408384, 0, 75408384, 0, 1, 1559552, 0, 1559552, 0, 1, 3833856, 0, 3833856, 0, 1, 23600128, 23175168, 23600128, 23175168, 1, 6934528, 0, 6934528, 0, 1, 6627328, 0, 6627328, 0, 1, 1983488, 0, 1983488, 0, 1, 14069760, 0, 14069760, 0, 1, 1885184, 0, 1885184, 0, 1, 2438144, 0, 2438144, 0, 1, 10924032, 0, 10924032, 0, 1, 159744, 8192, 159744, 8192, 1, 2541568, 2846720, 2541568, 2846720, 1, 12880896, 905216, 12880896, 905216, 1, 1271808, 0, 1271808, 0, 1], 'key': 'pid', 'memory_info': {'data': 4763049984, 'dirty': 0, 'lib': 0, 'rss': 2159456256, 'shared': 79568896, 'text': 148705280, 'vms': 1526338510848}, 'memory_percent': 13.149072251547079, 'name': 'code', 'nice': 0, 'num_threads': 58, 'pid': 110899, 'status': 'S', 'time_since_update': 0.5535836219787598, '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': 0.97705078125, 'min15': 1.5791015625, 'min5': 1.697265625} >>> gl.load.keys() ['min1', 'min5', 'min15', 'cpucore'] >>> gl.load["min1"] 0.97705078125 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=