.. _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': 1014335658, 'guest': 0.0, 'idle': 92.7, 'interrupts': 858268609, 'iowait': 0.3, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 362349003, 'steal': 0.0, 'syscalls': 0, 'system': 4.6, 'total': 8.3, 'user': 2.4} >>> gl.cpu.get("total") 8.3 >>> gl.mem.get("used") 11657488408 >>> gl.auto_unit(gl.mem.get("used")) 10.9G 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', 'vethba20a37'] >>> gl.network["wlp0s20f3"] {'alias': None, 'bytes_all': 528, 'bytes_all_gauge': 18884549074, 'bytes_all_rate_per_sec': 1479.0, 'bytes_recv': 0, 'bytes_recv_gauge': 16420594580, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 528, 'bytes_sent_gauge': 2463954494, 'bytes_sent_rate_per_sec': 1479.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.3568460941314697} 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', 'npu', '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': 96.30097990129461, 'begin': 1769266600, 'count': 2, 'desc': '', 'end': -1, 'global_msg': 'High swap (paging) usage', 'max': 96.30097990129461, 'min': 96.30097990129461, 'sort': 'memory_percent', 'state': 'CRITICAL', 'sum': 192.60195980258922, 'top': ['code', 'code', 'code'], 'type': 'MEMSWAP'}, {'avg': 70.92233195034504, 'begin': 1769266600, 'count': 2, 'desc': '', 'end': -1, 'global_msg': 'High swap (paging) usage', 'max': 70.98344961675507, 'min': 70.86121428393503, 'sort': 'memory_percent', 'state': 'WARNING', 'sum': 141.84466390069008, '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': 0.015498, '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': 57722587648, 'read_count': 2168256, 'read_latency': 0, 'read_time': 687196, 'write_bytes': 75159856128, 'write_count': 5532604, 'write_latency': 0, 'write_time': 5273561} 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() ['nats-for-glances'] >>> gl.containers.get("nats-for-glances") {'command': '/nats-server --config nats-server.conf', 'cpu': {'total': 0.0}, 'cpu_percent': 0.0, 'created': '2026-01-17T09:02:16.434433667Z', 'engine': 'docker', 'id': '2af41a66456c7bfdd014aa03e2696354f7aeabbda3a867ed5f7290b74824bd4d', 'image': ('nats:latest',), 'io': {}, 'io_rx': None, 'io_wx': None, 'key': 'name', 'memory': {}, 'memory_inactive_file': None, 'memory_limit': None, 'memory_percent': None, 'memory_usage': None, 'name': 'nats-for-glances', 'network': {}, 'network_rx': None, 'network_tx': None, 'ports': '4222->4222/tcp,6222->6222/tcp,8222->8222/tcp', 'status': 'running', 'uptime': 'a week'} 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': 2358, 'total': 593} >>> gl.processcount.keys() ['total', 'running', 'sleeping', 'thread', 'pid_max'] >>> gl.processcount.get("total") 593 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 npu ----------- Npu stats: .. code-block:: python >>> type(gl.npu) >>> gl.npu [] Npu fields description: * npu_id: NPU identification * name: NPU name * load: NPU load * freq: NPU frequency * freq_current: NPU current frequency * freq_max: NPU maximum frequency * mem: Memory consumption * memory_used: Memory used * memory_total: Memory total * temperature: NPU temperature * power: NPU power consumption Npu limits: .. code-block:: python >>> gl.npu.limits {'history_size': 1200.0, 'npu_disable': ['False'], 'npu_freq_careful': 50.0, 'npu_freq_critical': 90.0, 'npu_freq_warning': 70.0, 'npu_load_careful': 50.0, 'npu_load_critical': 90.0, 'npu_load_warning': 70.0, 'npu_mem_careful': 50.0, 'npu_mem_critical': 90.0, 'npu_mem_warning': 70.0} 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': 44.0, 'interrupt': None, 'iowait': 0.0, 'irq': 0.0, 'key': 'cpu_number', 'nice': 0.0, 'softirq': 0.0, 'steal': 0.0, 'system': 10.0, 'total': 56.0, '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 6.14.0-37-generic', 'linux_distro': 'Ubuntu 24.04', 'os_name': 'Linux', 'os_version': '6.14.0-37-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', 'vethba20a37'] >>> gl.network.get("wlp0s20f3") {'alias': None, 'bytes_all': 0, 'bytes_all_gauge': 18884549074, 'bytes_all_rate_per_sec': 0.0, 'bytes_recv': 0, 'bytes_recv_gauge': 16420594580, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 0, 'bytes_sent_gauge': 2463954494, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.0032455921173095703} 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': 1014335658, 'guest': 0.0, 'idle': 92.7, 'interrupts': 858268609, 'iowait': 0.3, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 362349003, 'steal': 0.0, 'syscalls': 0, 'system': 4.6, 'total': 8.3, 'user': 2.4} >>> gl.cpu.keys() ['total', 'user', 'nice', 'system', 'idle', 'iowait', 'irq', 'steal', 'guest', 'ctx_switches', 'interrupts', 'soft_interrupts', 'syscalls', 'cpucore'] >>> gl.cpu.get("total") 8.3 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.get("Dropbox") {'count': 0, 'countmax': None, 'countmin': 1.0, 'key': 'name', 'name': 'Dropbox', 'refresh': 3.0, 'regex': True, 'result': None, 'timer': 0.31222057342529297} 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() [1, 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, 133, 135, 136, 137, 138, 139, 140, 142, 143, 144, 145, 146, 147, 148, 150, 154, 156, 157, 158, 166, 179, 188, 189, 218, 219, 239, 240, 258, 267, 268, 269, 270, 271, 273, 279, 280, 364, 367, 369, 370, 371, 372, 373, 450, 452, 613, 618, 619, 620, 627, 659, 660, 726, 757, 758, 787, 795, 970, 971, 986, 1037, 1040, 1042, 1043, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1056, 1058, 1059, 1064, 1065, 1218, 1219, 1223, 1275, 1277, 1278, 1279, 1320, 1327, 1534, 1537, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 2007, 2008, 2009, 2010, 2011, 2013, 2014, 2016, 2017, 2018, 2019, 2020, 2021, 2023, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099, 2100, 2101, 2102, 2103, 2104, 2105, 2117, 2122, 2123, 2124, 2125, 2126, 2127, 2128, 2129, 2130, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2149, 2603, 2604, 2605, 2606, 2613, 2615, 2744, 2745, 2746, 2750, 2751, 2755, 2762, 2774, 2788, 2791, 2796, 2799, 2802, 2813, 2820, 2823, 2887, 2904, 2905, 2916, 3031, 3038, 3081, 3181, 3182, 3186, 3191, 3192, 3240, 3382, 3383, 3670, 3671, 3695, 3698, 3807, 3817, 3818, 3822, 3827, 3828, 3846, 3853, 3874, 3901, 3902, 3903, 3904, 3905, 3906, 3907, 3908, 3982, 4194, 4596, 5166, 6562, 36430, 481055, 813640, 813665, 813669, 813681, 813682, 813683, 813685, 813687, 813689, 813699, 813749, 813753, 813760, 813779, 813795, 813873, 813876, 813892, 813903, 813906, 813949, 813962, 813963, 814046, 814083, 814091, 814092, 814106, 814107, 814128, 814129, 814130, 814133, 814135, 814138, 814140, 814143, 814147, 814150, 814152, 814156, 814158, 814162, 814170, 814177, 814191, 814192, 814284, 814293, 814295, 814306, 814324, 814353, 814356, 814384, 814388, 814397, 814410, 814429, 814438, 814507, 814547, 814577, 814588, 814592, 814614, 814657, 814874, 814875, 814918, 814987, 814992, 815007, 815154, 815196, 815236, 815252, 815324, 815555, 815952, 815959, 815967, 816178, 816198, 816205, 816560, 816572, 818223, 818964, 820306, 896873, 929174, 1046355, 1046357, 1046358, 1046373, 1046415, 1046473, 1046506, 1046561, 1046578, 1046579, 1046654, 1046695, 1046913, 1047076, 1047144, 1047145, 1047146, 1047147, 1047434, 1047704, 1047831, 1048026, 1060640, 1060641, 1060689, 1060886, 1060909, 1081783, 1081790, 1081799, 1081805, 1081812, 1081818, 1081850, 1081870, 1085550, 1085551, 1085606, 1085617, 1117073, 1119112, 1136053, 1158334, 1158351, 1158371, 1158400, 1158403, 1166781, 1180098, 1182119, 1182137, 1182599, 1182609, 1213837, 1300201, 1304473, 1314746, 1318703, 1438249, 1438258, 1439516, 1482241, 1485933, 1486694, 1498986, 1499967, 1500040, 1500326, 1525118, 1525294, 1527944, 1528280, 1532016, 1534204, 1534935, 1535982, 1537632, 1540951, 1541077, 1541078, 1541147, 1543414, 1545624, 1545828, 1546058, 1547107, 1547208, 1547948, 1548050, 1548613, 1548919, 1549566, 1549583, 1550162, 1550198, 1550412, 1551649, 1553035, 1553406, 1555791, 1555903, 1555905, 1555940, 1556357, 1556358, 1556359, 1556916, 1557037, 1557038, 1557229, 1557947, 1558143, 1558218, 1558369, 1558919, 1559446, 1559583, 1559615, 1559629, 1559636, 1559719, 1560951, 1561060, 1561061, 1561062, 1561063, 1561064, 1561065, 1561186, 1561408, 1561565, 1561920, 1561923, 1561924, 1561927, 1561936] >>> gl.processlist.get("1") {'cmdline': ['/sbin/init', 'splash'], 'cpu_percent': 0.0, 'cpu_times': {'children_system': 11430.29, 'children_user': 47200.42, 'iowait': 0.0, 'system': 19.1, 'user': 31.52}, 'gids': {'effective': 0, 'real': 0, 'saved': 0}, 'io_counters': [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'key': 'pid', 'memory_info': {'data': 7282688, 'dirty': 0, 'lib': 0, 'rss': 12267520, 'shared': 5718016, 'text': 45056, 'vms': 26632192}, 'memory_percent': 0.07469798445134641, 'name': 'systemd', 'nice': 0, 'num_threads': 1, 'pid': 1, 'status': 'S', 'time_since_update': 0.6637520790100098, 'username': 'root'} 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': 0.46826171875, 'min15': 0.962890625, 'min5': 0.8310546875} >>> gl.load.keys() ['min1', 'min5', 'min15', 'cpucore'] >>> gl.load.get("min1") 0.46826171875 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=