.. _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': 46085823, 'guest': 0.0, 'idle': 93.6, 'interrupts': 26310691, 'iowait': 0.4, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 13059668, 'steal': 0.0, 'syscalls': 0, 'system': 4.4, 'total': 5.9, 'user': 1.5} >>> gl.cpu.get("total") 5.9 >>> gl.mem.get("used") 8459125432 >>> gl.auto_unit(gl.mem.get("used")) 7.88G 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', 'vethc98be9d'] >>> gl.network["wlp0s20f3"] {'alias': None, 'bytes_all': 0, 'bytes_all_gauge': 1852099268, 'bytes_all_rate_per_sec': 0.0, 'bytes_recv': 0, 'bytes_recv_gauge': 1770765857, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 0, 'bytes_sent_gauge': 81333411, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.17501330375671387} Init Glances Python API ----------------------- Init the Glances API: .. code-block:: python >>> from glances import api >>> gl = api.GlancesAPI() Get Glances plugins list ------------------------ Get the plugins list: .. code-block:: python >>> gl.plugins() ['alert', 'ports', 'diskio', 'containers', 'processcount', 'programlist', 'gpu', 'percpu', 'system', 'network', 'cpu', 'amps', 'processlist', 'load', 'sensors', 'uptime', 'now', 'fs', 'wifi', 'ip', 'help', 'version', 'psutilversion', 'core', 'mem', 'folders', 'quicklook', 'memswap'] Glances alert ------------- Alert stats: .. code-block:: python >>> type(gl.alert) >>> gl.alert [] Alert fields description: * begin: Begin timestamp of the event * end: End timestamp of the event (or -1 if ongoing) * state: State of the event (WARNING|CRITICAL) * type: Type of the event (CPU|LOAD|MEM) * max: Maximum value during the event period * avg: Average value during the event period * min: Minimum value during the event period * sum: Sum of the values during the event period * count: Number of values during the event period * top: Top 3 processes name during the event period * desc: Description of the event * sort: Sort key of the top processes * global_msg: Global alert message Alert limits: .. code-block:: python >>> gl.alert.limits {'alert_disable': ['False'], 'history_size': 1200.0} Glances ports ------------- Ports stats: .. code-block:: python >>> type(gl.ports) >>> gl.ports [{'description': 'DefaultGateway', 'host': '192.168.0.254', 'indice': 'port_0', 'port': 0, 'refresh': 30, 'rtt_warning': None, 'status': 0.005473, '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': 6421974528, 'read_count': 228749, 'read_latency': 0, 'read_time': 36036, 'write_bytes': 6594712576, 'write_count': 233974, 'write_latency': 0, 'write_time': 347445} 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() ['confident_swirles'] >>> gl.containers.get("confident_swirles") {'command': '/bin/sh -c /venv/bin/python${PYTHON_VERSION} -m glances ' '${GLANCES_OPT}', 'cpu': {'total': 0.0}, 'cpu_limit': None, 'cpu_percent': 0.0, 'created': '2026-02-08T13:57:45.724222229Z', 'engine': 'docker', 'id': 'eea098d4b63ec6734bd66b5b9d34f54497733d2250bc1cc66de904d9c4a0bc48', 'image': ('nicolargo/glances:latest-full',), 'io': {}, 'io_rx': None, 'io_wx': None, 'key': 'name', 'memory': {}, 'memory_inactive_file': None, 'memory_limit': None, 'memory_percent': None, 'memory_usage': None, 'name': 'confident_swirles', 'network': {}, 'network_rx': None, 'network_tx': None, 'ports': '61208->61208/tcp,61209->61209/tcp', 'status': 'running', 'uptime': '5 days'} 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 * cpu_limit: Container CPU limit * 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, Podman, and LXD 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': 407, 'thread': 1893, 'total': 553} >>> gl.processcount.keys() ['total', 'running', 'sleeping', 'thread', 'pid_max'] >>> gl.processcount.get("total") 553 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': 27.0, 'interrupt': None, 'iowait': 0.0, 'irq': 0.0, 'key': 'cpu_number', 'nice': 0.0, 'softirq': 1.0, 'steal': 0.0, 'system': 8.0, 'total': 73.0, '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 6.17.0-29-generic', 'linux_distro': 'Ubuntu 24.04', 'os_name': 'Linux', 'os_version': '6.17.0-29-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', 'vethc98be9d'] >>> gl.network.get("wlp0s20f3") {'alias': None, 'bytes_all': 0, 'bytes_all_gauge': 1852099268, 'bytes_all_rate_per_sec': 0.0, 'bytes_recv': 0, 'bytes_recv_gauge': 1770765857, 'bytes_recv_rate_per_sec': 0.0, 'bytes_sent': 0, 'bytes_sent_gauge': 81333411, 'bytes_sent_rate_per_sec': 0.0, 'interface_name': 'wlp0s20f3', 'key': 'interface_name', 'speed': 0, 'time_since_update': 0.002991199493408203} 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': 46085823, 'guest': 0.0, 'idle': 93.6, 'interrupts': 26310691, 'iowait': 0.4, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 13059668, 'steal': 0.0, 'syscalls': 0, 'system': 4.4, 'total': 5.9, 'user': 1.5} >>> gl.cpu.keys() ['total', 'user', 'nice', 'system', 'idle', 'iowait', 'irq', 'steal', 'guest', 'ctx_switches', 'interrupts', 'soft_interrupts', 'syscalls', 'cpucore'] >>> gl.cpu.get("total") 5.9 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': 0.22232937812805176} 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() [75255, 129, 50158, 9811, 3995, 6946, 9903, 7208, 7291, 7298, 10697, 5767, 6193, 11191, 12883, 7250, 9634, 11124, 15754, 6406, 7218, 9902, 9654, 9901, 9846, 8483, 9994, 9696, 10433, 10717, 4729, 9740, 9666, 74225, 73684, 74785, 6007, 71693, 10597, 5923, 7991, 56765, 6229, 9636, 9637, 3420, 14940, 2985, 6404, 75252, 6144, 7194, 7191, 6728, 6295, 6127, 9082, 10713, 6439, 5938, 6468, 7362, 5954, 3414, 9690, 5465, 5955, 5907, 3090, 5943, 785, 5986, 3991, 5722, 5951, 3018, 5463, 5459, 1, 5591, 2959, 4690, 6129, 3445, 6393, 3023, 3020, 6649, 5443, 2934, 3843, 4001, 5940, 5978, 3241, 5945, 6044, 3386, 2971, 3091, 5965, 48545, 5467, 5422, 3978, 3373, 3844, 5983, 6357, 6182, 51523, 4062, 51513, 3007, 823, 5949, 6033, 5980, 5701, 6244, 3244, 2992, 5536, 2965, 2935, 5769, 6322, 2954, 6234, 3012, 6203, 5896, 6148, 5717, 2933, 6126, 27554, 8492, 6205, 5941, 3001, 5971, 5671, 2953, 6254, 5478, 5972, 5540, 5576, 10234, 10369, 5926, 3115, 2979, 10444, 5460, 71124, 5685, 5785, 4798, 4805, 4828, 2952, 4820, 2932, 5450, 2958, 4166, 9651, 7061, 2944, 2996, 75248, 71069, 4003, 4010, 4026, 3609, 75273, 4007, 5547, 4015, 51566, 75251, 3396, 2942, 3398, 3087, 3610, 3890, 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, 37, 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, 132, 134, 135, 136, 137, 138, 140, 141, 142, 143, 144, 145, 146, 147, 148, 151, 153, 156, 157, 158, 159, 178, 179, 206, 210, 211, 230, 232, 235, 236, 237, 240, 244, 268, 270, 271, 353, 358, 361, 362, 363, 364, 443, 445, 446, 675, 676, 679, 680, 685, 718, 719, 816, 817, 848, 1031, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1112, 1315, 1333, 1334, 1355, 1376, 1377, 1378, 1379, 1463, 1546, 1619, 1621, 1681, 1686, 2131, 2132, 2133, 2134, 2135, 2136, 2137, 2138, 2139, 2140, 2141, 2142, 2143, 2144, 2145, 2146, 2147, 2148, 2149, 2179, 2180, 2181, 2182, 2183, 2184, 2186, 2187, 2189, 2190, 2220, 2221, 2222, 2223, 2224, 2225, 2226, 2227, 2228, 2229, 2230, 2231, 2232, 2233, 2234, 2235, 2236, 2237, 2238, 2239, 2240, 2241, 2242, 2243, 2246, 2247, 2248, 2249, 2250, 2251, 2252, 2253, 2254, 2255, 2256, 2257, 2258, 2259, 2260, 2261, 2262, 2263, 2264, 2265, 2266, 2267, 2268, 2269, 2270, 2274, 2283, 2284, 2285, 2290, 2291, 2292, 2293, 2294, 2295, 2296, 2297, 2298, 2300, 2301, 2302, 2303, 2304, 2305, 2307, 2308, 2310, 2312, 2315, 4043, 4084, 4085, 4086, 4087, 4088, 4089, 4090, 4091, 4334, 6831, 9240, 16696, 39106, 40800, 42611, 42694, 42970, 48917, 50264, 51807, 52574, 54869, 54929, 57389, 59087, 60099, 61814, 63427, 63595, 63598, 63627, 64969, 67715, 67846, 67903, 67904, 68842, 69061, 69336, 69436, 69811, 69836, 69984, 70374, 70905, 70995, 70996, 70997, 70998, 71001, 71002, 71003, 71004, 71005, 71007, 71008, 71009, 71010, 71011, 71557, 71558, 72333, 73213, 75075, 75076, 75099] >>> gl.processlist.get("75255") {'cmdline': ['/home/nicolargo/dev/glances/.venv/bin/python3', '-m', 'glances', '-C', 'conf/glances.conf', '--api-doc'], 'cpu_percent': 75.6, 'cpu_times': {'children_system': 0.01, 'children_user': 0.0, 'iowait': 0.0, 'system': 0.44, 'user': 0.38}, 'gids': {'effective': 1000, 'real': 1000, 'saved': 1000}, 'io_counters': [0, 8192, 0, 8192, 1], 'key': 'pid', 'memory_info': {'data': 124387328, 'dirty': 0, 'lib': 0, 'rss': 94289920, 'shared': 23633920, 'text': 31211520, 'vms': 585416704}, 'memory_percent': 0.5741961441057718, 'name': 'python3', 'nice': 0, 'num_threads': 5, 'pid': 75255, 'status': 'R', 'time_since_update': 0.4991872310638428, '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': 0.56005859375, 'min15': 0.61669921875, 'min5': 0.6103515625} >>> gl.load.keys() ['min1', 'min5', 'min15', 'cpucore'] >>> gl.load.get("min1") 0.56005859375 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=