psutil

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

psutil has 27 facts recorded in Dontopedia across 8 references, with 4 live disagreements.

27 facts·11 predicates·8 sources·4 in dispute

Mostly:rdf:type(8), provides function(4), provides(4)

Inbound mentions (11)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

`isInvokedOn`Is Invoked on(3)

Cpu Percent Callex:cpu_percent-call
Disk Io Counters Callex:disk_io_counters-call
Virtual Memory Callex:virtual_memory-call

`uses`Uses(3)

Code Snippetex:code-snippet
Memory Monitoring Techniqueex:memory-monitoring-technique
Process Memory Monitoringex:process-memory-monitoring

`containsImport`Contains Import(1)

Memory Monitoring Sectionex:memory-monitoring-section

`implementedBy`Implemented by(1)

Monitor Resource Usageex:monitor-resource-usage

`imports`Imports(1)

Code Snippetex:code-snippet

`importsModule`Imports Module(1)

Example Implementationex:example-implementation

`usesPsutil`Uses Psutil(1)

Monitor Resource Usageex:monitor_resource_usage

Other facts (25)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

25 facts

Predicate	Value	Ref
Rdf:type	Python Module	[1]
Rdf:type	Python Library	[2]
Rdf:type	Python Module	[4]
Rdf:type	Python Module	[5]
Rdf:type	Third Party Library	[5]
Rdf:type	Python Module	[6]
Rdf:type	Python Module	[7]
Rdf:type	Python Module	[8]
Provides Function	Cpu Percent Call	[1]
Provides Function	Virtual Memory Call	[1]
Provides Function	Disk Io Counters Call	[1]
Provides Function	Net Io Counters Call	[1]
Provides	Psutil Virtual Memory	[4]
Provides	Memory Info Function	[5]
Provides	Process Monitoring Functions	[6]
Provides	Process Class	[7]
Imported in	Example Implementation	[6]
Imported in	Example Implementation	[8]
Python Package	psutil	[2]
Purpose	system monitoring	[2]
Related to	Monitor Resource Usage	[2]
Used in	Monitor Resource Usage	[2]
Used by	Monitor Resource Usage	[3]
Used for	Get Process Info	[7]
Has Attribute	Process Class	[7]

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

27 undated

—

typebeam/422c5092-e3eb-4953-950c-41fdd234c0c8

ex:PythonModule

—

labelbeam/422c5092-e3eb-4953-950c-41fdd234c0c8

psutil

—

providesFunctionbeam/422c5092-e3eb-4953-950c-41fdd234c0c8

ex:cpu_percent-call

—

providesFunctionbeam/422c5092-e3eb-4953-950c-41fdd234c0c8

ex:virtual_memory-call

—

providesFunctionbeam/422c5092-e3eb-4953-950c-41fdd234c0c8

ex:disk_io_counters-call

—

providesFunctionbeam/422c5092-e3eb-4953-950c-41fdd234c0c8

ex:net_io_counters-call

—

typebeam/113f2f2c-ba09-4d9e-bd2e-2bb87a69f55e

ex:PythonLibrary

—

pythonPackagebeam/113f2f2c-ba09-4d9e-bd2e-2bb87a69f55e

psutil

—

purposebeam/113f2f2c-ba09-4d9e-bd2e-2bb87a69f55e

system monitoring

—

relatedTobeam/113f2f2c-ba09-4d9e-bd2e-2bb87a69f55e

ex:monitor-resource-usage

—

usedInbeam/113f2f2c-ba09-4d9e-bd2e-2bb87a69f55e

ex:monitor-resource-usage

—

usedBybeam/37a12805-3cc4-4be6-ac7b-3001d1e16078

ex:monitor_resource_usage

—

typebeam/46073acc-6b04-4701-bd7b-e0db2b09431d

ex:PythonModule

—

providesbeam/46073acc-6b04-4701-bd7b-e0db2b09431d

ex:psutil-virtual-memory

—

typebeam/b343885a-5d24-4600-9c32-59e613a4b8ef

ex:PythonModule

—

providesbeam/b343885a-5d24-4600-9c32-59e613a4b8ef

ex:memory-info-function

—

typebeam/b343885a-5d24-4600-9c32-59e613a4b8ef

ex:ThirdPartyLibrary

—

typebeam/42c318a3-df7f-42d3-a283-7117834b67fa

ex:PythonModule

—

importedInbeam/42c318a3-df7f-42d3-a283-7117834b67fa

ex:example-implementation

—

providesbeam/42c318a3-df7f-42d3-a283-7117834b67fa

ex:process-monitoring-functions

—

typebeam/d0368cc9-7455-4148-b199-d699f445d354

ex:PythonModule

—

labelbeam/d0368cc9-7455-4148-b199-d699f445d354

psutil

—

usedForbeam/d0368cc9-7455-4148-b199-d699f445d354

ex:get-process-info

—

providesbeam/d0368cc9-7455-4148-b199-d699f445d354

ex:Process-class

—

hasAttributebeam/d0368cc9-7455-4148-b199-d699f445d354

ex:process-class

—

typebeam/1f77e62d-0578-4270-a9d5-247d1a00c1e9

ex:PythonModule

—

importedInbeam/1f77e62d-0578-4270-a9d5-247d1a00c1e9

ex:example-implementation

References (8)

8 references

[1]422c5092 E3eb 4953 950c 41fdd234c0c86 facts
ctx:claims/beam/422c5092-e3eb-4953-950c-41fdd234c0c8
- full textbeam-chunk
  text/plain1 KBdoc:beam/422c5092-e3eb-4953-950c-41fdd234c0c8
  Show excerpt
  # Configure logging logging.basicConfig(filename='performance.log', level=logging.INFO, format='%(asctime)s %(message)s') # Function to monitor system performance def monitor_performance(interval=1): while True: cpu_usage = psu…
[2]113f2f2c Ba09 4d9e Bd2e 2bb87a69f55e5 facts
ctx:claims/beam/113f2f2c-ba09-4d9e-bd2e-2bb87a69f55e
- full textbeam-chunk
  text/plain1 KBdoc:beam/113f2f2c-ba09-4d9e-bd2e-2bb87a69f55e
  Show excerpt
  2. **Profile the Code**: Use profiling tools to identify bottlenecks. 3. **Monitor Resource Usage**: Track CPU, memory, and I/O usage to understand resource consumption. 4. **Log Detailed Metrics**: Capture detailed metrics for analysis. 5.…
[3]37a12805 3cc4 4be6 Ac7b 3001d1e160781 fact
ctx:claims/beam/37a12805-3cc4-4be6-ac7b-3001d1e16078
[4]46073acc 6b04 4701 Bd7b E0db2b09431d2 facts
ctx:claims/beam/46073acc-6b04-4701-bd7b-e0db2b09431d
- full textbeam-chunk
  text/plain1 KBdoc:beam/46073acc-6b04-4701-bd7b-e0db2b09431d
  Show excerpt
  # Search the vectors using a vector search algorithm results = search_algorithm(query) # Log memory usage after the search mem_after = psutil.virtual_memory().used logging.debug(f"Memory usage after …
[5]B343885a 5d24 4600 9c32 59e613a4b8ef3 facts
ctx:claims/beam/b343885a-5d24-4600-9c32-59e613a4b8ef
- full textbeam-chunk
  text/plain1 KBdoc:beam/b343885a-5d24-4600-9c32-59e613a4b8ef
  Show excerpt
  [Turn 8436] User: I'm trying to optimize the memory usage for my dense tuning process, and I've capped the tuning memory at 2.2GB, which has helped reduce spikes by 18% for 7,000 queries. However, I'm wondering if there's a way to further o…
[6]42c318a3 Df7f 42d3 A283 7117834b67fa3 facts
ctx:claims/beam/42c318a3-df7f-42d3-a283-7117834b67fa
- full textbeam-chunk
  text/plain1 KBdoc:beam/42c318a3-df7f-42d3-a283-7117834b67fa
  Show excerpt
  Load data only when necessary. This can be particularly useful if you are dealing with large datasets that do not fit into memory all at once. ### 7. **Reduce Redundant Computations** Avoid redundant computations by storing and reusing res…
[7]D0368cc9 7455 4148 B199 D699f445d3545 facts
ctx:claims/beam/d0368cc9-7455-4148-b199-d699f445d354
- full textbeam-chunk
  text/plain1 KBdoc:beam/d0368cc9-7455-4148-b199-d699f445d354
  Show excerpt
  Can someone help me figure out how to implement the `limit_memory_usage` and `reduce_memory_spikes` functions? ->-> 4,17 [Turn 8637] Assistant: Certainly! To optimize memory usage and reduce memory spikes, you can implement several strateg…
[8]1f77e62d 0578 4270 A9d5 247d1a00c1e92 facts
ctx:claims/beam/1f77e62d-0578-4270-a9d5-247d1a00c1e9

Keep researching

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psutil

Inbound mentions (11)

isInvokedOnIs Invoked on(3)

usesUses(3)

containsImportContains Import(1)

implementedByImplemented by(1)

importsImports(1)

importsModuleImports Module(1)

usesPsutilUses Psutil(1)

Other facts (25)

Timeline

References (8)

See also

Keep researching

`isInvokedOn`Is Invoked on(3)

`uses`Uses(3)

`containsImport`Contains Import(1)

`implementedBy`Implemented by(1)

`imports`Imports(1)

`importsModule`Imports Module(1)

`usesPsutil`Uses Psutil(1)