.PML Přípona souboru
Process Monitor Log File
| Vývojář | Sysinternals |
| Popularita |
3.8 | 13 Hlasů |
Co je soubor PML?
Log file created by Process Monitor, a real-time process monitoring tool for Windows; contains a log of system activities in the file system and registry, as well as in system processes and threads; used for analyzing issues with computer performance and security permissions.
Další informace
PML files save the process name, process ID, operation, path, result, a timestamp, and other information about system events. The log files can be filtered by custom criteria to locate specific information.
Programy, které otevírají nebo odkazují na soubory PML
Palm Markup Language File
| Vývojář | Palm |
| Popularita |
2.0 | 5 Hlasů |
Source file format accessed by eReader, an optimal eBook reader application; contains source code that is compiled into the .PDB file, which can then be read by eReader devices; consists of tags that structure the eBook, examples of this include paragraphs, indents, and font formatting.
Další informace
POZNÁMKA: The zipped format of the PML file is the .PMLZ file.
Programy, které otevírají soubory PML
Pyre Properties File
| Vývojář | CACR |
| Popularita |
1.5 | 2 Hlasů |
Configuration file used by Pyre, Python framework used for integrating high-performance computing applications; saved using XML formatting and includes values for "properties," "facilities," and "components" in an application; enables users to override the default values in an application's "inventories."
Další informace
Pyre is distributed in a source code format and does not include a traditional installer program. An example application that uses Pyre and PML files is DANSE, a software package used for analyzing neutron scattering experiments. Unfortunately, DANSE has been discontinued and is not available for download.
POZNÁMKA: The terms "properties," "facilities," "components," and "inventories" have specific meanings when used to describe parts of the Pyre framework. The Pyre framework was developed by the Caltech Center for Advanced Computing Research (CACR).