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Increase the memory heap of the IDE

Last modified: 25 November 2024

The Java Virtual Machine (JVM) running PyCharm allocates some predefined amount of memory. The default value depends on the platform. If you are experiencing slowdowns, you may want to increase the memory heap.

PyCharm also warns you if the amount of free heap memory after a garbage collection is less than 5% of the maximum heap size:

low memory warning

Click Configure to increase the amount of memory allocated by the JVM. If you are not sure what would be a good value, use the one suggested by PyCharm.

The Memory Settings dialog

Click Save and Restart and wait for PyCharm to restart with the new memory heap setting.

If you are using a standalone instance not managed by the Toolbox App, and you can't start it, it is possible to manually change the -Xmx option that controls the amount of allocated memory. Create a copy of the default JVM options file and change the value of the -Xmx option in it.

Memory parameters specific to a particular service, for example, Docker can be modified through the corresponding run/debug configurations.