Python API Overview

The purpose of this document is to explain how Python and Blender fit together, covering some of the functionality that may not be obvious from reading the API references and example scripts.

Python in Blender

Blender has an embedded Python interpreter which is loaded when Blender is started and stays active while Blender is running. This interpreter runs scripts to draw the user interface and is used for some of Blender’s internal tools as well.

Blender’s embedded interpreter provides a typical Python environment, so code from tutorials on how to write Python scripts can also be run with Blender’s interpreter. Blender provides its Python modules, such as bpy and mathutils, to the embedded interpreter so they can be imported into a script and give access to Blender’s data, classes, and functions. Scripts that deal with Blender data will need to import the modules to work.

Here is a simple example which moves a vertex attached to an object named Cube:

import bpy["Cube"].data.vertices[0].co.x += 1.0

This modifies Blender’s internal data directly. When you run this in the interactive console you will see the 3D viewport update.

The Default Environment

When developing your own scripts it may help to understand how Blender sets up its Python environment. Many Python scripts come bundled with Blender and can be used as a reference because they use the same API that script authors write tools in. Typical usage for scripts include: user interface, import/export, scene manipulation, automation, defining your own toolset and customization.

On startup Blender scans the scripts/startup/ directory for Python modules and imports them. The exact location of this directory depends on your installation. See the directory layout docs.

Script Loading

This may seem obvious, but it is important to note the difference between executing a script directly and importing a script as a module.

Extending Blender by executing a script directly means the classes that the script defines remain available inside Blender after the script finishes execution. Using scripts this way makes future access to their classes (to unregister them for example) more difficult compared to importing the scripts as modules. When a script is imported as a module, its class instances will remain inside the module and can be accessed later on by importing that module again.

For this reason it is preferable to avoid directly executing scripts that extend Blender by registering classes.

Here are some ways to run scripts directly in Blender.

  • Loaded in the text editor and press Run Script.

  • Typed or pasted into the interactive console.

  • Execute a Python file from the command line with Blender, eg:

    blender --python /home/me/

To run as modules:

  • The obvious way, import some_module command from the text window or interactive console.
  • Open as a text block and tick “Register” option, this will load with the blend file.
  • copy into one of the directories scripts/startup, where they will be automatically imported on startup.
  • define as an add-on, enabling the add-on will load it as a Python module.


Some of Blenders functionality is best kept optional, alongside scripts loaded at startup we have add-ons which are kept in their own directory scripts/addons, and only load on startup if selected from the user preferences.

The only difference between add-ons and built-in Python modules is that add-ons must contain a bl_info variable which Blender uses to read metadata such as name, author, category and URL.

The User Preferences add-on listing uses bl_info to display information about each add-on.

See Add-ons for details on the bl_info dictionary.

Integration through Classes

Running Python scripts in the text editor is useful for testing but you’ll want to extend Blender to make tools accessible like other built-in functionality.

The Blender Python api allows integration for:

This is intentionally limited. Currently, for more advanced features such as mesh modifiers, object types, or shader nodes, C/C++ must be used.

For Python integration Blender defines methods which are common to all types. This works by creating a Python subclass of a Blender class which contains variables and functions specified by the parent class which are pre-defined to interface with Blender.

For example:

import bpy
class SimpleOperator(bpy.types.Operator):
    bl_idname = "object.simple_operator"
    bl_label = "Tool Name"

    def execute(self, context):
        print("Hello World")
        return {'FINISHED'}


First note that we subclass a member of bpy.types, this is common for all classes which can be integrated with Blender and used so we know if this is an Operator and not a Panel when registering.

Both class properties start with a bl_ prefix. This is a convention used to distinguish Blender properties from those you add yourself.

Next see the execute function, which takes an instance of the operator and the current context. A common prefix is not used for functions.

Lastly the register function is called, this takes the class and loads it into Blender. See Class Registration.

Regarding inheritance, Blender doesn’t impose restrictions on the kinds of class inheritance used, the registration checks will use attributes and functions defined in parent classes.

class mix-in example:

import bpy
class BaseOperator:
    def execute(self, context):
        print("Hello World BaseClass")
        return {'FINISHED'}

class SimpleOperator(bpy.types.Operator, BaseOperator):
    bl_idname = "object.simple_operator"
    bl_label = "Tool Name"


Notice these classes don’t define an __init__(self) function. While __init__() and __del__() will be called if defined, the class instances lifetime only spans the execution. So a panel for example will have a new instance for every redraw, for this reason there is rarely a cause to store variables in the panel instance. Instead, persistent variables should be stored in Blenders ata so that the state can be restored when Blender is restarted.


Modal operators are an exception, keeping their instance variable as Blender runs, see modal operator template.

So once the class is registered with Blender, instancing the class and calling the functions is left up to Blender. In fact you cannot instance these classes from the script as you would expect with most Python API’s.

To run operators you can call them through the operator api, eg:

import bpy

User interface classes are given a context in which to draw, buttons window, file header, toolbar etc, then they are drawn when that area is displayed so they are never called by Python scripts directly.


Module Registration

Blender modules loaded at startup require register() and unregister() functions. These are the only functions that Blender calls from your code, which is otherwise a regular Python module.

A simple Blender/Python module can look like this:

import bpy

class SimpleOperator(bpy.types.Operator):
    """ See example above """

def register():

def unregister():

if __name__ == "__main__":

These functions usually appear at the bottom of the script containing class registration sometimes adding menu items. You can also use them for internal purposes setting up data for your own tools but take care since register won’t re-run when a new blend file is loaded.

The register/unregister calls are used so it’s possible to toggle add-ons and reload scripts while Blender runs. If the register calls were placed in the body of the script, registration would be called on import, meaning there would be no distinction between importing a module or loading its classes into Blender.

This becomes problematic when a script imports classes from another module making it difficult to manage which classes are being loaded and when.

The last 2 lines are only for testing:

if __name__ == "__main__":

This allows the script to be run directly in the text editor to test changes. This register() call won’t run when the script is imported as a module since __main__ is reserved for direct execution.

Class Registration

Registering a class with Blender results in the class definition being loaded into Blender, where it becomes available alongside existing functionality.

Once this class is loaded you can access it from bpy.types, using the bl_idname rather than the classes original name.

When loading a class, Blender performs sanity checks making sure all required properties and functions are found, that properties have the correct type, and that functions have the right number of arguments.

Mostly you will not need concern yourself with this but if there is a problem with the class definition it will be raised on registering:

Using the function arguments def execute(self, context, spam), will raise an exception:

ValueError: expected Operator, SimpleOperator class "execute" function to have 2 args, found 3

Using bl_idname = 1 will raise.

TypeError: validating class error: Operator.bl_idname expected a string type, not int


Loading classes into Blender is described above, for simple cases calling bpy.utils.register_class (SomeClass) is sufficient, but when there are many classes or a packages submodule has its own classes it can be tedious to list them all for registration.

For more convenient loading/unloading bpy.utils.register_module (module) and bpy.utils.unregister_module (module) functions exist.

A script which defines many of its own operators, panels menus etc. you only need to write:

def register():

def unregister():

Internally Blender collects subclasses on registrable types, storing them by the module in which they are defined. By passing the module name to bpy.utils.register_module Blender can register all classes created by this module and its submodules.

Inter Classes Dependencies

When customizing Blender you may want to group your own settings together, after all, they will likely have to co-exist with other scripts. To group these properties classes need to be defined, for groups within groups or collections within groups you can find yourself having to deal with order of registration/unregistration.

Custom properties groups are themselves classes which need to be registered.

Say you want to store material settings for a custom engine.

# Create new property
import bpy

class MyMaterialProps(bpy.types.PropertyGroup):
    my_float = bpy.props.FloatProperty()

def register():
    bpy.types.Material.my_custom_props = bpy.props.PointerProperty(type=MyMaterialProps)

def unregister():
    del bpy.types.Material.my_custom_props

if __name__ == "__main__":


The class must be registered before being used in a property, failing to do so will raise an error:

ValueError: bpy_struct "Material" registration error: my_custom_props could not register

# Create new property group with a sub property
import bpy

class MyMaterialSubProps(bpy.types.PropertyGroup):
    my_float = bpy.props.FloatProperty()

class MyMaterialGroupProps(bpy.types.PropertyGroup):
    sub_group = bpy.props.PointerProperty(type=MyMaterialSubProps)

def register():
    bpy.types.Material.my_custom_props = bpy.props.PointerProperty(type=MyMaterialGroupProps)

def unregister():
    del bpy.types.Material.my_custom_props

if __name__ == "__main__":


The lower most class needs to be registered first and that unregister() is a mirror of register()

Manipulating Classes

Properties can be added and removed as Blender runs, normally happens on register or unregister but for some special cases it may be useful to modify types as the script runs.

For example:

# add a new property to an existing type
bpy.types.Object.my_float = bpy.props.FloatProperty()
# remove
del bpy.types.Object.my_float

This works just as well for PropertyGroup subclasses you define yourself.

class MyPropGroup(bpy.types.PropertyGroup):
MyPropGroup.my_float = bpy.props.FloatProperty()

...this is equivalent to:

class MyPropGroup(bpy.types.PropertyGroup):
    my_float = bpy.props.FloatProperty()

Dynamic Defined-Classes (Advanced)

In some cases the specifier for data may not be in Blender, renderman shader definitions for example, and it may be useful to define them as types and remove them on the fly.

for i in range(10):
    idname = "object.operator_%d" % i

    def func(self, context):
        print("Hello World", self.bl_idname)
        return {'FINISHED'}

    opclass = type("DynOp%d" % i,
                   (bpy.types.Operator, ),
                   {"bl_idname": idname, "bl_label": "Test", "execute": func},


type() is called to define the class. This is an alternative syntax for class creation in Python, better suited to constructing classes dynamically.

To call the operators from the previous example:

>>> bpy.ops.object.operator_1()
Hello World OBJECT_OT_operator_1
>>> bpy.ops.object.operator_2()
Hello World OBJECT_OT_operator_2