Introducing raster analysis in ModelBuilder beta, to support automated workflows that combine raster and feature analysis in a single model.

Explore the November 2026 ArcGIS Online imagery update, including raster analysis in ModelBuilder, image change detection, and scatterplot enhancements.

I have published a free, MIT-licensed Python toolbox for ArcGIS Pro. One coordinate in, a full river-basin analysis out. Fourteen tools — one runs everything, the other thirteen do a single piece each, so they work in ModelBuilder. It delineates the basin, downloads elevation, land cover, soil, rainfall, surface water and…

Learn how to automate repetitive GIS workflows in ArcGIS Pro using Tasks, ModelBuilder, Python, arcpy.mp, and Workflow Manager.

I have a custom geoprocessing tool built by ModelBuilder. The tool copies some feature classes to scratch.gdb and then join with other tables, finally export to some other feature classes. The tool has been run fine last few year. But exception occurred last week, INFO - 2026-09-25 04:06:08,930 - Traceback (most recent…

I'm having trouble trying to understand how field mapping works in ArcPy. I'm relatively new to Python. In the below example, I want to take a shapefile and append it to a feature class but I want to use the field map parameter so the fields from the shapefile go to the correct field names in the feature class. I successfully built this out in ModelBuilder and exported the Python script (see below) but so much of it doesn't make sense. For example, what are all these different codes... -1, 0, #, true, false, etc? There seems to be no documentation anywhere online on the meaning behind these codes. I read that I can use the fieldmapping() class as a parameter in this script but have been unable to incorporate that? If you know a much easier way (via python) to field map then using the above methods, I'm open to those suggestions. The code below is only a simple test that I created, so I can hopefully understand field mapping better but in the long run I want to this to be able to handle a LOT of fields from many different shapefiles. Source shapefile schema: Name, Code, Date Target feature class schema: Description, Num, Date # Import arcpy module import arcpy # Local variables: New_Shapefile_shp = "C:\\New_Shapefile.shp" New_Featureclass__2_ = New_Shapefile_shp New_Featureclass = "C:\\Target.gdb\\New_Featureclass" # Process: Append arcpy.Append_management("C:\\New_Shapefile.shp", New_Featureclass, "NO_TEST", "DESCRIPTION \"DESCRIPTION\" true true false 150 Text 0 0 ,First,#,C:\\New_Shapefile.shp,Name,-1,-1;NUM \"NUM\" true true false 4 Long 0 0 ,First,#,C:\\New_Shapefile.shp,Code,-1,-1;DATE \"DATE\" true true false 8 Date 0 0 ,First,#,C:\\New_Shapefile.shp,Date,-1,-1", "")

The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a scikit-learn Random Forest and a multi-GPU Stable Diffusion 3.5 LoRA fine-tune, showing how SourceCode syncs your local code into any container at runtime so you can iterate without rebuilding Docker images.

In ArcGIS Pro I want to delete all non-required fields from a table using ModelBuilder. The number of fields will be variable since it will the product of multiple Union functions. Is there a way to do this via Wildcard? All the fields I want to keep start with SignalV followed by a number.

I've created a model in ArcGIS Pro ModelBuilder which attempts to carry out the following: * Variable: Database connection (sql server) * Make Query Layer (input = Database Connection, output = "Dwellings SQL") * Make Feature Layer (input = "Dwellings SQL", output = "Dwellings") Then using the code in the following resource: https://www.esri.com/arcgis-blog/products/arcgis-pro/mapping/publish-and-overwrite-web-layers-in-modelbuilder/ I created a toolbox which should publish (overwrite) a layer called "Dwellings" in our AGOL account. I have tweaked the code in the ScriptTool function as such: def ScriptTool(map, service, summary, tags, description, overwriteService, enableEditing, enableSync, enableWFS, timezone, share_public, share_organization, share_groups, outdir): """ScriptTool function docstring""" # Set output file names sddraft_filename = service + ".sddraft" sddraft_output_filename = os.path.join(outdir, sddraft_filename) # Reference map to publish aprx = arcpy.mp.ArcGISProject("CURRENT") m = aprx.listMaps(map)[0] selected_layer = m.listLayers()[0] # Create FeatureSharingDraft and set service properties sharing_draft = m.getWebLayerSharingDraft("HOSTING_SERVER", "FEATURE", service, [selected_layer]) sharing_draft.summary = summary sharing_draft.tags = tags sharing_draft.description = description sharing_draft.credits = "My Credits" sharing_draft.useLimitations = "My Use Limitations" sharing_draft.overwriteExistingService = overwriteService # Create Service Definition Draft file sharing_draft.exportToSDDraft(sddraft_output_filename) outsddraft = sddraft_output_filename arcpy.AddMessage("Service definition draft created") # Modify capabilities if enableEditing or enableSync: ModifyCapabilities(sddraft_output_filename, enableEditing, enableSync) if enableWFS: EnableWFS(sddraft_output_filename) # Set time zone if(timezone != ""): property_set = [{ "key": "dateFieldsRespectsDayLightSavingTime", "value": "true" }, { "key": "dateFieldsTimezoneID", "value": timezone }] SetTimezone(sddraft_output_filename, property_set=property_set) # Create Service Definition file sd_filename = service + ".sd" sd_output_filename = os.path.join(outdir, sd_filename) arcpy.StageService_server(sddraft_output_filename, sd_output_filename) arcpy.AddMessage("Service definition created") # Upload to portal output = arcpy.UploadServiceDefinition_server(sd_output_filename, "My Hosted Services", in_override="OVERRIDE_DEFINITION", in_public=share_public, in_organization=share_organization, in_groups=share_groups) arcpy.AddMessage("Service published") return output[5] ...so that the function will publish a feature layer rather than the whole map. On running the code I receive the following error: File "C:\Program Files\ArcGIS\Pro\Resources\ArcPy\arcpy\server.py", line 1179, in StageService raise e File "C:\Program Files\ArcGIS\Pro\Resources\ArcPy\arcpy\server.py", line 1176, in StageService retval = convertArcObjectToPythonObject(gp.StageService_server(*gp_fixargs((in_service_definition_draft, out_service_definition, staging_version), True))) File "C:\Program Files\ArcGIS\Pro\Resources\ArcPy\arcpy\geoprocessing_base.py", line 512, in return lambda *args: val(*gp_fixargs(args, True)) arcgisscripting.ExecuteError: ERROR 001272: Analyzer errors were encountered ([{"code":"00102","message":"Selected layer does not contain a required layer type for web feature layer","object":"Map"}]). Failed to execute (StageService). Failed script Publish Web Feature Layer... Failed to execute (Publish Web Feature Layer). I can't understand why this is happening as the current map does display the imported feature layer and when running the section of the code under #Reference map to publish in the python console it does find the "Dwellings" feature layer. The line of code which throws the error is: arcpy.StageService_server(sddraft_output_filename, sd_output_filename) ...and the error message isn't very helpful, I can't find any helpful documentation on Esri's website which details if the problem is with the feature layer or a bug in the code. I am using ArcGIS Pro 3.1.3 with the default arcgispro-py3 environment. Below is a diagram of my model: Below are the parameters I used as per the Esri article:

Summary of the problem The geoprocessing framework is one of ArcGIS Pro's greatest strengths, and third-party developers are rightly steered toward it: a tool built as a script tool or Python toolbox gets geoprocessing history, environment settings, progress and message reporting, batch mode, ModelBuilder composability,…

I'm working on a project where I have to iterate through geodatabases and handle some debug errors if they exist. For this I've created a ModelBuilder model, in ArcGIS 10.7. Essentially, what the model does is iterate to the different databases (LoggGeoDB in the model) and using calculate value to determine if the file exists, using this as a precondition for selection. The calculation works fine, but the precondition fails on the second iteration. First iteration None of the data sets exist, and all the Select processes successfully do not run: "The process did not execute because the precondition is false." As intended. Second iteration Calculate Value and Calculate Value(3) finds their corresponding data sets and returns true, and the data is selected correctly. Calculate Value(2) still returns false, as intended, but Select Data(4) still runs, even though the precondition is false. Any ideas for how to work around this - would prefer to keep it as a model if possible. I've tried to make the Calculate Value(2) always return false, bypassing the code, but the problem persists. I also just tried making all the calculate value tools always return false, but Select Data(4) still attempts to run (the other two aborted as intended).

I am trying to come up with a method that utilizes lyrx files to routinely overwrite a feature layer on ArcGIS Portal. I've tried a few methods that utilize Python scripts, ModelBuilder and Task Scheduler to accomplish this, but I feel like the main issue is with the file format (lyrx). I am back at square one with this, so any feedback/suggestions? aprx = arcpy.mp.ArcGISProject(aprx_path) map = aprx.listMaps()[0] layer = map.addDataFromPath(lyr_file_path) outputfc_path = f"{outputgdb}/{outputfc_name}" arcpy.FeatureClassToFeatureClass_conversion(in_features = layer, out_path = outputgdb, out_name = outputfc_name) print(f"Feature class created at: {outputfc_path}") gis = GIS(portalurl, username, password) item = gis.content.get(itemid) flayer_collection = FeatureLayerCollection.fromitem(item) flayer_collection.manager.overwrite(outputfc_path) try: flayer_collection.manager.overwrite(outputfc_path) print("Feature layer has been successfully overwritten with updated data.") except Exception as e: print(f"Error during overwrite: {e}") All my variables are assigned in a different section which shows personal info so i cant include it in the post. This has worked the best in terms of making the lyr into a feature class. However, when uploading to portal it says that it has been modifeid, but the feature count is not what it should be!

SageMaker Python SDK v3 introduces ModelTrainer and ModelBuilder classes with SourceCode configuration to streamline bring-your-own-model workflows, enabling code-container decoupling and unified APIs across frameworks.

The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a scikit-learn Random Forest and a multi-GPU Stable Diffusion 3.5 LoRA fine-tune, showing how SourceCode syncs your local code into any container at runtime so you can iterate without rebuilding Docker images.

The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a scikit-learn Random Forest and a multi-GPU Stable Diffusion 3.5 LoRA fine-tune, showing how SourceCode syncs your local code into any container at runtime so you can iterate without rebuilding Docker images.

Every day I get a new geodatabase that I have to manually input in the shown ModelBuilder to produce a report. I would like to automate the input process, so the ModelBuilder would locate the new geodatabase from the computer download folder and use that as an input. Does anyone have any solution? Eventually, I want to make this model run itself every day at a certain time to produce a new report using the new geodatabase as an input.

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