Community Alerts

Blogger Sam Harper just posted a new article to the FME Blog. Title: The Peak of Data & AI 2025 Full Agenda Release Summary: We are pleased to announce the full agenda release for our 2025 Peak of Data & AI conference, packed with expert-led sessions, workshops and keynote speeches! Introduction: Safe Software’s Peak of Data & AI (The Peak) conference is just around the corner, and we are delighted to release the full agenda of breakout talks and keynote plenary sessions taking place at the Hyatt Regency Hotel in Seattle, Washington between May 6-8, 2025! Would you like to know more? Click here to read this new article!

GIS (StackExchange) user roundball2 just made a new post with the tags: fme-form, cad, fme-transformer. Would you like to know more? Click here to find out more details! StackExchange content licensed as: CC BY-SA 4.0

FME Hub user vosgeo-analyses just uploaded a new transformer to the FME Hub. KLIC Transformer (version 1)By: Vos Geo-analyses (Roelof Vos) This transformer reads a previously downloaded KLIC file. The KLIC is downloaded from Kadaster.nl and shows all cables and pipelines in the specified area.The goal of this transformer is to read the .xml file, connect and expose all relevant data to each geometry and write it with a pre-defined style to a GeoPackage, or provide it to the end user as a raw output.Input Use a Creator with one creation instance to kick off the transformer.The KLIC file can be zipped or unzipped. The transformer can also process unzipped files within the same folder. KLIC files must begin with the name "Levering_". User parameters The KLIC transformer works with three user parameters: 1. KLIC_FOLDER: specify where you saved your KLIC downloads on your computer. From here the transformer will load all data with a Directory and File Pathnames reader. 2. Destination_writer

FME Hub user davekazemi just uploaded a new transformer to the FME Hub. Overview The Process Monitor is a custom FME transformer that monitors running processes on your system, waiting until processes matching a specific name reach a defined threshold or until a timeout occurs. Designed primarily for coordinating asynchronous workflows, it allows you to ensure prerequisite tasks have completed before continuing execution. This transformer is particularly valuable when using WorkspaceRunner with asynchronous execution enabled, as it can pause the workflow until all child processes have completed. The transformer provides visual and audible notifications upon completion and logs monitoring status to the FME log. Key features include configurable process name targeting, adjustable checking intervals, timeout protection, and automated notifications. It's an essential tool for managing complex parallel processing workflows and ensuring proper sequence of operations in resource-intensive FME

Blogger Sam Harper just posted a new article to the FME Blog. Title: 10 Things to do in Seattle During Peak of Data & AI Summary: If you are joining us for our 2025 Peak of Data & AI conference in Seattle, here are 10 things to do outside the convention in this wonderful city! Introduction: With our 2025 Peak of Data & AI conference just around the corner, here at Safe Software, we are excited to welcome FME customers, partners and data integration enthusiasts from across the globe to the Hyatt Regency Hotel in Seattle, Washington for an action-packed week of networking, expert-led sessions, and inspiring keynote talks from innovative leaders. Would you like to know more? Click here to read this new article!

FME Hub user daveatsafe just uploaded a new transformer to the FME Hub. Evaluates expressions on measure values, including algebraic operations and conditional statements. Supports linear geometries only: Lines Arcs Paths Clothoids Features with aggregate or non-linear geometry will be output through the <Rejected> port. Typical Uses Scaling measure values Offsetting measure values Creating new measures from mathematical operations on one or more existing measures Operation The transformer works almost the same as the ExpressionEvaluator, but allows the user to include existing measure names in the expressions, enclosed in square brackets. All operations supported in the ExpressionEvaluator are also supported by the MeasureExpressionEvaluator Would you like to know more? Click here to find out more details!

GIS (StackExchange) user Geographic Net Box just made a new post with the tags: qgis, fme-form, cesium, 3d-model, 3d-tiles. Would you like to know more? Click here to find out more details! StackExchange content licensed as: CC BY-SA 4.0

Blogger François Laganière just posted a new article to the FME Blog. Title: Why FME is the best tool for parcel data: 4 examples that prove it Summary: Managing parcel data is complex, requiring system integration, accuracy, automation, and collaboration. FME simplifies these challenges, improving efficiency and decision-making. Introduction: Would you like to know more? Click here to read this new article!

FME Hub user daveatsafe just uploaded a new transformer to the FME Hub. Evaluates expressions on measure values, including algebraic operations and conditional statements. Typical Uses Scaling measure values Offsetting measure values Creating new measures from mathematical operations on one or more existing measures Operation The transformer works almost the same as the ExpressionEvaluator, but allows the user to include existing measure names in the expressions, enclosed in square brackets. All operations supported in the ExpressionEvaluator are also supported by the MeasureExpressionEvaluator Would you like to know more? Click here to find out more details!

FME Hub user marco.lor just uploaded a new transformer to the FME Hub. This transformer create a new attribute SumTot with the sum of the selected attributes. Would you like to know more? Click here to find out more details!

FME Hub user marco.lor just uploaded a new transformer to the FME Hub. SumSelectedAttributes Creates a new attribute which sum the previously selected attributes Would you like to know more? Click here to find out more details!

FME Hub user marco.lor just uploaded a new transformer to the FME Hub. SumSelectedAttributes Creates a new attribute which sum the previously selected attributes Would you like to know more? Click here to find out more details!

FME Hub user davekazemi just uploaded a new transformer to the FME Hub. AdvanceGrouper Transformer Overview The AdvanceGrouper transformer is an enhanced version of the traditional Grouper transformer in FME, offering improved performance and additional functionality for feature grouping and sampling. This transformer provides flexible methods to group and sample features based on different criteria. Performance Improvements Significantly reduced processing time compared to the standard Grouper Optimized memory usage (peak memory usage: ~1.4MB for 150,000 features) Efficient handling of large feature sets Usage Notes Supports processing of large feature sets (tested with 150,000+ features) Maintains feature order during processing Compatible with existing FME workflows Provides visual feedback through the feature cache icons Would you like to know more? Click here to find out more details!

FME Hub user uvmsci just uploaded a new transformer to the FME Hub. This custom transformer writes CityGRID model with linked units/terrains/images. Would you like to know more? Click here to find out more details!

FME Hub user uvmsci just uploaded a new transformer to the FME Hub. This custom transformer reads CityGRID data (xml or ini). All element and unit attributes are merged to geometries. Would you like to know more? Click here to find out more details!

FME Hub user uvmsci just uploaded a new transformer to the FME Hub. Reads tables from CityGRID database (Oracle, MSSQL or PostgreSQL). Would you like to know more? Click here to find out more details!

FME Hub user uvmsci just uploaded a new transformer to the FME Hub. This custom transformer writes models into CityGRID database. Optionally terrains or images can be linked to the model(s). Would you like to know more? Click here to find out more details!

FME Hub user uvmsci just uploaded a new transformer to the FME Hub. Reads tables from CityGRID database (Oracle, MSSQL or PostgreSQL). Would you like to know more? Click here to find out more details!

Blogger Thiago Lúcio Brigagão just posted a new article to the FME Blog. Title: ChatGPT + FME: Transforming text into spatial data Summary: Master the five essential principles to elevate your FME workflows from functional to exceptional. Introduction: Would you like to know more? Click here to read this new article!

FME Hub user danielmartins18 just uploaded a new transformer to the FME Hub. This transformer adds attachments to an ArcGIS Online feature service. The transformer does not store username and password, allowing to use a AGOL Web Connection existing on your workspace. Based on by "AGOLAttachmentAdder" created by Chris Duncan_ Would you like to know more? Click here to find out more details!

Blogger Tiana Warner just posted a new article to the FME Blog. Title: AI Data Integration: Unlocking insights with FME & Google Gemini Summary: Discover how FME and Google Gemini revolutionize data pipelines with automation, AI-powered schema mapping, and large-scale data transformation. Introduction: What if you could process 1.09 million handwritten records in just 26 hours instead of 19 years? AI is revolutionizing data pipelines, making them faster, smarter, and more efficient than ever before—and enabling previously impossible projects like this one. Would you like to know more? Click here to read this new article!

Blogger Tiana Warner just posted a new article to the FME Blog. Title: AI Data Integration: Unlocking Insights with FME & Google Gemini Summary: Discover how FME and Google Gemini revolutionize data pipelines with automation, AI-powered schema mapping, and large-scale data transformation. Introduction: What if you could process 1.09 million handwritten records in just 26 hours instead of 19 years? AI is revolutionizing data pipelines, making them faster, smarter, and more efficient than ever before—and enabling previously impossible projects like this one. Would you like to know more? Click here to read this new article!

Blogger Sam Harper just posted a new article to the FME Blog. Title: 5 Presentations to Watch at Peak of Data & AI 2025 Summary: With Peak of Data & AI 2025 just around the corner, Safe Software is proud to showcase 5 must-see presentations at the Seattle conference in May! Introduction: The 2025 Peak of Data & AI conference will see the largest gathering of FME users from around the world, with a target of over 1000 attendees! From May 6-8th, industry leaders and professionals will gather in Seattle, Washington to participate in an action-packed week of expert-led workshops, inspiring keynotes and hands-on sessions, all while building stronger connections with fellow members of the FME community through networking and social events. Would you like to know more? Click here to read this new article!

FME Hub user rvoisin just uploaded a new transformer to the FME Hub. Citywide GET Connector Description This transformer handles pagination for the Citywide REST API. Usage If given a valid Citywide REST API GET endpoint, this transformer will loop through all available pages of results and return all results combined into a single JSON response as cw_response. Please note that querying for large data sets my result in slower response times. This transformer is not designed for use with Bulk Routes. Parameters Web Connection - A valid Citywide web authentication connection. Location - The Citywide GET endpoint to be queried. Filter Field - Optional. A field name to be used for filtering. Filter Value - Optional. A field value to be used for filtering. Would you like to know more? Click here to find out more details!

FME Hub user rvoisin just uploaded a new transformer to the FME Hub. Citywide Service Request Connector Description This transformer handles the creation of Service Requests with the Citywide REST API. It can be used to access various POST actions, including create new Service Requests and attaching Notes, Files, and Attributes. Usage To use this transformer, a JSON POST body must be assembled to be sent to the relevant endpoint. It preforms one function at a time, which can be selected under Basic Parameters. Several uses of this transformer must be chained together to accomplish the entire Service Request creation process. Basic Parameters Select a Function - Select which REST API action to preform. Create New Service Request: creates a new Citywide Service Request. Commit Service Request Transaction: this step must be preformed in order for the new Service Request to be available in the Citywide Web UI or Citwide Mobile App. Add Note to Service Request: Attaches a note to a pre-exis