Draws the shapes on a map you can open from this node's Artifacts tab after a run. The data passes through unchanged, so you can drop it anywhere in a flow.
Utilities Docker kernel
No flagged operations
edwardvaneechoud Sep 13, 2026 MIT
Community nodes
Flowfile ships with standard building blocks. Community nodes are additional nodes kept in a public GitHub registry, separate from Flowfile itself. Anyone can add one: build it in the Node Designer, publish it from there, and it goes in for review. It doesn't wait for a Flowfile release. A node is available as soon as it's reviewed and gets updated on its own schedule, not Flowfile's. Once published, you install it from inside the app and it appears in the palette next to the built-in nodes.
How it works
Easy to install
Open Catalog → Community Nodes in the app, pick a node, click install. Before anything is added you see who made it, where the code lives, and what it can touch. Then it's in your palette.
Easy to build
The Node Designer lives inside Flowfile. Describe the settings your node needs, write the transform in Python, test it on real data, and it's a node like any other.
Easy to share
Publish from the Node Designer and Flowfile submits it for you. Every node is checked automatically and read by a person before it shows up here.
Published nodes
17 in the registry Category
Grows each shape by a set distance, answering questions like 'which homes are within 500 m of a station?'. Measured on the ground, so it holds up far from the equator.
Utilities Runs locally
No flagged operations
edwardvaneechoud Sep 12, 2026 MIT
Adds the real ground distance between two places on each row, in kilometres, metres or miles. Works straight off latitude and longitude columns, with no setup.
Utilities Runs locally
No flagged operations
edwardvaneechoud Sep 12, 2026 MIT
Adds the area, length and centre point of every shape as ordinary columns, so you can sort, filter and total them. Measured on the ground, accurate at any latitude.
Utilities Runs locally
No flagged operations
edwardvaneechoud Sep 12, 2026 MIT
Tags each row with the area it falls inside - every customer with its district, every incident with its region. Matched and unmatched rows come out of separate outputs.
Utilities Runs locally
No flagged operations
edwardvaneechoud Sep 12, 2026 MIT
Turns latitude and longitude columns into map points, so a plain spreadsheet can be buffered, measured, joined and drawn. Runs offline with no setup.
Utilities Runs locally
No flagged operations
edwardvaneechoud Sep 12, 2026 MIT
Loads a Shapefile, GeoJSON, GeoParquet, FlatGeobuf, GeoPackage or KML as a table, one row per shape. Reads from this machine, and needs internet once to fetch the map extension.
Utilities Runs locally
No flagged operations
edwardvaneechoud Sep 12, 2026 MIT
Flattens one nested column: a List of scalars explodes into one row per element, a Struct unnests into one column per field, and a List of Structs explodes and then unnests into one row per element with one column per field. Empty lists and nulls follow Polars' default explode semantics and yield a
Utilities Runs locally
No flagged operations
edwardvaneechoud Sep 10, 2026 MIT
Cross-validate candidate models on training data, pick the best, and score unseen data.
Machine Learning Docker kernel pip: scikit-learnpip: xgboostpip: lightgbmpip: pandaspip: matplotlib
No flagged operations
Flowfile Aug 6, 2026 MIT
Load a model persisted by AutoML Store Model and append its predictions to new data.
Machine Learning Docker kernel pip: scikit-learnpip: xgboostpip: lightgbmpip: pandas
No flagged operations
Flowfile Aug 6, 2026 MIT
Score each attribute's model-free statistical relationship to the target (mutual information / F-test).
Machine Learning Docker kernel pip: scikit-learnpip: pandaspip: matplotlib
No flagged operations
Flowfile Aug 5, 2026 MIT
Rank the features that most drive the model (permutation or built-in) and publish a chart.
Utilities Docker kernel pip: scikit-learnpip: xgboostpip: lightgbmpip: pandaspip: matplotlib
No flagged operations
Flowfile Jul 31, 2026 MIT
Cross-validate several models on labeled data and rank them on a leaderboard.
Machine Learning Docker kernel pip: scikit-learnpip: xgboostpip: lightgbmpip: pandaspip: matplotlib
No flagged operations
Flowfile Jul 24, 2026 MIT
Detect the format of a string date column automatically and convert it to a Date or Datetime.
Date & Time Runs locally
No flagged operations
Edwardvaneechoud Jul 12, 2026 MIT
Trim, collapse spaces, change case, and strip characters from selected string columns.
Utilities Runs locally
No flagged operations
edwardvaneechoud Jul 12, 2026 MIT
Do a kmeans clustering with sklearn
Machine Learning Docker kernel pip: scikit-learn
No flagged operations
Edwardvaneechoud Jul 12, 2026 MIT
Mood Emoji v1.0.0
Map a numeric column to mood-based emojis with configurable themes and intensity.
Fun Runs locally
No flagged operations
Edward van Eechoud Jan 1, 2026 MIT
No nodes match these filters.
Publish your own node Build it in the Node Designer, publish it from there, and it's shared. The guide walks through every step.
Every community node is checked automatically, reviewed by a person, and locked to the exact
version that was reviewed — so what you install is what was read. They are not sandboxed,
though: a node that runs locally can do whatever Flowfile itself can do, and a node running
in a Docker kernel is kept apart with its own dependencies. The source is always one click
away; it's worth a look before you install. Requires Flowfile 0.13.1 or later in
the desktop app, Docker, or pip install flowfile — Flowfile
Lite, the in-browser build, doesn't include community nodes.