diff --git a/docs/getting_started/concepts.rst b/docs/getting_started/concepts.rst
index eb24b64..5da3c53 100644
--- a/docs/getting_started/concepts.rst
+++ b/docs/getting_started/concepts.rst
@@ -113,7 +113,6 @@ corresponding functions or classes, which can also be found in the `mlprimitives
 Examples
 ********
 
-* LightFM
 * Keras Sequential LSTMTextClassifier
 * NetworkX Graph Feature Extraction
 
diff --git a/mlprimitives/adapters/lightfm.py b/mlprimitives/adapters/lightfm.py
deleted file mode 100644
index fcb580a..0000000
--- a/mlprimitives/adapters/lightfm.py
+++ /dev/null
@@ -1,28 +0,0 @@
-# -*- coding: utf-8 -*-
-
-import lightfm
-from scipy import sparse
-
-
-class LightFM(lightfm.LightFM):
-
-    def __init__(self, epochs=1, num_threads=1, *args, **kwargs):
-        self.epochs = epochs
-        self.num_threads = num_threads
-        super(LightFM, self).__init__(*args, **kwargs)
-
-    def get_columns(self, X):
-        if hasattr(X, 'iloc'):
-            return X.iloc[:, 0].values, X.iloc[:, 1].values
-        else:
-            return X[:, 0], X[:, 1]
-
-    def fit(self, X, y):
-        user_ids, item_ids = self.get_columns(X)
-        X = sparse.csr_matrix((y, (user_ids, item_ids)))
-        super(LightFM, self).fit(X, epochs=self.epochs, num_threads=self.num_threads)
-
-    def predict(self, X):
-        user_ids, item_ids = self.get_columns(X)
-        predict = super(LightFM, self).predict
-        return predict(user_ids, item_ids, num_threads=self.num_threads)
diff --git a/mlprimitives/primitives/lightfm.LightFM.json b/mlprimitives/primitives/lightfm.LightFM.json
deleted file mode 100644
index 1f00afb..0000000
--- a/mlprimitives/primitives/lightfm.LightFM.json
+++ /dev/null
@@ -1,91 +0,0 @@
-{
-    "name": "lightfm.LightFM",
-    "contributors": [
-        "Carles Sala <csala@csail.mit.edu>"
-    ],
-    "documentation": "http://lyst.github.io/lightfm/docs/index.html",
-    "description": "LightFM is a Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.",
-    "classifiers": {
-        "type": "estimator",
-        "subtype": "recommender"
-    },
-    "modalities": [],
-    "primitive": "mlprimitives.adapters.lightfm.LightFM",
-    "fit": {
-        "method": "fit",
-        "args": [
-            {
-                "name": "X",
-                "type": "ndarray"
-            },
-            {
-                "name": "y",
-                "type": "array"
-            }
-        ]
-    },
-    "produce": {
-        "method": "predict",
-        "args": [
-            {
-                "name": "X",
-                "type": "ndarray"
-            }
-        ],
-        "output": [
-            {
-                "name": "y",
-                "type": "array"
-            }
-        ]
-    },
-    "hyperparameters": {
-        "fixed": {
-            "epochs": {
-                "type": "int",
-                "default": 1
-            },
-            "num_threads": {
-                "type": "int",
-                "default": 1
-            }
-        },
-        "FIXME": "This needs to be reviewed and extended",
-        "tunable": {
-            "loss": {
-                "type": "str",
-                "default": "warp",
-                "values": [
-                    "warp",
-                    "logistic",
-                    "bpr",
-                    "warp-kos"
-                ]
-            },
-            "learning_schedule": {
-                "type": "str",
-                "default": "adagrad",
-                "values": [
-                    "adagrad",
-                    "adadelta"
-                ]
-            },
-            "no_components": {
-                "type": "int",
-                "default": 5,
-                "range": [
-                    5,
-                    15
-                ]
-            },
-            "k": {
-                "type": "int",
-                "default": 2,
-                "range": [
-                    2,
-                    10
-                ]
-            }
-        }
-    }
-}
diff --git a/setup.py b/setup.py
index da93301..7531381 100644
--- a/setup.py
+++ b/setup.py
@@ -16,7 +16,6 @@
     'featuretools>=0.6.1,<0.23',
     'iso639>=0.1.4,<0.2',
     'langdetect>=1.0.7,<2',
-    'lightfm>=1.15,<2',
     'mlblocks>=0.6,<0.7',
     'networkx>=2.0,<3',
     'nltk>=3.3,<4',