bqplot
diff --git a/docs/assets/images/label-image1.png b/docs/assets/images/label-image1.png
diff --git a/docs/assets/images/label-image2.png b/docs/assets/images/label-image2.png
diff --git a/docs/assets/images/label-image3.png b/docs/assets/images/label-image3.png
diff --git a/docs/usage/marks/label.md b/docs/usage/marks/label.md
@@ -0,0 +1,103 @@
+The `Label` mark provides the following features:
+
+* Plot a single or multiple labels for an array of x-values and y-values
+
+### Attributes
+
+#### [Data Attributes](../../api/marks.md#bqplot.marks.Label--data-attributes)
+
+#### [Style Attributes](../../api/marks.md#bqplot.marks.Label--style-attributes)
+
+
+Let's now look at examples of adding labels using the `pyplot` API
+
+### pyplot
+The function for plotting labels in `pyplot` is [`plt.label`](../../api/pyplot.md#bqplot.pyplot.label). It takes three main arguments:
+
+1. __text__ vector of text label values
+2. __x__ vector of x values representing the x coordinates for the labels
+3. __y__ vector of y values representing the y coordinates for the labels
+
+For further customization, any of the attributes above can be passed as keyword args.
+
+### Code Examples
+#### Simple Label
+```py
+import numpy as np
+import bqplot.pyplot as plt
+
+fig = plt.figure(title="Basic Label Example")
+x   = np.linspace(0, 2 * np.pi)
+y   = np.sin(x)
+
+line   = plt.plot(x, y)
+label  = plt.label(
+    text=["Max", "Min"],
+    x=[.5 * np.pi, 1.5 * np.pi],
+    y=[1, -1]
+)
+fig
+```
+![plot](../../assets/images/label-image1.png)
+!!! tip
+    To render labels professionally it's better to offset the label to avoid obscuring the true graph below. To do so, set the `x_offset` and `y_offset` attrbiutes (which accepts values in pixels), like so:
+    ```py
+    label.x_offset = 10
+    label.y_offset = 10
+    ```
+
+Attributes can also be updated in separate notebook cells or in callbacks when an event is triggered!
+```py
+# update the label color
+label.colors   = ['red', 'blue']
+```
+
+#### Figure Coordinates
+Use the coordinates relative to the figure to more easily plot labels for important features.
+```py
+fig   = plt.figure()
+y     = np.cumsum(np.random.randn(100))
+line  = plt.plot(np.arange(y.size), y_data)
+label = plt.label(
+    ["Halfway Point"], 
+    default_size=26, 
+    font_weight="bolder", 
+    colors=["orange"]
+)
+
+label.x = [0.5]
+label.y = [0.5]
+```
+![plot](../../assets/images/label-image2.png)
+
+Further, we can use values expressed in the units of the data. For example, if we consider a time series, we might want to label a specific date. Rather than calculating the position of the data with respect to the figure, we can simply pass in the date to the label function. 
+```py
+fig = plt.figure()
+y   = pd.Series(
+    np.cumsum(np.random.randn(150)) + 100,
+    name="Time Series",
+    index=pd.date_range(start="01-01-2007", periods=150),
+)
+
+lines = plt.plot(y.index, y)
+label = plt.label(["Special Day"], 
+                  x=[np.datetime64("2007-02-14")], 
+                  colors=["orange"])
+
+labels.y = [0.5]
+fig
+```
+![plot](../../assets/images/label-image3.png)
+
+#### Interactions
+##### Movable Labels
+Labels can be dynamically moved in the figure by enabling the `enable_move` flag attribute as shown below:
+```
+labels.enable_move = True
+```
+
+### Example Notebooks
+For detailed examples of bar plots, refer to the following example notebooks
+
+1. [pyplot](https://github.com/bqplot/bqplot/blob/master/examples/Marks/Pyplot/Label.ipynb)
+2. [Object Model](https://github.com/bqplot/bqplot/blob/master/examples/Marks/Object%20Model/Label.ipynb)
diff --git a/mkdocs.yml b/mkdocs.yml
@@ -72,6 +72,7 @@ nav:
         - Heatmap: usage/marks/heatmap.md
         - Gridheatmap: usage/marks/gridheatmap.md
         - Marketmap: usage/marks/market.md
+        - Label: usage/marks/label.md
       - Interactions:
         - Mark Interactions: usage/interactions/mark-interactions.md
         - Selectors: usage/interactions/selectors.md