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OlivierBinette · Jan 19, 2022 · e113d12 · e113d12
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diff --git a/README.ipynb b/README.ipynb
@@ -41,10 +41,10 @@
     "\n",
     "| Stage  | Goals | Status|\n",
     "| :-------------: | ------------- | :-------------: |\n",
-    "| 1  | pybind11 framework and edit-based distances (Levenshtein, Damerau-Levenshtein, Jaro, and Jaro-Winkler) | ![Stable](https://lifecycle.r-lib.org/articles/figures/lifecycle-stable.svg)  |\n",
-    "| 2  | Token-based and hybrid distances (tf-idf similarity, LSH, Monge-Elkan, ...)  |   |\n",
-    "| 3  | Vocabulary optimizations and metric trees |   |\n",
-    "| 4  | Embeddings and string distance learning |   |\n",
+    "| 1  | pybind11 framework and edit-based distances (Levenshtein, Damerau-Levenshtein, Jaro, and Jaro-Winkler) | ✔️ |\n",
+    "| 2  | Token-based and hybrid distances (tf-idf similarity, LSH, Monge-Elkan, ...)  | ... |\n",
+    "| 3  | Vocabulary optimizations and metric trees | ...  |\n",
+    "| 4  | Embeddings and string distance learning | ...  |\n",
     "\n"
    ]
   },

diff --git a/README.md b/README.md
@@ -25,10 +25,10 @@ Install from github using the following command:
 
 | Stage  | Goals | Status|
 | :-------------: | ------------- | :-------------: |
-| 1  | pybind11 framework and edit-based distances (Levenshtein, Damerau-Levenshtein, Jaro, and Jaro-Winkler) | ![Stable](https://lifecycle.r-lib.org/articles/figures/lifecycle-stable.svg)  |
-| 2  | Token-based and hybrid distances (tf-idf similarity, LSH, Monge-Elkan, ...)  |   |
-| 3  | Vocabulary optimizations and metric trees |   |
-| 4  | Embeddings and string distance learning |   |
+| 1  | pybind11 framework and edit-based distances (Levenshtein, Damerau-Levenshtein, Jaro, and Jaro-Winkler) | ✔️ |
+| 2  | Token-based and hybrid distances (tf-idf similarity, LSH, Monge-Elkan, ...)  | ... |
+| 3  | Vocabulary optimizations and metric trees | ...  |
+| 4  | Embeddings and string distance learning | ...  |
 
 
 

diff --git a/README.rst b/README.rst
@@ -56,19 +56,16 @@ Project Roadmap
      - Status
    * - 1
      - pybind11 framework and edit-based distances (Levenshtein, Damerau-Levenshtein, Jaro, and Jaro-Winkler)
-     - 
-     .. image:: https://lifecycle.r-lib.org/articles/figures/lifecycle-stable.svg
-        :target: https://lifecycle.r-lib.org/articles/figures/lifecycle-stable.svg
-        :alt: Stable
-
+     - ✔️
    * - 2
      - Token-based and hybrid distances (tf-idf similarity, LSH, Monge-Elkan, ...)
-     - 
+     - ...
    * - 3
      - Vocabulary optimizations and metric trees
-     - 
+     - ...
    * - 4
      - Embeddings and string distance learning
+     - ...
 
 
 Examples