diff --git a/README.md b/README.md
index 9b7fdca6f3..40bf326f92 100644
--- a/README.md
+++ b/README.md
@@ -57,10 +57,10 @@ scientific computing. You must have them installed prior to installing
 gensim.
 
 It is also recommended you install a fast BLAS library before installing
-NumPy. This is optional, but using an optimized BLAS such as [ATLAS] or
+NumPy. This is optional, but using an optimized BLAS such as MKL, [ATLAS] or
 [OpenBLAS] is known to improve performance by as much as an order of
-magnitude. On OS X, NumPy picks up the BLAS that comes with it
-automatically, so you don’t need to do anything special.
+magnitude. On OSX, NumPy picks up its vecLib BLAS automatically,
+so you don’t need to do anything special.
 
 Install the latest version of gensim:
 
@@ -77,7 +77,8 @@ package:
 
 For alternative modes of installation, see the [documentation].
 
-Gensim is being [continuously tested](https://travis-ci.org/RaRe-Technologies/gensim) under Python 3.6, 3.7 and 3.8.
+Gensim is being [continuously tested](http://radimrehurek.com/gensim/#testing) under all
+[supported Python versions](https://github.com/RaRe-Technologies/gensim/wiki/Gensim-And-Compatibility).
 Support for Python 2.7 was dropped in gensim 4.0.0 – install gensim 3.8.3 if you must use Python 2.7.
 
 How come gensim is so fast and memory efficient? Isn’t it pure Python, and isn’t Python slow and greedy?
@@ -162,15 +163,12 @@ BibTeX entry:
 
   [citing gensim in academic papers and theses]: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=9vG_kV0AAAAJ&citation_for_view=9vG_kV0AAAAJ:NaGl4SEjCO4C
 
-  [Travis CI for automated testing]: https://travis-ci.org/RaRe-Technologies/gensim
   [design goals]: http://radimrehurek.com/gensim/about.html
   [RaRe Technologies]: http://rare-technologies.com/wp-content/uploads/2016/02/rare_image_only.png%20=10x20
   [rare\_tech]: //rare-technologies.com
   [Talentpair]: https://avatars3.githubusercontent.com/u/8418395?v=3&s=100
   [citing gensim in academic papers and theses]: https://scholar.google.cz/citations?view_op=view_citation&hl=en&user=9vG_kV0AAAAJ&citation_for_view=9vG_kV0AAAAJ:u-x6o8ySG0sC
 
-
-
   [documentation and Jupyter Notebook tutorials]: https://github.com/RaRe-Technologies/gensim/#documentation
   [Vector Space Model]: http://en.wikipedia.org/wiki/Vector_space_model
   [unsupervised document analysis]: http://en.wikipedia.org/wiki/Latent_semantic_indexing
diff --git a/docs/src/_templates/indexcontent.html b/docs/src/_templates/indexcontent.html
index 0d7c5a6252..0ca74b7210 100644
--- a/docs/src/_templates/indexcontent.html
+++ b/docs/src/_templates/indexcontent.html
@@ -108,7 +108,7 @@ <h3>Ready-to-use models and corpora</h3>
                 <div class="mcb-wrap-inner">
                   <div class="column mcb-column mcb-item-jypwdj8nx three-fifth column_column">
                     <div class="column_attr clearfix" style>
-                      <h2>Installation</h2>
+                      <h2 id="install">Installation</h2>
                     </div>
                   </div>
                   <div class="column mcb-column mcb-item-jg4w6j6zg one column_divider">
@@ -161,7 +161,7 @@ <h3>Code dependencies</h3>
                     </div>
                   </div>
                   <div class="column mcb-column mcb-item-jg4w6j6zg one">
-                    <h3>Testing Gensim</h3>
+                    <h3 id="testing">Testing Gensim</h3>
                   </div>
                   <div class="column mcb-column mcb-item-pm31t65yi one">
                     <div class="column_attr clearfix" style>
@@ -174,10 +174,10 @@ <h3>Testing Gensim</h3>
                           <th>Build status</th>
                         </tr>
                         <tr>
-                          <td>Travis</td>
-                          <td>Run tests on Linux and check code-style</td>
-                          <td><a href="https://travis-ci.org/RaRe-Technologies/gensim"><img alt="Travis"
-                                                                                            src="https://travis-ci.org/RaRe-Technologies/gensim.svg?branch=develop"></a>
+                          <td>Github Actions</td>
+                          <td>Run tests on Linux and Mac, plus check code-style</td>
+                          <td><a href="https://github.com/RaRe-Technologies/gensim/actions"><img alt="Github Action"
+                                                                                            src="https://github.com/RaRe-Technologies/gensim/actions/workflows/tests.yml/badge.svg?branch=develop"></a>
                           </td>
                         </tr>
                         <tr>
diff --git a/setup.py b/setup.py
index c6c045b328..ab9d586845 100644
--- a/setup.py
+++ b/setup.py
@@ -155,13 +155,13 @@ def run(self):
 gensim -- Topic Modelling in Python
 ==============================================
 
-|Travis|_
+|GA|_
 |Wheel|_
 
-.. |Travis| image:: https://img.shields.io/travis/RaRe-Technologies/gensim/develop.svg
+.. |GA| image:: https://github.com/RaRe-Technologies/gensim/actions/workflows/tests.yml/badge.svg?branch=develop
 .. |Wheel| image:: https://img.shields.io/pypi/wheel/gensim.svg
 
-.. _Travis: https://travis-ci.org/RaRe-Technologies/gensim
+.. _GA: https://github.com/RaRe-Technologies/gensim/actions
 .. _Downloads: https://pypi.python.org/pypi/gensim
 .. _License: http://radimrehurek.com/gensim/about.html
 .. _Wheel: https://pypi.python.org/pypi/gensim
@@ -194,7 +194,7 @@ def run(self):
 This software depends on `NumPy and Scipy <http://www.scipy.org/Download>`_, two Python packages for scientific computing.
 You must have them installed prior to installing `gensim`.
 
-It is also recommended you install a fast BLAS library before installing NumPy. This is optional, but using an optimized BLAS such as `ATLAS <http://math-atlas.sourceforge.net/>`_ or `OpenBLAS <http://xianyi.github.io/OpenBLAS/>`_ is known to improve performance by as much as an order of magnitude. On OS X, NumPy picks up the BLAS that comes with it automatically, so you don't need to do anything special.
+It is also recommended you install a fast BLAS library before installing NumPy. This is optional, but using an optimized BLAS such as MKL, `ATLAS <http://math-atlas.sourceforge.net/>`_ or `OpenBLAS <http://xianyi.github.io/OpenBLAS/>`_ is known to improve performance by as much as an order of magnitude. On OSX, NumPy picks up its vecLib BLAS automatically, so you don't need to do anything special.
 
 Install the latest version of gensim::
 
@@ -205,9 +205,9 @@ def run(self):
     python setup.py install
 
 
-For alternative modes of installation, see the `documentation <http://radimrehurek.com/gensim/install.html>`_.
+For alternative modes of installation, see the `documentation <http://radimrehurek.com/gensim/#install>`_.
 
-Gensim is being `continuously tested <https://travis-ci.org/RaRe-Technologies/gensim>`_ under Python 3.6, 3.7 and 3.8.
+Gensim is being `continuously tested <http://radimrehurek.com/gensim/#testing>`_ under all `supported Python versions <https://github.com/RaRe-Technologies/gensim/wiki/Gensim-And-Compatibility>`_.
 Support for Python 2.7 was dropped in gensim 4.0.0 – install gensim 3.8.3 if you must use Python 2.7.