diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst
index 50332de9e..9361fe1f7 100644
--- a/CONTRIBUTING.rst
+++ b/CONTRIBUTING.rst
@@ -191,7 +191,7 @@ browser
coverage html
firefox htmlcov/index.html
-.. _codecov: https://codecov.io/gh/lab-cosmo/metatensor
+.. _codecov: https://codecov.io/gh/metatensor/featomic
Writing your own calculator
---------------------------
diff --git a/docs/src/explanations/concepts.rst b/docs/src/explanations/concepts.rst
index c253bfd26..b34b0bfaa 100644
--- a/docs/src/explanations/concepts.rst
+++ b/docs/src/explanations/concepts.rst
@@ -67,7 +67,7 @@ After using a calculator on one or multiple systems, users will get the
numerical representation of their atomic systems in a ``descriptor`` object.
Featomic uses `metatensor`_ ``TensorMap`` type when returning descriptors.
-.. _metatensor: https://lab-cosmo.github.io/metatensor/
+.. _metatensor: https://docs.metatensor.org
A ``TensorMap`` can be seen as a dictionary mapping some keys to a set of data
blocks. Each block contains both data (and gradients) arrays — i.e.
diff --git a/docs/src/get-started/featomic.rst b/docs/src/get-started/featomic.rst
index 284b06c5f..b38aaf162 100644
--- a/docs/src/get-started/featomic.rst
+++ b/docs/src/get-started/featomic.rst
@@ -21,4 +21,4 @@ representation but supports several:
.. _DScribe: https://singroup.github.io/dscribe/
.. _QUIP: https://www.libatoms.org
-.. _metatensor: https://lab-cosmo.github.io/metatensor/
+.. _metatensor: https://docs.metatensor.org
diff --git a/docs/src/get-started/installation.rst b/docs/src/get-started/installation.rst
index 910953c70..7ddb2b840 100644
--- a/docs/src/get-started/installation.rst
+++ b/docs/src/get-started/installation.rst
@@ -121,7 +121,7 @@ For usage from C++
.. code-block:: bash
- git clone https://github.com/lab-cosmo/featomic
+ git clone https://github.com/metatensor/featomic
cd featomic/featomic-torch
mkdir build && cd build
cmake ..
@@ -164,5 +164,5 @@ Other useful configuration options are:
| | install metatensor-torch? | |
+----------------------------------------+-----------------------------------------------+----------------+
-.. _C++ interface of metatensor: https://lab-cosmo.github.io/metatensor/latest/get-started/installation.html#installing-the-c-and-c-library
-.. _TorchScript interface of metatensor: https://lab-cosmo.github.io/metatensor/latest/get-started/installation.html#for-usage-from-c
+.. _C++ interface of metatensor: https://docs.metatensor.org/latest/get-started/installation.html#installing-the-c-and-c-library
+.. _TorchScript interface of metatensor: https://docs.metatensor.org/latest/get-started/installation.html#for-usage-from-c
diff --git a/featomic-torch/CMakeLists.txt b/featomic-torch/CMakeLists.txt
index 9c3e029fa..cd42efcf7 100644
--- a/featomic-torch/CMakeLists.txt
+++ b/featomic-torch/CMakeLists.txt
@@ -125,7 +125,7 @@ set(REQUIRED_METATENSOR_TORCH_VERSION "0.7")
if (FEATOMIC_TORCH_FETCH_METATENSOR_TORCH)
message(STATUS "Fetching metatensor-torch from github")
- set(URL_ROOT "https://github.com/lab-cosmo/metatensor/releases/download")
+ set(URL_ROOT "https://github.com/metatensor/metatensor/releases/download")
include(FetchContent)
FetchContent_Declare(
metatensor_torch
diff --git a/featomic/CMakeLists.txt b/featomic/CMakeLists.txt
index b98d57c3f..05fa4e159 100644
--- a/featomic/CMakeLists.txt
+++ b/featomic/CMakeLists.txt
@@ -251,7 +251,7 @@ if (FEATOMIC_FETCH_METATENSOR)
message(STATUS "Fetching metatensor-core from github")
include(FetchContent)
- set(URL_ROOT "https://github.com/lab-cosmo/metatensor/releases/download")
+ set(URL_ROOT "https://github.com/metatensor/metatensor/releases/download")
FetchContent_Declare(
metatensor
URL ${URL_ROOT}/metatensor-core-v${METATENSOR_FETCH_VERSION}/metatensor-core-cxx-${METATENSOR_FETCH_VERSION}.tar.gz
diff --git a/python/featomic/examples/first-calculation.py b/python/featomic/examples/first-calculation.py
index 759756fb2..169b7552b 100644
--- a/python/featomic/examples/first-calculation.py
+++ b/python/featomic/examples/first-calculation.py
@@ -123,7 +123,7 @@
# The descriptor format is a :class:`metatensor.TensorMap` object. Metatensor is
# like numpy for storing representations of atomistic ML data. Extensive details
# on the metatensor are covered in the `corresponding documentation
-# `_.
+# `_.
#
# We will now have a look at how the data is stored inside
# :class:`metatensor.TensorMap` objects.