diff --git a/README.md b/README.md
index dbc293324..977ed87a1 100644
--- a/README.md
+++ b/README.md
@@ -1,104 +1 @@
-# ecl [![Build Status](https://github.com/equinor/libecl/workflows/ecl%20testing/badge.svg)](https://github.com/equinor/libecl/actions)
-
-
-*ecl* is a package for reading and writing the result files from
-the Eclipse reservoir simulator. The file types covered are the
-restart, init, rft, summary and grid files. Both unified and
-non-unified and formatted and unformatted files are supported.
-
-*ecl* is mainly developed on *Linux* and *macOS*, in addition there
-is a portability layer which ensures that most of the functionality is
-available on *Windows*. The main functionality is written in C/C++, and
-should typically be linked in in other compiled programs. *ecl* was
-initially developed as part of the [Ensemble Reservoir
-Tool](http://github.com/Equinor/ert), other applications using
-*ecl* are the reservoir simulator flow and Resinsight from the [OPM
-project](http://github.com/OPM/).
-
-### Dependencies
-
-Regardless of how you build *ecl*, it will depend on the following system-level
-components.
-
-| Software                                           | Debian / Ubuntu | RHEL / Fedora | macOS                |
-|----------------------------------------------------|-----------------|---------------|----------------------|
-| `libz`                                             | `zlib1g-dev`    | `zlib-devel`  | _builtin_            |
-| [Conan](https://conan.io)                          | N/A             | N/A           | `conan` _(Homebrew)_ |
-| [pipx](https://pypi.org/project/pipx) _(Optional)_ | `pipx`          | `pipx`        | `pipx` _(Homebrew)_  |
-
-Note: The Conan package manager is not available for most Linux systems. Conan
-recommends installing it via `pip`. If using `pipx`, simply `pipx install conan`
-and it'll be availabe for your user regardless if you're using a virtualenv or
-not.
-
-### Alternative 1: Python only ###
-For small interactive scripts, such as forward models, the recommended way to
-use *ecl* is by installing it from PyPI. This method doesn't require setting
-`PYTHONPATH` or `LD_LIBRARY_PATH` environment variables:
-
-```
-$ pip install ecl
-```
-
-### Alternative 2: C library only ###
-This is for when you need to link directly with the *ecl* C library, but
-don't need the Python bindings. *ecl* requires a conforming C++11 or later
-compiler such as GNU GCC, the CMake build system and, optionally, zlib.
-
-```bash
-$ git clone https://github.com/Equinor/ecl
-$ mkdir ecl/build
-$ cd ecl/build
-$ cmake ..
-$ make
-$ make install
-```
-
-To install *ecl* in a non-standard location, add
-`-DCMAKE_INSTALL_PREFIX=/path/to/install` to the first `cmake` command. Remember
-to set `LD_LIBRARY_PATH=/path/to/install/lib64:$LD_LIBRARY_PATH` if you do use a
-non-standard location for your program to find `libecl.so`.
-
-If you intend to develop and change *ecl* you should build the tests by
-passing `-DBUILD_TESTS=ON` and run the tests with `ctest`.
-
-### Alternative 3: C library with Python bindings ###
-It is also possible to install both the C library and Python bindings using
-CMake. Note that this alternative is incompatible with *ecl* installed from
-PyPI (_Alternative 1_). As before, we require a conforming C++11 or later
-compiler, CMake and, optionally, zlib.
-
-```bash
-$ git clone https://github.com/Equinor/ecl
-$ mkdir ecl/build
-$ cd ecl/build
-$ pip install -r ../requirements.txt
-$ cmake .. -DENABLE_PYTHON=ON
-$ make
-$ make install
-```
-
-You will most likely want to install *ecl* into a Python virtual environment.
-First activate the virtualenv, then add the argument
-`-DCMAKE_INSTALL_PREFIX=$(python -c "import sys; print(sys.prefix)")` to the
-`cmake` command when building.
-
-Then, you must tell Python where to find the package[1]:
-
-```bash
-$ export PYTHONPATH=/path/to/install/lib/python2.7/site-packages:$PYTHONPATH
-$ export LD_LIBRARY_PATH=/path/to/install/lib64:$LD_LIBRARY_PATH
-```
-
-Then you can fire up your Python interpreter and try it out:
-```python
->>> from ecl.summary import EclSum
->>> import sys
-
->>> summary = EclSum(sys.argv[1])
->>> fopt = summary.numpy_vector("FOPT")
-```
-
-The installation with Python enabled is described in a [YouTube video](https://www.youtube.com/watch?v=Qqy1vA1PSk8) by Carl Fredrik Berg.
-
-[1]: The exact paths here will depend on your system and Python version. The example given is for a RedHat system with Python version 2.7.
+ecl has been renamed to [resdata](https://github.com/equinor/resdata).