diff --git a/doc/source/getting_started/installation.rst b/doc/source/getting_started/installation.rst
index 172c40a62..1129ebca6 100644
--- a/doc/source/getting_started/installation.rst
+++ b/doc/source/getting_started/installation.rst
@@ -16,32 +16,57 @@ Xorbits can be installed via pip from `PyPI <https://pypi.org/project/xorbits>`_
 Python version support
 ----------------------
 
-Officially Python 3.8, 3.9, 3.10 and 3.11.
+Officially Python 3.9, 3.10 and 3.11.
+
+Packages support
+----------------
+
+Xorbits partitions large datasets into chunks and processes each individual 
+chunk using single-node packages (such as pandas). Currently, our latest version strives 
+to be compatible with the latest single-node packages. The table below lists the highest 
+versions of the single-node packages that Xorbits are compatible with. If you are using 
+an older version of pandas, you should either upgrade your pandas or downgrade Xorbits.
+
+======= ========  ========= ========== =========== ===========
+Xorbits `NumPy`_  `pandas`_ `xgboost`_ `lightgbm`_ `datasets`_
+======= ========  ========= ========== =========== ===========
+0.7.4   1.26.4    2.2.3     2.1.1      4.5.0       3.0.1
+======= ========  ========= ========== =========== ===========
+
+.. _`NumPy`: https://numpy.org
+.. _`pandas`: https://pandas.pydata.org
+.. _`xgboost`: https://xgboost.readthedocs.io
+.. _`lightgbm`: https://lightgbm.readthedocs.io
+.. _`datasets`: https://huggingface.co/docs/datasets/index
+
 
 Dependencies
 ------------
 
-================================================================ ==========================
-Package                                                          Minimum supported version
-================================================================ ==========================
-`NumPy <https://numpy.org>`__                                    1.20.3
-`pandas <https://pandas.pydata.org>`__                           1.0.0
-`scipy <https://scipy.org>`__                                    1.0.0
-`scikit-learn <https://scikit-learn.org/stable>`__               0.20
-cloudpickle                                                      1.5.0
-pyyaml                                                           5.1
-psutil                                                           5.9.0
-tornado                                                          6.0
-sqlalchemy                                                       1.2.0
-defusedxml                                                       0.5.0
-tqdm                                                             4.1.0
-uvloop (for systems other than win32)                            0.14.0
-================================================================ ==========================
+Required packages
+~~~~~~~~~~~~~~~~~
+
+Xorbits depends on the following libraries, which are mandatory. When you run 
+``pip install xorbits``, ``pip`` will download the latest versions of these packages from the PyPI.
+
+- cloudpickle                                                      
+- pyyaml                                                          
+- psutil                                                          
+- tornado                                                         
+- sqlalchemy                                                      
+- defusedxml                                                      
+- tqdm                                                            
+- uvloop (for systems other than win32)                           
 
 Recommended dependencies
 ~~~~~~~~~~~~~~~~~~~~~~~~
 
-Recommended dependencies can be installed conveniently using pip.
+.. note::
+
+   You are highly encouraged to install these libraries, as they provide speed improvements,
+   especially when working with large datasets.
+
+Recommended dependencies can be installed using ``pip``.
 
 ::
 
@@ -54,21 +79,12 @@ The following extra dependencies will be installed.
 
 * `numexpr <https://github.com/pydata/numexpr>`__: for accelerating certain numerical operations.
   ``numexpr`` uses multiple cores as well as smart chunking and caching to achieve large speedups.
-  If installed, must be Version 2.6.4 or higher.
 
-* `pillow <https://python-pillow.org/>`__: the Python Imaging Library. If installed, must be
-  Version 7.0.0 or higher.
+* `pillow <https://python-pillow.org/>`__: the Python Imaging Library.
 
-* `pyarrow <https://pypi.org/project/pyarrow/>`__: python API for Arrow C++ libraries. If
-  installed, must be Version 5.0.0 or higher.
+* `pyarrow <https://pypi.org/project/pyarrow/>`__: python API for Arrow C++ libraries.
 
 * `lz4 <https://github.com/python-lz4/python-lz4>`__: python bindings for the LZ4 compression
-  library. If installed, must be Version 1.0.0 or higher.
-
-* `fsspec <https://github.com/fsspec/filesystem_spec>`__: for cloud data accessing. If installed,
-  must be Version 2022.7.1 or higher and cannot be Version 2022.8.0.
+  library.
 
-.. note::
-
-   You are highly encouraged to install these libraries, as they provide speed improvements,
-   especially when working with large data sets.
+* `fsspec <https://github.com/fsspec/filesystem_spec>`__: for cloud data accessing.