diff --git a/README.md b/README.md
index a67f371b..b4bc141e 100644
--- a/README.md
+++ b/README.md
@@ -4,14 +4,14 @@

-[](https://pypi.org/project/ydata-sdk)
+[](https://pypi.org/project/ydata-fabric-sdk)

-[](https://pepy.tech/project/ydata-sdk)
+[](https://pepy.tech/project/ydata-fabric-sdk)
---
🚀 YData SDK Version 1.0 Released! 🎉 - Data quality everywhere!
-*ydata-sdk* v1 is here! Create a [YData Fabric account](https://ydata.ai/ydata-fabric-free-trial) so you can start using today!
+*ydata-fabric-sdk* v1 is here! Create a [YData Fabric account](https://ydata.ai/ydata-fabric-free-trial) so you can start using today!
We are excited to announce the release of YData Fabric SDK v1.0! This major release marks the beginning of long-term support for the package,
ensuring stability, continuous improvements, and ongoing support for all users. YData SDK empowers developers with easy access to state-of-the-art
diff --git a/docs/integrations/databricks/integration_with_sdk.md b/docs/integrations/databricks/integration_with_sdk.md
index 36c9a079..771df443 100644
--- a/docs/integrations/databricks/integration_with_sdk.md
+++ b/docs/integrations/databricks/integration_with_sdk.md
@@ -1,6 +1,6 @@
# YData SDK in Databricks Notebooks
-The [YData Fabric SDK](https://pypi.org/project/ydata-sdk/) provides a powerful set of tools for integrating and enhancing data within Databricks notebooks.
+The [YData Fabric SDK](https://pypi.org/project/ydata-fabric-sdk/) provides a powerful set of tools for integrating and enhancing data within Databricks notebooks.
This guide covers the installation, basic usage, and advanced features of the Fabric SDK, helping users maximize
the potential of their data for AI and machine learning applications.
@@ -25,7 +25,7 @@ Databricks cluster to optimize performance.
To install the YData SDK in a Databricks notebook, use the following command:
```python
-%pip install ydata-sdk
+%pip install ydata-fabric-sdk
dbutils.library.restartPython()
```
Ensure the installation is successful before proceeding to the next steps.
@@ -144,7 +144,7 @@ from ydata.sdk.synthesizers import RegularSynthesizer
pandas_df = df.toPandas()
pandas_df = pandas_df.drop('ID', axis=1)
-# Train a synthetic data generator using ydata-sdk
+# Train a synthetic data generator using ydata-fabric-sdk
synth = RegularSynthesizer(name='Synth credit scoring | Conditional')
synth.fit(pandas_df, condition_on='Label')
diff --git a/docs/integrations/databricks/overview.md b/docs/integrations/databricks/overview.md
index 1e4444f1..346331ee 100644
--- a/docs/integrations/databricks/overview.md
+++ b/docs/integrations/databricks/overview.md
@@ -26,7 +26,7 @@ These connectors streamline data transfer and ensure seamless interoperability b
- Data synchronization
### SDK
-The ^^[YData Fabric SDK](https://pypi.org/project/ydata-sdk/)^^ offers a programmatic approach to integrating with Databricks.
+The ^^[YData Fabric SDK](https://pypi.org/project/ydata-fabric-sdk/)^^ offers a programmatic approach to integrating with Databricks.
It provides developers with the tools and libraries needed to automate and customize data workflows between
YData Fabric and Databricks.
diff --git a/docs/sdk/examples/synthesize_tabular_data.md b/docs/sdk/examples/synthesize_tabular_data.md
index dd49099a..fe32d1e3 100644
--- a/docs/sdk/examples/synthesize_tabular_data.md
+++ b/docs/sdk/examples/synthesize_tabular_data.md
@@ -2,7 +2,7 @@
**Use YData's *RegularSynthesizer* to generate tabular synthetic data**
-For a more detailed tutorial please check [YData Fabric Academy ydata-sdk notebooks](https://github.com/ydataai/academy/tree/master).
+For a more detailed tutorial please check [YData Fabric Academy ydata-fabric-sdk notebooks](https://github.com/ydataai/academy/tree/master).
```python
--8<-- "examples/synthesizer_from_pandas.py"
diff --git a/docs/sdk/examples/synthesize_timeseries_data.md b/docs/sdk/examples/synthesize_timeseries_data.md
index 55f37419..2ed2bdaf 100644
--- a/docs/sdk/examples/synthesize_timeseries_data.md
+++ b/docs/sdk/examples/synthesize_timeseries_data.md
@@ -14,7 +14,7 @@ Dissecting any time-series dataset, we see differences in variables' behavior th
- Variables that refer to entities (single or multiple entities)
- Variables that are attributes (those that don't depend on time but rather on the entity)
-For a more detailed tutorial please check [YData Fabric Academy ydata-sdk notebooks](https://github.com/ydataai/academy/tree/master).
+For a more detailed tutorial please check [YData Fabric Academy ydata-fabric-sdk notebooks](https://github.com/ydataai/academy/tree/master).
Below find an example:
diff --git a/docs/sdk/index.md b/docs/sdk/index.md
index ccd80fd5..b70a2531 100644
--- a/docs/sdk/index.md
+++ b/docs/sdk/index.md
@@ -1,6 +1,6 @@
-[](https://pypi.org/project/ydata-sdk)
+[](https://pypi.org/project/ydata-fabric-sdk)

-[](https://pepy.tech/project/ydata-sdk)
+[](https://pepy.tech/project/ydata-fabric-sdk)
The *Fabric SDK* is an ecosystem of methods that allows users to, through a python interface, adopt data development focused on improving the quality of the data.
The solution includes a set of integrated components for data ingestion, standardized data quality evaluation and data improvement, such as *synthetic data generation*, allowing an iterative improvement of the datasets used in high-impact business applications.
diff --git a/docs/sdk/installation.md b/docs/sdk/installation.md
index a51a4364..30284acd 100644
--- a/docs/sdk/installation.md
+++ b/docs/sdk/installation.md
@@ -13,15 +13,15 @@ Prior to the package installation, it is recommended the creation of a virtual o
pyenv virtualenv 3.10 ydatasdk
```
-And install `ydata-sdk`
+And install `ydata-fabric-sdk`
=== "pypi"
``` commandline
- pip install ydata-sdk
+ pip install ydata-fabric-sdk
```
##Authentication
-Once you've installed `ydata-sdk` package you will need a token to run the functionalities.
+Once you've installed `ydata-fabric-sdk` package you will need a token to run the functionalities.
YData SDK uses a token based authentication system. To get access to your token, you need to create a YData account.
YData SDK offers a free-trial and an enterprise version. To access your free-trial token, you need to create a [**YData account**](https://ydata.ai/ydata-fabric-free-trial).
diff --git a/docs/sdk/quickstart.md b/docs/sdk/quickstart.md
index 59895de8..3925b7b8 100644
--- a/docs/sdk/quickstart.md
+++ b/docs/sdk/quickstart.md
@@ -33,7 +33,7 @@ The list of available connectors can be found here [add a link].
```
The synthesis process returns a `pandas.DataFrame` object.
-Note that if you are using the `ydata-sdk` free version, all of your data is sent to a remote cluster on YData's infrastructure.
+Note that if you are using the `ydata-fabric-sdk` free version, all of your data is sent to a remote cluster on YData's infrastructure.
## Data synthesis flow
The process of data synthesis can be described into the following steps:
diff --git a/environment.yml b/environment.yml
index 53d8e741..ab0cc307 100644
--- a/environment.yml
+++ b/environment.yml
@@ -1,4 +1,4 @@
-name: ydata-sdk
+name: ydata-fabric-sdk
channels:
- defaults
dependencies:
@@ -17,4 +17,4 @@ dependencies:
- wheel=0.41.2=py310hecd8cb5_0
- xz=5.4.5=h6c40b1e_0
- zlib=1.2.13=h4dc903c_0
-prefix: /usr/local/Caskroom/miniconda/base/envs/ydata-sdk
+prefix: /usr/local/Caskroom/miniconda/base/envs/ydata-fabric-sdk
diff --git a/mkdocs.yml b/mkdocs.yml
index ef56a32b..026e8c79 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,6 +1,6 @@
site_name: "YData Fabric"
-repo_url: https://github.com/ydataai/ydata-sdk
-repo_name: ydataai/ydata-sdk
+repo_url: https://github.com/ydataai/ydata-fabric-sdk
+repo_name: ydataai/ydata-fabric-sdk
edit_uri: ""
dev_addr: 0.0.0.0:1235
site_dir: "static/docs"
diff --git a/pyproject.toml b/pyproject.toml
index a3977d47..43c02910 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -7,7 +7,7 @@ requires = [
]
[project]
-name = "ydata-sdk"
+name = "ydata-fabric-sdk"
authors = [
{name = "YData", email = "opensource@ydata.ai"},
]
@@ -50,7 +50,7 @@ dependencies = [
file = "LICENSE"
[project.urls]
-Home = "https://github.com/ydataai/ydata-sdk"
+Home = "https://github.com/ydataai/ydata-fabric-sdk"
[project.optional-dependencies]
dev = [