fix: rename to ydata-fabric-sdk (#140)

README.md

@@ -4,14 +4,14 @@
 <p align="center"><img width="500" src="https://assets.ydata.ai/sdk/logo_SDK_col_red_black.png" alt="YData Logo"></p>
 <p></p>
 
-[![pypi](https://img.shields.io/pypi/v/ydata-sdk)](https://pypi.org/project/ydata-sdk)
+[![pypi](https://img.shields.io/pypi/v/ydata-fabric-sdk)](https://pypi.org/project/ydata-fabric-sdk)
 ![Pythonversion](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10%20%7C%203.11%20%7C%203.12-blue)
-[![downloads](https://pepy.tech/badge/ydata-sdk/month)](https://pepy.tech/project/ydata-sdk)
+[![downloads](https://pepy.tech/badge/ydata-fabric-sdk/month)](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

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')
 

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.
 

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"

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:
 

docs/sdk/index.md

@@ -1,6 +1,6 @@
-[![pypi](https://img.shields.io/pypi/v/ydata-sdk)](https://pypi.org/project/ydata-sdk)
+[![pypi](https://img.shields.io/pypi/v/ydata-fabric-sdk)](https://pypi.org/project/ydata-fabric-sdk)
 ![Pythonversion](https://img.shields.io/badge/python-3.8%20%7C%203.9%20%7C%203.10-blue)
-[![downloads](https://pepy.tech/badge/ydata-sdk/month)](https://pepy.tech/project/ydata-sdk)
+[![downloads](https://pepy.tech/badge/ydata-fabric-sdk/month)](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.

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).

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:

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

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"

pyproject.toml

@@ -7,7 +7,7 @@ requires = [
 ]
 
 [project]
-name = "ydata-sdk"
+name = "ydata-fabric-sdk"
 authors = [
     {name = "YData", email = "[email protected]"},
 ]
@@ -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 = [