DataKitchen · datakitchen-devops · May 15, 2026 · May 1, 2026 · May 4, 2026 · May 5, 2026
diff --git a/README.md b/README.md
@@ -29,199 +29,12 @@ A <b>single place to manage Data Quality</b> across data sets, locations, and te
 <img alt="DataKitchen Open Source Data Quality TestGen Features - Single Place" src="https://datakitchen.io/wp-content/uploads/2024/07/Screenshot-dataops-testgen-centralize.png" width="70%">
 </p>
 
-## Installation with dk-installer (recommended)
+## Installation
 
-The [dk-installer](https://github.com/DataKitchen/data-observability-installer/?tab=readme-ov-file#install-the-testgen-application) program installs DataOps Data Quality TestGen as a [Docker Compose](https://docs.docker.com/compose/) application. This is the recommended mode of installation as Docker encapsulates and isolates the application from other software on your machine and does not require you to manage Python dependencies.
+The [dk-installer](https://github.com/DataKitchen/data-observability-installer/?tab=readme-ov-file#install-the-testgen-application) program installs TestGen in either Docker or pip mode. For complete instructions, see the documentation:
 
-### Install the prerequisite software
-
-| Software                | Tested Versions               | Command to check version                |
-|-------------------------|-------------------------|-------------------------------|
-| [Python](https://www.python.org/downloads/) <br/>- Most Linux and macOS systems have Python pre-installed. <br/>- On Windows machines, you will need to download and install it.  <br/> Why Python?  To run the installer.       | 3.9, 3.10, 3.11, 3.12                | `python3 --version`                |
-| [Docker](https://docs.docker.com/get-docker/) <br/>[Docker Compose](https://docs.docker.com/compose/install/)  <br/> Why Docker?  Docker lets you try TestGen without affecting your local software environment.  All the dependencies TestGen needs are isolated in its own container, so installation is easy and insulated.  | 26.1, 27.5, 28.0 <br/> 2.32, 2.33, 2.34        | `docker -v` <br/> `docker compose version`         |
-
-### Download the installer
-
-On Unix-based operating systems, use the following command to download it to the current directory. We recommend creating a new, empty directory.
-
-```shell
-curl -o dk-installer.py 'https://raw.githubusercontent.com/DataKitchen/data-observability-installer/main/dk-installer.py'
-```
-
-* Alternatively, you can manually download the [`dk-installer.py`](https://github.com/DataKitchen/data-observability-installer/blob/main/dk-installer.py) file from the [data-observability-installer](https://github.com/DataKitchen/data-observability-installer) repository.
-* All commands listed below should be run from the folder containing this file.
-* For usage help and command options, run `python3 dk-installer.py --help` or `python3 dk-installer.py <command> --help`.
-
-### Install the TestGen application
-
-The installation downloads the latest Docker images for TestGen and deploys a new Docker Compose application. The process may take 5~10 minutes depending on your machine and network connection.
-
-```shell
-python3 dk-installer.py tg install
-```
-
-The `--port` option may be used to set a custom localhost port for the application (default: 8501).
-
-To enable SSL for HTTPS support, use the `--ssl-cert-file` and `--ssl-key-file` options to specify local file paths to your SSL certificate and key files.
-
-Once the installation completes, verify that you can login to the UI with the URL and credentials provided in the output.
-
-### Optional: Run the TestGen demo setup
-
-The [Data Observability quickstart](https://docs.datakitchen.io/tutorials/quickstart-demo/) walks you through DataOps Data Quality TestGen capabilities to demonstrate how it covers critical use cases for data and analytic teams.
-
-```shell
-python3 dk-installer.py tg run-demo
-```
-
-In the TestGen UI, you will see that new data profiling and test results have been generated.
-
-## Installation with pip
-
-As an alternative to the Docker Compose [installation with dk-installer (recommended)](#installation-with-dk-installer-recommended), DataOps Data Quality TestGen can also be installed as a Python package via [pip](https://pip.pypa.io/en/stable/). This mode of installation uses the [dataops-testgen](https://pypi.org/project/dataops-testgen/) package published to PyPI, and it requires a PostgreSQL instance to be provisioned for the application database.
-
-### Install the prerequisite software
-
-| Software                                                                                                                                                                         | Tested Versions  | Command to check version               |
-|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------|------------------------------|
-| [Python](https://www.python.org/downloads/) <br/>- Most Linux and macOS systems have Python pre-installed. <br/>- On Windows machines, you will need to download and install it. | 3.11, 3.12, 3.13 | `python3 --version`               |
-| [PostgreSQL](https://www.postgresql.org/download/)                                                                                                                                                                     | 14.1, 15.8, 16.4       | `psql --version`|
-
-### Install the TestGen package
-
-We recommend using a Python virtual environment to avoid any dependency conflicts with other applications installed on your machine. The [venv](https://docs.python.org/3/library/venv.html#creating-virtual-environments) module, which is part of the Python standard library, or other third-party tools, like [virtualenv](https://virtualenv.pypa.io/en/latest/) or [conda](https://docs.conda.io/en/latest/), can be used.
-
-Create and activate a virtual environment with a TestGen-compatible version of Python (`>=3.11`). The steps may vary based on your operating system and Python installation - the [Python packaging user guide](https://packaging.python.org/en/latest/tutorials/installing-packages/) is a useful reference.
-
-_On Linux/Mac_
-```shell
-python3 -m venv venv
-source venv/bin/activate
-```
-
-_On Windows_
-```powershell
-py -3.13 -m venv venv
-venv\Scripts\activate
-```
-
-Within the virtual environment, install the TestGen package with pip.
-```shell
-pip install dataops-testgen
-```
-
-Verify that the [_testgen_ command line](https://docs.datakitchen.io/testgen/cli-reference/) works.
-```shell
-testgen --help
-```
-
-### Set up the application database in PostgresSQL
-
-Create a `local.env` file with the following environment variables, replacing the `<value>` placeholders with appropriate values. Refer to the [TestGen Configuration](docs/configuration.md) document for more details, defaults, and other supported configuration.
-```shell
-# Connection parameters for the PostgreSQL server
-export TG_METADATA_DB_HOST=<postgres_hostname>
-export TG_METADATA_DB_PORT=<postgres_port>
-
-# Connection credentials for the PostgreSQL server
-# This role must have privileges to create roles, users, database and schema so that the application database can be initialized
-export TG_METADATA_DB_USER=<postgres_username>
-export TG_METADATA_DB_PASSWORD=<postgres_password>
-
-# Set a password and arbitrary string (the "salt") to be used for encrypting secrets in the application database
-export TG_DECRYPT_PASSWORD=<encryption_password>
-export TG_DECRYPT_SALT=<encryption_salt>
-
-# Set credentials for the default admin user to be created for TestGen
-export TESTGEN_USERNAME=<username>
-export TESTGEN_PASSWORD=<password>
-
-# Set an arbitrary base64-encoded string to be used for signing authentication tokens
-export TG_JWT_HASHING_KEY=<base64_key>
-
-# Set an accessible path for storing application logs
-export TESTGEN_LOG_FILE_PATH=<path_for_logs>
-```
-
-Source the file to apply the environment variables. For the Windows equivalent, refer to [this guide](https://bennett4.medium.com/windows-alternative-to-source-env-for-setting-environment-variables-606be2a6d3e1).
-```shell
-source local.env
-```
-
-Make sure the PostgreSQL database server is up and running. Initialize the application database for TestGen.
-```shell
-testgen setup-system-db --yes
-```
-
-### Run the application modules
-
-Run the following command to start TestGen. It will open the browser at [http://localhost:8501](http://localhost:8501).
-
-```shell
-testgen run-app
-```
-
-Verify that you can login to the UI with the `TESTGEN_USERNAME` and `TESTGEN_PASSWORD` values that you configured in the environment variables.
-
-### Optional: Run the TestGen demo setup
-
-The [Data Observability quickstart](https://docs.datakitchen.io/tutorials/quickstart-demo/) walks you through DataOps Data Quality TestGen capabilities to demonstrate how it covers critical use cases for data and analytic teams.
-
-```shell
-testgen quick-start
-```
-
-In the TestGen UI, you will see that new data profiling and test results have been generated.
-
-## Useful Commands
-
-The [dk-installer](https://github.com/DataKitchen/data-observability-installer/?tab=readme-ov-file#install-the-testgen-application) and [docker compose CLI](https://docs.docker.com/compose/reference/) can be used to operate the TestGen application installed using dk-installer. All commands must be run in the same folder that contains the `dk-installer.py` and `docker-compose.yml` files used by the installation.
-
-### Remove demo data
-
-After completing the quickstart, you can remove the demo data from the application with the following command.
-
-```shell
-python3 dk-installer.py tg delete-demo
-```
-
-### Upgrade to latest version
-
-New releases of TestGen are announced on the `#releases` channel on [Data Observability Slack](https://data-observability-slack.datakitchen.io/join), and release notes can be found on the [DataKitchen documentation portal](https://docs.datakitchen.io/testgen/release-notes/). Use the following command to upgrade to the latest released version.
-
- ```shell
- python3 dk-installer.py tg upgrade
- ```
-
-### Uninstall the application
-
-The following command uninstalls the Docker Compose application and removes all data, containers, and images related to TestGen from your machine.
-
-```shell
-python3 dk-installer.py tg delete
-```
-
-### Access the _testgen_ CLI
-
-The [_testgen_ command line](https://docs.datakitchen.io/testgen/cli-reference/) can be accessed within the running container.
-
-```shell
-docker compose exec engine bash
-```
-
-Use `exit` to return to the regular terminal.
-
-### Stop the application
-
-```shell
-docker compose down
-```
-
-### Restart the application
-
-```shell
-docker compose up -d
-```
+* [Install on Mac/Linux](https://docs.datakitchen.io/testgen/get-started/install-on-mac-linux/)
+* [Install on Windows](https://docs.datakitchen.io/testgen/get-started/install-on-windows/)
 
 ## What Next?
 

diff --git a/pyproject.toml b/pyproject.toml
@@ -8,7 +8,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "dataops-testgen"
-version = "5.32.2"
+version = "5.33.2"
 description = "DataKitchen's Data Quality DataOps TestGen"
 authors = [
     { "name" = "DataKitchen, Inc.", "email" = "info@datakitchen.io" },