# Manage Projects
{% hint style="info" %}
**You are looking at the old Evidently documentation**: this API is available with versions 0.6.7 or lower. Check the newer version [here](https://docs.evidentlyai.com/introduction).
{% endhint %}
Before creating a Project, you need a Workspace.
* In Evidently Cloud, your account is your Workspace. [Set up an account and connect from Python](/setup/cloud_account.md).
* In self-hosted deployments, a Workspace is a remote or local directory. [Create and connect to a workspace](/setup/self_hosting.md).
## Create a Project
You can create a Project using the Python API or directly in the user interface.
### Add a new Project - API
To create a Project inside a workspace `ws` and Organization ([see organizations](https://app.evidently.cloud/organizations)) with an `org_id`, assign a name and description, and save the changes:
```
project = ws.create_project("My test project", org_id="YOUR_ORG_ID")
project.description = "My project description"
project.save()
```
In self-hosted open-source installation, you do not need to pass the Team ID. To create a Project:
```
project = ws.create_project("My test project")
project.description = "My project description"
project.save()
```
### Add a new Project - UI
Click on the “plus” sign on the home page, type your Project name and description.
After creating a Project, you can click to open a Dashboard. Since there's no data yet, it will be empty.
**Project ID**. Once you run `create_project`, you will see the Project ID. You can later use it to reference the Project. You can also copy the Project ID directly from the UI: it appears above the monitoring Dashboard.
## Manage Project
### Connect to a Project
To connect to an existing Project from Python, use the `get_project` method.
```python
project = ws.get_project("PROJECT_ID")
```
### Save changes
After making changes to the Project (such as editing description or adding monitoring Panels), always use the `save()` command:
```python
project.save()
```
### Browse Projects
You can see all available Projects on the monitoring homepage, or request a list programmatically. To get a list of all Projects in a workspace `ws`, use:
```python
ws.list_projects()
```
To find a specific Project by its name, use the `search_project` method:
```python
ws.search_project("project_name")
```
### \[DANGER] Delete Project
{% hint style="danger" %}
**You are deleting the data in a Project**. If you delete a Project, you will delete all the snapshots stored inside it.
{% endhint %}
{% tabs %}
{% tab title="API" %}
To delete the Project and all the data inside it:
```
# ws.delete_project("PROJECT ID")
```
{% endtab %}
{% tab title="UI" %}
Go to the "home page", and hover over a Project name. Click on the bin sign and confirm that you want to delete the Project.
{% endtab %}
{% endtabs %}
## Project parameters
Each Project has the following parameters.
| Parameter | Description |
| ----------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `name: str` | Project name. |
| `id: UUID4 = Field(default_factory=uuid.uuid4)` | Unique identifier of the Project. Assigned automatically. |
| `description: Optional[str] = None` | Optional description. Visible when you browse Projects. |
| `dashboard: DashboardConfig` | Dashboard configuration that describes the composition of the monitoring Panels.
Note: See Dashboard Design for details. You don't need to explicitly pass DashboardConfig if you use the .dashboard.add\_panel method to add Panels.
|
| `date_from: Optional[datetime.datetime] = None` | Start DateTime of the monitoring Dashboard. By default, Evidently shows data for all available periods based on the snapshot timestamps.
You can set a different DateTime. E.g., to refer to the last 30 days:
from datetime import datetime, timedelta
datetime.now() + timedelta(-30)
|
| `date_to: Optional[datetime.datetime] = None` | End DateTime of the monitoring Dashboard.
Works the same as above.
|
## What’s next?
Once you create or connect to a Project, you can:
* [Send snapshots](/user-guide/evaluations/snapshots.md) using the `add_report` or `add_test_suite` methods.
* Configure the monitoring Dashboard in the [user interface](/user-guide/dashboard/add_dashboard_tabs.md) or via the [Python API](/user-guide/dashboard/design_dashboard_api.md).
---
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