ClearML
Open-source MLOps platform for experiment tracking, orchestration and data management, with a REST API for tasks and models.
- Category
- Cloud & Data Platforms
- Type
- MLOps
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password, Access token
- Docs
- ClearML API docs
02Data
What you can sync.
- Tasks
- Models
- Projects
- Queues
- Scalars
Put ClearML tasks next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other ClearML data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- An access token
ClearML uses a username and password or an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in ClearML if you need help.
04How it works
How it works in DataMind.
-
Pick ClearML.
Open Lake, pick ClearML in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the ClearML API docs.
-
Answer a few questions.
The AI reads the ClearML documentation, then asks which credentials you will use, which data to sync (for example tasks and models), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then ClearML data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
