ClearML DataOps

Data Store Automation

Automate data collection into searchable, accessible, and ML-ready data repositories

The DataOps process by ClearML

Turn your code into a data store

Transform feature engineering and data processing code into recurring data ingestion workflows. Start building data stores, develop, automate, and schedule complex data processing jobs.

Version any data

Create immutable and differentiable versions on-prem or in the cloud with our data agnostic solution.

Share, discover, and re-use data

Share data across R&D teams with searchable data catalogs available on any environment.

ClearML integrates with the tools you already use

Automatic integration with industry tools extended with a full programmatic interface to customize and build your solution on top.

TensorFlow : Brand Short Description Type Here.
Keras : Brand Short Description Type Here.
Pytorch : Brand Short Description Type Here.
Learn : Brand Short Description Type Here.
XGBoost : Brand Short Description Type Here.
Mxnet : Brand Short Description Type Here.
Jupyter : Brand Short Description Type Here.
Pandas : Brand Short Description Type Here.
Amazon SageMaker : Brand Short Description Type Here.
Matplotlib : Brand Short Description Type Here.
Seaborn : Brand Short Description Type Here.
Pytorch Lightning : Brand Short Description Type Here.
Python : Brand Short Description Type Here.
TensorBoard : Brand Short Description Type Here.
Pytorch Ignite : Brand Short Description Type Here.
KubeFlow : Brand Short Description Type Here.
KubeFlow : Brand Short Description Type Here.
KubeFlow : Brand Short Description Type Here.
Amazon : Brand Short Description Type Here.
Azure : Brand Short Description Type Here.
Ceph : Brand Short Description Type Here.
Google : Brand Short Description Type Here.
Mino : Brand Short Description Type Here.
Openshift : Brand Short Description Type Here.

Learn how Theator utilized the ClearML holistic DataOps approach to build a continuous training framework, scaling their surgical intelligence platform together with new data coming in.

Theator’s case-study demonstrates the ins and outs of the ClearML platform integration, including data and metadata management, MLOps, orchestration, and automation components.
Case study

DataOps and beyond

ClearML DataOps integrates seamlessly with ClearML Deploy and ClearML Orchestrate, leveraging end-to-end cross-department visibility in your research, development, and production.

ClearML Experiment

ClearML DataOps

ClearML Remote

ClearML Hyper-Datasets

Get Started with ClearML for free

Trusted by thousands of teams around the world, ClearMl installs in 2 minutes.

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