Tag: release-notes

• Tracking experiments in your MLOps pipelines with ZenML and Neptune (05 Dec 2022)
  ZenML 0.23.0 comes with a brand-new experiment tracker flavor - Neptune.ai! We dive deeper in this blog post.
• ZenML 0.22.0: BentoML Integration and A Revamped Airflow Orchestrator! (05 Nov 2022)
  This release comes with a new BentoML integration and a reworked Airflow orchestrator. We also fixed server-related performance issues and other minor improvements!
• ZenML 0.20.0: Our Biggest Release Yet! (05 Oct 2022)
  The 0.20.0 release is a seminal release in the history of ZenML. Following ten months of continuous feedback and iteration, we bring you a whole new architecture and redesign of ZenML - and a new dashboard to boot! Collaboration among teams has also been taken to a new level in the new version.
• What's New in v0.13: Spark, Custom Code Deployment, Stack Recipes, and More (21 Sep 2022)
  This release blog describes the changes for three releases v0.13.0 (major release), v0.13.1 and v0.13.2 (minor releases). v0.13.0 brings the first iteration of our Apache Spark integration. v0.13.1 and v0.13.2 includes several bugfixes and quality of life improvements for ZenML users.
• What's New in v0.12.0: Serverless Inferencing on Kubernetes with KServe (02 Aug 2022)
  This release brings KServe integration to ZenML.
• What's New in v0.11.0: Label All The Things! (19 Jul 2022)
  This release brings the first iteration of the ZenML annotation stack component and an integration with Label Studio, the popular open-source tool that supports many annotation types. We've also made significant updates to our documentation.
• What's New in v0.10.0: A Kubernetes Native Orchestrator! (28 Jun 2022)
  This release brings the highly-requested Kubernetes Orchestrator and a Vault secret manager to ZenML! We have also added Data Validators as a new stack component and an implementation for Great Expectations to kick things off.
• What's New in v0.9.0: Everyone Gets an Orchestrator! (13 Jun 2022)
  We added two new orchestrators (Github Actions and Vertex AI), an Azure Secrets Manager integration, a Slack integration and a bunch of other smaller changes in the latest release.
• What's New in v0.8.0: Extend ZenML Any Way You Like! (18 May 2022)
  Release notes for the new version of ZenML. We've added a ton of extensibility improvements, documentation and guides that take away most of the hard work of figuring out how to add custom components. Our CLI also has been beautified and it should even run a bit faster too!
• What's New in v0.7.2 and v0.7.3: HuggingFace, Weights & Biases, LightGBM, XGBoost, and more! (28 Apr 2022)
  The release adds experiment tracking stack components, integrations with HuggingFace, Weights & Biases and also improvements to how the Seldon Core deployer handles secrets from the secrets manager component.
• What's New in v0.7.1: Fetch data from your feature store and deploy models on Kubernetes (11 Apr 2022)
  The release introduces the Seldon Core ZenML integration, featuring the Seldon Core Model Deployer and a Seldon Core standard model deployer step. It also includes two new integrations with Feast as ZenML's first feature store addition and NeuralProphet adding to the growing list of training libraries supported.
• What's New in v0.7.0: 🔡 User Profiles and Secret Storage 🤫 (28 Mar 2022)
  Release notes for the new version of ZenML. We've added the ability to store your stacks in profiles accessible system-wide instead of just in individual project folders. We also added a way to store and retrieve passwords and secrets, including the possibility to integrate the AWS Secrets Manager. Also: run individual steps on Vertex AI.
• What's New in v0.6.3: Run Steps on Sagemaker and AzureML ☁️ (14 Mar 2022)
  Release notes for the new version of ZenML. We've added the ability to run steps on AWS Sagemaker and AzureML. We added a new Tensorboard visualization that runs when using the Kubeflow orchestrator. You'll also find a lot of smaller improvements, documentation additions and bug fixes in this release.
• What's New in v0.6.2: ♻️ Continuous Deployment and a fresh CLI 👩‍💻 (23 Feb 2022)
  Release notes for the new version of ZenML. We've added the ability to serve models using MLflow deployments, and we've refreshed how our CLI looks using the popular 'rich' library. You'll also find a lot of smaller improvements, documentation additions and bug fixes in this release.
• What's New in v0.6.1: Reach for the AWS and Azure Cloud! ☁️ (07 Feb 2022)
  Release notes for the new version of ZenML. We now support AWS S3 and Azure Blob Storage as artifact stores. You'll also find a lot of smaller improvements and bug fixes in this release.
• What's New in v0.6.0: whylogs integration and some big core architecture changes (26 Jan 2022)
  Release notes for the new version of ZenML. ZenML now supports whylogs (from whylabs) that logs data from your ML pipelines in production. We also made some sizeable (breaking 😢) core architecture changes
• What's New in v0.5.7 (17 Jan 2022)
  Release notes for the new version of ZenML. ZenML now supports MLFlow for tracking pipelines as experiments and Evidently for detecting drift in your ML pipelines in production.
• What's New in v0.5.6 (23 Dec 2021)
  Release notes for the new version of ZenML.
• What's New in v0.5.5 (13 Dec 2021)
  Release notes for the new version of ZenML.
• What's New in v0.5.4 (06 Dec 2021)
  Release notes for the new version of ZenML.
• What's New in v0.5.3 (24 Nov 2021)
  Release notes for the new version of ZenML.
• Introducing the revamped ZenML 0.5.x (16 Nov 2021)
  We rewrote much of our code base to make it more robust and also to enable new features.