We just released the latest Pennsieve Agent, and Pennsieve Python client with support for timeseries streaming. It is now possible to directly stream time-ranges of data from timeseries files directly into Panda's Data Frames or CSV files (using the CLI). The figure below outlines the overall structure of the new service.

Today, we launched our new metadata schema manager in the Pennsieve web application. Although the underlying functionality of the metadata support has not changed, the updated manager makes it significantly easier for users to create models, define properties of those models, and link models through relationships. This work is in anticipation of a larger effort this year to refactor and improve our support for complex metadata within Pennsieve Workspaces.

We are excited to announce the release of Pennsieve Platform Version 33.0.0, featuring a major upgrade to Vue 3, Custom Themed Workspaces, Integrated Documentation and a CSV/Excel file viewer.

Overview

Support for Guest / External Users

The Pennsieve platform released two new capabilities today:

Files details pages in Pennsieve Discover

Updates to Search capabilities

A number of small bug-fixes have been released to ensure better performance of the platform.

It is now possible to associate folders with metadata records. This allows you to attach metadata to folders and find folders based on queries over the metadata. For example, it is now possible to upload files for an experiment and store files from a particular sample in a single folder. When you create a metadata model to capture all relevant information about the sample and point this record at the folder, the folder is findable by querying over the metadata.