Thread for Engineers

Your simulation data has provenance. Start treating it that way.

Thread tracks every simulation from geometry through solver settings, reference quantities, and derived outputs to final plots. Every result knows where it came from — and you can interrogate it.

Interrogate Your Data

Click any point. See everything behind it.

Select a data point on any plot and instantly see every attribute associated with it — the geometry, mesh, solver settings, reference quantities, and run conditions that produced that number. No more hunting through folders to figure out which run gave you that outlier.

Change Control

Flag critical quantities. Require approval to change them.

Reference quantities like Sref, MAC, and moment centers can be designated as owned items. Changes require approval from the owner before they land on main. Experimental changes are prompted onto a branch automatically — so the production database is never at risk.

Conversations in the Data

Everything is a commentable object.

A run, a design condition, a reference quantity, a plot — comment on any of them. The conversation lives with the data, not in a Slack thread you'll never find again. The data is the place where technical discussions are held.

Explore Relationships

Find variance and correlations across your entire dataset.

The correlogram shows every relationship in your parameter space at a glance. Browse randomly to find unexpected patterns, or filter by relationship type. Works in 2D scatter and 3D surface views. Click an outlier — trace it back to the run that produced it.

Python SDK

If you can run it with Python, you can put the data into Thread.

Flow360 results sync automatically. For everything else — AVL, VSPAERO, OpenFOAM, your in-house wrapper — add two lines and a decorator to your Python script. Data syncs to Thread, and is cached against Thread so repeated runs are free.

SDK available in private beta — not yet on PyPI. Request access.

Everything is Linked

Click a plot point — see the flowfield.

Every plot is connected to the simulation that produced it. Click a point on CL vs. α and see the surface pressure. This works for derived quantities too — plot Short Period Mode Natural Frequency vs. VEAS, click a point, and see the data that produced it.

And yes — that means you can use Thread to identify gaps in your derived-quantity maps and fill them.

Works with any solver callable from Python — SDK in private beta, not yet on PyPI
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Watch the Thread anthem on YouTube
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thread@flexcompute.com