Pythonic worker pools and pipelines for speedy and resilient workloads
Concurrent software changes what’s possible — but it’s notoriously hard to get right. Threadr builds the missing tools and frameworks that let you parallelize your systems without the pitfalls.
Concurrency is a battlefield of deadlocks, race conditions, and memory leaks. Even when it “works,” can you trust it?
Our frameworks make safety the default — isolating hazards, surfacing errors, and preventing silent failures before they happen.
What starts as a simple async/await
often spirals into a web of queues, runners, and brittle callbacks. We turn the mess back into clean, composable code that’s easy to read, reason about, and extend.
By decoupling your business logic from concurrency boilerplate, you gain the freedom to compose powerful workflows — on demand, for every use case.
Whether you’re building ETL pipelines, WebSocket services, pub/sub systems, or real-time streaming backends, Threadr gives you the foundations to run them faster, safer, and cleaner.
We ship battle-tested libraries and tooling so you can build resilient concurrent systems right away.
Pythonic worker pools and pipelines for speedy and resilient workloads
Golang iter tools. Composable async & concurrency patterns for Go without the boilerplate.
Lightweight dataframe written in rust for blazingly fast data science.
Learn how Threadr can supercharge your systems and simplify concurrency for good.