Home InternationalIntroducing core.async.flow...
International⭐ Featured

Introducing core.async.flow

core.async 1.9.808-alpha1 is now available, featuring the first release of core.async.flow . You can read more about core.async.flow in the rationale and the docs . core.async.flow is in alpha state - all APIs are still subject to change but we welcome your feedback as we move towards a non-alpha release. This release also adds datafy support for channels and buffers. core.async.flow-monitor In addition, we are today releasing core.async.flow-monitor v0.1.0, which is a tool for visualizing a flow’s processes as SVG (viewable inline in Calva or Cursive!), and dynamically monitoring and interacting with flows as they are running.

6 April 2026 at 06:45 pm
1 views
Introducing core.async.flow

core.async, a popular library for managing concurrency in Clojure, has recently released version 1.9.808-alpha1, which introduces the first version of core.async.flow. This new feature aims to simplify the management of complex concurrent workflows by providing a more intuitive and structured approach to handling channels and buffers. While core.async.flow is still in its alpha stage, with all APIs subject to change, the developers are eager to gather feedback from the community to refine the feature before a stable release.

The core.async.flow library introduces a set of abstractions that make it easier to design and manage concurrent processes. It provides a high-level API for creating and managing workflows, allowing developers to focus on the logic of their applications rather than the intricacies of concurrency. The library is built on top of core.async's existing channel and buffer primitives, offering a more user-friendly interface for handling data flow between processes.

One of the key features of core.async.flow is its support for datafy, a library that helps manage data structures in a concurrent environment. With this integration, core.async.flow now provides datafy support for channels and buffers, ensuring that data is handled safely and efficiently across concurrent processes. This enhancement is particularly useful for applications that require complex data management and synchronization.

In addition to the release of core.async 1.9.808-alpha1, the core.async team is also introducing core.async.flow-monitor, a tool designed to visualize and monitor the processes within a flow. This new library, currently in version 0.1.0, generates SVG visualizations that provide a clear and interactive view of the flow's processes. These visualizations can be displayed inline in popular Clojure IDEs such as Calva and Cursive, making it easier for developers to understand and debug their concurrent workflows.

core.async.flow-monitor goes beyond simple visualization, offering dynamic monitoring and interaction capabilities. As flows run, developers can observe their behavior in real-time, identify bottlenecks, and troubleshoot issues more efficiently. This feature is invaluable for applications that rely heavily on concurrency, as it allows developers to gain insights into the performance and behavior of their systems.

While core.async.flow and core.async.flow-monitor are still in their early stages, the alpha release marks an important milestone in the evolution of core.async. The developers are actively seeking feedback from the community to shape the final release, ensuring that the libraries meet the needs of both new and experienced Clojure developers. As the project progresses towards a stable release, these tools promise to simplify the management of concurrent applications and enhance the overall development experience.

In conclusion, the introduction of core.async.flow and core.async.flow-monitor represents a significant advancement in Clojure's concurrency management capabilities. With a focus on simplifying complex workflows and providing intuitive tools for visualization and monitoring, these libraries hold great potential for improving the efficiency and maintainability of concurrent applications. As the core.async team continues to refine these features, the Clojure community can look forward to a more streamlined approach to handling concurrency in the years to come.

Source: Clojure News
📰 Related News
Ollama 0.2.6 Released with Native Gemma 4 Support and Enhanced Performance
Ollama 0.2.6 Released with Native Gemma 4 Support and Enhanced Performance
Ollama 0.2.6 is now live, featuring native support for Google's Gemma 4 models and improved local inference performance for Windows, macOS, and Linux.
14 Apr
Weekly news roundup: Shortages spread to MLCCs; SK Hynix reportedly in talks with Microsoft and Google
Weekly news roundup: Shortages spread to MLCCs; SK Hynix reportedly in talks with Microsoft and Google
Below are the most-read DIGITIMES Asia stories from the week of April 6-April 13, 2026:
14 Apr
cutile-stencil 0.2.0
cutile-stencil 0.2.0
An xDSL-based stencil compiler that generates optimized GPU kernels via NVIDIA cuTile
14 Apr
merlin-llm added to PyPI
merlin-llm added to PyPI
Merlin — a fast local LLM for agentic coding on Apple Silicon
14 Apr
Fluent Cut - Craft and compose videos programmatically in PHP with an elegant fluent API
Fluent Cut - Craft and compose videos programmatically in PHP with an elegant fluent API
Craft and compose videos programmatically in PHP with an elegant fluent API - b7s/fluentcut
14 Apr
Crypto Investor at Center of Trump Corruption Allegations Now Sees Himself as ‘Victim’
Crypto Investor at Center of Trump Corruption Allegations Now Sees Himself as ‘Victim’
Justin Sun has accused Trump-affiliated World Liberty Financial of misconduct and a general lack of transparency.
14 Apr
nvidia-nat-weave 1.7.0a20260413
nvidia-nat-weave 1.7.0a20260413
Subpackage for Weave integration in NeMo Agent Toolkit
14 Apr
nvidia-nat-s3 1.7.0a20260413
nvidia-nat-s3 1.7.0a20260413
Subpackage for S3-compatible integration in NeMo Agent Toolkit
14 Apr
Social Security Trust Fund to Run Dry in 2032: Just 6 Years From Now
Social Security Trust Fund to Run Dry in 2032: Just 6 Years From Now
Six years. That is how much time separates retirees from a Social Security system that, by its own projections, runs out of money. If you are 56 years old...
14 Apr
cane-gpu-perf added to PyPI
cane-gpu-perf added to PyPI
GPU inference benchmarking with opinionated diagnostics
13 Apr