Skip to content
This repository was archived by the owner on Jan 16, 2026. It is now read-only.
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension


Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion Cargo.toml
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ authors = [
"Xiaolong Fu <njufxl@gmail.com>",
"Zhilei Qiu <qzl2503687@gmail.com>",
]
version = "0.5.1"
version = "0.5.2"
edition = "2021"
license = "MIT OR Apache-2.0"
description = "Dagrs follows the concept of Flow-based Programming and is suitable for the execution of multiple tasks with graph-like dependencies. Dagrs has the characteristics of high performance and asynchronous execution. It provides users with a convenient programming interface."
Expand Down
12 changes: 12 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -104,6 +104,18 @@ Each stage is defined as a task with its dependencies and execution command. The

For more detailed info about this example, please see the [notebook.ipynb](examples/dagrs-sklearn/examples/notebook.ipynb) jupyter notebook file.

## Changelog

### v0.5.2

#### 🚀 New Features

- **Async Execution Interface**: Added `run_async()` method to `Graph`, providing an async API that allows using dagrs within existing Tokio runtime environments. `start()` method now serves as a synchronous wrapper around the async API, maintaining backward compatibility while providing better async support

#### 💡 Usage Recommendations

- In environments with an existing Tokio runtime (e.g., async main functions, web services), use `run_async().await` instead of `start()`
- In simple standalone applications or testing scenarios, you can continue using the `start()` method

## Contribution

Expand Down
Loading