Revolutionize Stream Manipulation with Stream_transform

Operators for Every Need

stream_transform empowers developers with a comprehensive suite of operators to effortlessly manipulate streams. These extensions seamlessly integrate with the Dart ecosystem, providing a user-friendly and efficient approach to stream processing.

Key Operators at a Glance

AsyncMapBuffer, AsyncMapSample, ConcurrentAsyncMap:

• Non-blocking alternatives to asyncMap that prevent overlapping execution and event buffering.
• Optimize throughput while preserving order (asyncMapBuffer) or sacrificing order for higher throughput (concurrentAsyncMap).

AsyncWhere:

• Filters streams based on asynchronous predicates, providing granular control over event emission.

Audit:

• Suppresses events for a specified interval, ensuring a steady flow of important data.

Buffer:

• Collects events until a trigger stream emits, allowing the accumulation of events for batch processing.

CombineLatest, CombineLatestAll:

• Combines the latest events from multiple streams into a single stream, supporting either custom callbacks or list aggregation.

Debounce, DebounceBuffer:

• Regulates event emission frequency, preventing rapid or overlapping events from overwhelming downstream consumers.
• debounce drops events within a time window, while debounceBuffer collects events and emits them in batches.

FollowedBy:

• Appends events from a secondary stream to a primary stream's end, enabling seamless stream concatenation.

Merge, MergeAll, ConcurrentAsyncExpand:

• Interleaves events from multiple streams into a single stream, providing flexible and efficient stream merging.

Scan:

• Accumulates values from a stream over time, yielding intermediate results for real-time analysis.

StartWith, StartWithMany, StartWithStream:

• Prefixes a stream with one or more values or another stream, providing a convenient way to initialize streams.

SwitchMap, SwitchLatest:

• Flattens streams of streams into a single stream, emitting events from the most recent inner stream.

TakeUntil:

• Terminates a stream when a specified future completes, allowing for conditional stream interruption.

Tap:

• Monitors a stream's events without interrupting its flow, enabling side effects and logging without affecting downstream processing.

Throttle:

• Blocks events for a specified duration after emission, ensuring a consistent and controlled event rate.

WhereType:

• Filters a stream based on the type of its elements, ensuring type-safe stream manipulation.

Comparison to Rx Operators

While stream_transform operators share similarities with Rx Operators, they prioritize Dart ecosystem semantics and consistency. Specifically:

• Sample operators (Rx: sample() vs. stream_transform: sample() with longPoll: false)
• Debounce operators (Rx: debounce() vs. stream_transform: debounce())
• Buffer operators (Rx: buffer() vs. stream_transform: no equivalent)

How to Obtain a StreamTransformer Instance

To use operators with stream.transform, it's helpful to create a StreamTransformer instance. This can be achieved using the fromBind constructor:

final debounce = StreamTransformer.fromBind((s) => s.debounce(const Duration(milliseconds: 100)));

Conclusion

stream_transform is an invaluable tool for stream manipulation in Dart applications. Its comprehensive operators empower developers to efficiently process, filter, and combine streams, enhancing the flexibility and control of data pipelines.