https://github.com/nessos/Streams
A lightweight F#/C# library for efficient functional-style pipelines on streams of data.
https://github.com/nessos/Streams
Last synced: 6 months ago
JSON representation
A lightweight F#/C# library for efficient functional-style pipelines on streams of data.
- Host: GitHub
- URL: https://github.com/nessos/Streams
- Owner: nessos
- License: other
- Created: 2014-06-23T16:21:10.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2020-05-22T17:00:30.000Z (over 5 years ago)
- Last Synced: 2025-04-23T10:08:17.940Z (7 months ago)
- Language: F#
- Homepage: http://nessos.github.io/Streams/
- Size: 1.77 MB
- Stars: 385
- Watchers: 38
- Forks: 46
- Open Issues: 12
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
- awesome-dot-dev - Streams - A lightweight F#/C# library for efficient functional-style pipelines on streams of data. (Misc)
- awesome-dot-net-performance - Nessos Streams - A lightweight F#/C# library for efficient functional-style pipelines on streams of data. (High Performance Libraries / Application Insights)
- awsome-dotnet - Streams - A lightweight F#/C# library for efficient functional-style pipelines on streams of data. (Misc)
- awesome-functional-programming - **Streams** - A lightweight F#/C# library for efficient functional-style pipelines on streams of data
- awesome-csharp - Streams - A lightweight F#/C# library for efficient functional-style pipelines on streams of data. (Misc)
- awesome-dotnet-cn - Streams - 用于数据流上有效函数式管道的轻量级F#/C#库。 (杂项)
- awesome-functional-programming - **Streams** - A lightweight F#/C# library for efficient functional-style pipelines on streams of data
- awesome-dotnet - Streams - A lightweight F#/C# library for efficient functional-style pipelines on streams of data. (Misc)
- awesome-dotnet - Streams - A lightweight F#/C# library for efficient functional-style pipelines on streams of data. (Misc)
README
## Streams
A lightweight F#/C# library for efficient functional-style pipelines on streams of data.
All documentation and related material can be found [here](http://nessos.github.io/Streams/).
### Build Status
Head (branch `master`), Build & Unit tests
* Windows [](https://ci.appveyor.com/project/nessos/streams)
* Docker [](https://travis-ci.org/nessos/Streams/branches)