High-Performance Haskell?

• linear-builder

  5 88 6.8 Haskell

  Strict Text and ByteString builder, which hides mutable buffer behind linear types and takes amortized linear time.

Another interesting area of performance optimisation is linear types. It's already possible to take advantage of them in libraries https://github.com/Bodigrim/linear-builder with real world performance gains and in the future in GHC. More about this here https://www.reddit.com/r/haskell/comments/5z6mxb/linear_types_make_performance_more_predictable/?utm_source=share&utm_medium=ios_app&utm_name=iossmf

• countwords

  2 4 10.0 Rust

  Playing with counting word frequencies (and performance) in various languages. (by unhammer)

Wow, thanks for the code review! Noted – I'll try them out when I have some time

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• ghc-proposals

  160 675 9.2 Python

  Proposed compiler and language changes for GHC and GHC/Haskell

  

The lack of concatMap fusion is a notorious issue in stream fusion. I recently implemented Higher Order Patterns in Rewrite Rules which should make it possible to write a rewrite rule for fusing concatMap in GHC 9.8.

• fusion-plugin

  2 16 2.7 Haskell

  GHC plugin to make stream fusion more predictable

  

If you want to get stream-fusion in base then I think you should first try to get https://github.com/composewell/fusion-plugin in GHC. It takes care of most of the optimization corner cases that you will invariably run into if you want to use stream-fusion reliably.

Suggest a related project