AlexeyRaga/fsharp-foldl

FSharp.Foldl is an F\# library that enables computing multiple folds over a collection in a single pass. It provides combinators for summing, averaging, and zipping results, supporting composition via applicative syntax or computation expressions. The system leverages .NET generic math interfaces and includes a benchmark suite to measure performance.

This release introduces the FSharp.Foldl library, an F\# port of the foldl combinator library that allows computing multiple folds over a collection in a single pass. The project targets .NET 10.0 and includes a new Benchmarks project alongside the core library and tests. The public API uses \Fold.zip\ to combine folds (replacing the previously documented \Fold.tuple\), and supports composition via Applicative syntax or computation expressions.

(repo-wide) · high confidence

The internal implementation of the Fold module has been rewritten to replace the previous object-oriented interface (Accept/Extract) with a new Folder-based execution model using existential quantification. This change simplifies the core types and enables the use of .NET generic math interfaces (such as IAdditionOperators and IAdditiveIdentity) for operations like sum and product, replacing the older INumber constraint. Additionally, new combinators have been added to allow users to filter elements based on predicates (takeWhile, dropWhile) and limits (take, drop), providing more control over how sequences are processed.

FSharp.Foldl · high confidence

Added benchmark suite for F\# Foldl library; Added tests for new Fold operations and syntax.

The test suite dependencies have been updated, including FsUnit.xUnit (5.1.0 to 5.4.0), Hedgehog.Xunit (0.5.1 to 0.6.0), Microsoft.NET.Test.Sdk (17.3.2 to 17.6.3), xunit (2.4.2 to 2.5.0), and coverlet.collector (3.1.2 to 6.0.0). A new benchmark project (FSharp.Foldl.Benchmarks) has been added using BenchmarkDotNet 0.13.6 to measure performance, and the main library project has been updated with version 1.1.1 and metadata.

(dependencies) · high confidence

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

• CAI 64 → 63 (-1.0)
• Rubric changed (rubric-2026.09.15 → rubric-2026.10.1) — scores are not directly comparable.

• Code Health 94 → 94 (+0.0)
• Architecture 99 → 95 (-3.8)
• Maturity 54 → 54 (+0.0)
• Readiness 60 → 60 (+0.0)
• Security 76 → 70 (-6.0)
• Performance 85 (new)

• Documentation: no installation or build instructions (README.md)
• Documentation: no usage examples (README.md)

• Documentation: no contributor guidance (Readme.md)
• Documentation: no installation or build instructions (Readme.md)
• Documentation: no usage examples (Readme.md)

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

AlexeyRaga/fsharp-foldl was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point a surveyor at a repository you know and see whether you agree with it.