fslaborg/Deedle
Deedle is a data analysis library for .NET that provides high-performance data frames and series with support for lazy evaluation and virtual data structures. It offers extensive integration with external data formats including Excel, Apache Arrow, Apache Parquet, and CSV, as well as interoperability with ML.NET and MathNet.Numerics. The system is built on a modern .NET 10 foundation with a comprehensive test suite covering core and extension modules.
54.9
Adequate · 20 July 2026
25k
lines of production code
F#
primary language
3
bus factor · 43 authors in all
2
measurements over time
How it got here
2013 · Deedle core refactoring and test expansion
The project underwent a significant architectural overhaul, introducing lazy evaluation, virtual data structures, and new vector abstractions to improve performance and memory efficiency. This period also saw the migration to .NET 10 and the adoption of Paket for dependency management, accompanied by a substantial expansion of the test suite across multiple languages and modules.
12 changes
2014–2026 · extensive I/O and integration expansion
This period focused on significantly expanding Deedle's ecosystem by adding native support for major data formats and external libraries. The team introduced modules for Apache Arrow, Apache Parquet, ML.NET, and Excel, alongside comprehensive test coverage and performance benchmarking for each new feature.
17 changes
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About this page
- The description of this project is derived from its own commit history, not from its README.
- The score is its highest published measurement, taken on 20 July 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
- Measured at commit f3e3ed32aa — the exact code this score is about.
- Scored under rubric rubric-2026.08.17. Score the same commit under that rubric and you get the same number.