Sep VS pyogrio

Compare Sep vs pyogrio and see what are their differences.

Sep

World's Fastest .NET CSV Parser. Modern, minimal, fast, zero allocation, reading and writing of separated values (`csv`, `tsv` etc.). Cross-platform, trimmable and AOT/NativeAOT compatible. (by nietras)
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Sep pyogrio
2 1
639 240
- 5.8%
8.8 8.6
12 days ago 5 days ago
C# Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Sep

Posts with mentions or reviews of Sep. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.
  • Eli Bendersky: Faster XML Stream Processing in Go
    1 project | news.ycombinator.com | 7 May 2024
    Pretty sure the C performance would have been trivially matched by C# were it to be ported there.

    While not XML (which does not see much love from the community to surprise of HN), gigabytes per second of parsing throughput are reached for CSV without sacrificing UX: https://github.com/nietras/Sep?tab=readme-ov-file#packageass...

  • Friends don't let friends export to CSV
    7 projects | news.ycombinator.com | 25 Mar 2024
    If you ever need to parse CSV really fast and happen to know C#, there is an incredible vectorized parser for that: https://github.com/nietras/Sep/

pyogrio

Posts with mentions or reviews of pyogrio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.
  • Friends don't let friends export to CSV
    7 projects | news.ycombinator.com | 25 Mar 2024
    Your issue is that you're using the default (old) binding to GDAL, based on Fiona [0].

    You need to use pyogrio [1], its vectorized counterpart, instead. Make sure you use `engine="pyogrio"` when calling `to_file` [2]. Fiona does a loop in Python, while pyogrio is exclusively compiled. So pyogrio is usually about 10-15x faster than fiona. Soon, in pyogrio version 0.8, it will be another ~2-4x faster than pyogrio is now [3].

    [0]: https://github.com/Toblerity/Fiona

    [1]: https://github.com/geopandas/pyogrio

    [2]: https://geopandas.org/en/stable/docs/reference/api/geopandas...

    [3]: https://github.com/geopandas/pyogrio/pull/346