isa-l VS ratarmount

Compare isa-l vs ratarmount and see what are their differences.

isa-l

Intelligent Storage Acceleration Library (by intel)

ratarmount

Access large archives as a filesystem efficiently, e.g., TAR, RAR, ZIP, GZ, BZ2, XZ, ZSTD archives (by mxmlnkn)
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isa-l ratarmount
5 10
904 628
2.8% -
8.6 8.6
29 days ago 6 days ago
C Python
GNU General Public License v3.0 or later 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.

isa-l

Posts with mentions or reviews of isa-l. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-16.

ratarmount

Posts with mentions or reviews of ratarmount. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-04.
  • Ratarmount: Access large archives as a filesystem efficiently
    1 project | news.ycombinator.com | 10 Apr 2024
  • Show HN: Rapidgzip – Parallel Gzip Decompressing with 10 GB/S
    3 projects | news.ycombinator.com | 4 Sep 2023
  • Ratarmount: Random Access Tar Mount
    1 project | news.ycombinator.com | 14 May 2023
  • Ask HN: Most interesting tech you built for just yourself?
    149 projects | news.ycombinator.com | 27 Apr 2023
    This is basically the same reason why I started with ratarmount (https://github.com/mxmlnkn/ratarmount) but the focus was more on runtime performance and random access and as the name suggests it started out with access to recursive tar archives. The current version should also work for your use case with recursive zips.
  • Looking for advice uploading data while at uni. I need to split the data i need to upload to carry it with me
    2 projects | /r/DataHoarder | 11 Oct 2022
    As an added complication this would need to work under windows (i need onenote and that's win only :/ ) ; this alone makes the majority of solutions that i came up with impossible. One way could've been splitting the data onto various tar files and then mounting those with rartarmount but...linux only :( .
  • How Much Faster Is Making a Tar Archive Without Gzip?
    8 projects | news.ycombinator.com | 10 Oct 2022
    Pragzip actually decompress in parallel and also access at random. I did a Show HN here: https://news.ycombinator.com/item?id=32366959

    indexed_gzip https://github.com/pauldmccarthy/indexed_gzip can also do random access but is not parallel.

    Both have to do a linear scan first though. The implementations however can do the linear scan on-demand, i.e., they scan only as far as needed.

    bzip2 works very well with this approach. xz only works with this approach when compressed with multiple blocks. Similar is true for zstd.

    For zstd, there also exists a seekable variant, which stores the block index at the end as metadata to avoid the linear scan. indexed_zstd offers random access to those files https://github.com/martinellimarco/indexed_zstd

    I wrote pragzip and also combined all of the other random access compression backends in ratarmount to offer random access to TAR files that is magnitudes faster than archivemount: https://github.com/mxmlnkn/ratarmount

  • Ratarmount – Fast transparent access to archives through FUSE
    2 projects | news.ycombinator.com | 10 Mar 2022
    Or via the experimental AppImage I created this week:

        wget -O ratarmount 'https://github.com/mxmlnkn/ratarmount/releases/download/v0.10.0/ratarmount-manylinux2014_x86_64.AppImage'
  • Hop: 25x faster than unzip and 10x faster than tar at reading individual files
    10 projects | news.ycombinator.com | 10 Nov 2021
    I've recently been looking into this same issue because I analyse a lot of data like sosreports or other tar/compressed data from customer systems. Currently I untar these onto my zfs filesystem which works out OK because it has zstd compression enabled but I end up decompressing and recompressing which is quite expensive as often the files are GBs or more compressed.

    But I've started using a tool called "ratarmount" (https://github.com/mxmlnkn/ratarmount) which creates an index once (and something I could automate our upload system to generate in advance, but you can also just process it lcoally) and then lets you fuse mount the file. This works pretty great with the only exception that I can't create scratch files inside the directory layout which in the past I'd wanted to do.

    I was surprised how hard a problem to solve it is to get a bundle file format that is indexable and compressed with a good and fast compression algorithm which mostly boils down to zstd at this point.

    While it works quite well, especially with gzip and bzip2, sadly the zstd and xz (and some other compression formats) don't allow for decompressing only parts of a file by default, even though it's possible the default tools aren't doing it. The nitty gritty details are summarised here:

  • Is there a way to accelerate extracting .tar contents?
    1 project | /r/linuxquestions | 29 Jun 2021
    Well, you could try to skip extraction and access the tar archive using ratarmount, and stack overlayfs on top to allow writing, but that will have an impact on compilation time.

What are some alternatives?

When comparing isa-l and ratarmount you can also consider the following projects:

solaris-userland - Open Source software in Solaris using gmake based build system to drive building various software components.

tarindexer - python module for indexing tar files for fast access

pigz - A parallel implementation of gzip for modern multi-processor, multi-core machines.

asar - Simple extensive tar-like archive format with indexing

DirectStorage - DirectStorage for Windows is an API that allows game developers to unlock the full potential of high speed NVMe drives for loading game assets.

PyFilesystem2 - Python's Filesystem abstraction layer

QATzip - Compression Library accelerated by Intel® QuickAssist Technology

InstaPy - 📷 Instagram Bot - Tool for automated Instagram interactions

lib842

pixz - Parallel, indexed xz compressor

rapidgzip - Gzip Decompression and Random Access for Modern Multi-Core Machines

icoextract - Extract icons from Windows PE files (.exe/.dll)