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Dev tools · alternatives · 2026

24 alternatives to GitHub

Ai zip compression

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    2020 · colab.research.google.com · its alternatives →

  2. 2

    We combine Generative Adversarial Networks with learned compression to obtain a state-of-the-art generative lossy compression system.

    2020 · hific.github.io · its alternatives →

  3. 3

    Thinc is a lightweight type-checked deep learning library for composing models, with support for layers defined in frameworks like PyTorch and TensorFlow.

    2020 · thinc.ai · its alternatives →

  4. 4
    Jolt AI▲471

    AI assistant for 100k to multi-million line codebases

    2025 · its alternatives →

  5. 5

    The speedy, economical AI for coding

    2025 · x.ai · its alternatives →

  6. 6

    I've spent the last few months working on this codec. It has the following characteristics: - SOTA decompression throughput in its ratio class - Decent ratios (comparable to LZ4 at high effort levels) - Slow compression Most of the gains can be attributed to reducing branches and making decompression very friendly to out-of-order cores, by using a smart format. Results on the tarred Silesia corpus on Intel x86-64 follow: codec decode ratio encode misa77 -0 5219 MB/s 42.64% 54.5 MB/s misa77 -1 4274 MB/s 39.65% 51.2 MB/s lz4 2505 MB/s 47.59% 371 MB/s lz4hc -12…

    Jul 2026 · github.com · its alternatives →

  7. 7

    RISC-V's compressed instruction (RVC) extension is intended as an add-on to the regular, 32-bit instruction set, not a replacement or competitor. Its designers intended RVC instructions to be expanded into regular 32-bit RV32I equivalents via a pre-decoder. What happens if we explicitly architect a RISC-V CPU to execute RVC instructions, and "mop up" any RV32I instructions that aren't convenient via a microcode layer? What architectural optimizations are unlocked as a result? "Minimax" is an experimental RISC-V implementation intended to establish if an RVC-optimized CPU is, in practice, any…

    2022 · github.com · its alternatives →

  8. 8AI
  9. 9OA

    I built an experiment that uses an overfitted transformer and arithmetic coding to compress individual files. Instead of training the model to generalize, I train a 900KB transformer to memorize a single file and predict the next byte. Those predictions are fed into an arithmetic coder to produce the compressed output. On a 100MB NYC taxi CSV, it compresses to about 7MB (~0.5 bits/byte). On a 100MB slice of enwik9, it compresses to about 21MB (~1.68 bits/byte). It's pretty slow right now (roughly 20–30 minutes of training and 45 minutes each for compression and decompression on my…

    Jun 2026 · its alternatives →

  10. 10
    Zipic▲26

    Streamline image compression with ease & efficiency

    2023 · zipic.app · its alternatives →

  11. 11AG
  12. 12

    Roll out coding standards safely across repos and agents

    Nov 2025 · packmind.com · its alternatives →

  13. 13

    Professional HD multimedia file compressor

    2022 · videoconverter.wondershare.com · its alternatives →

  14. 14
    DIYPC ▲13

    Reimagining PC building—powered by AI, driven by simplicity

    2025 · diypc.vercel.app · its alternatives →

  15. 15
  16. 16

    AI-powered file compression & enhancement, fully private

    Jun 2026 · ziphay-smart-compression.vercel.app · its alternatives →

  17. 17

    Professional video compressor without losing quality

    2023 · imyfone.com · its alternatives →

  18. 18

    Most Efficient Agentic Coding Environment

    Aug 2026 · onesuperbrain.com · its alternatives →

  19. 19

    A native macOS app for the 7-Zip archiving utility. - AkshayKalose/789-Zip

    2024 · github.com · its alternatives →

  20. 20

    I have posted a much earlier version of this over a year ago [0]. Since then a lot has changed. Obviously, the name has changed. This happened for the paper publication [1]. I have also optimized the speed, integrated ISA-L for special cases, limited the compression-ratio-dependent maximum memory consumption, and finally added parallelized CRC32 computation, which adds ~5% overhead no matter the number of cores used. At this point, I am leaning towards calling it production-ready although there are still many ideas for improvements. Redoing the benchmarks of the older Show HN, would look…

    2023 · github.com · its alternatives →

  21. 21

    Embeddable minimal in-memory GZIP decompression library for embedded systems - wkoszek/mini_gzip

    2015 · github.com · its alternatives →

  22. 22JA
  23. 23

    This is a low-level opensource library I developed for my own use and decided to share, as it makes it possible to process large checkpoints of neural networks without renting high-RAM instances, on a regular PC. It replaces torch.load() with a custom function that produces a dictionary that materializes tensors on the fly. Compared to other solutions it doesn't require sharding or re-encoding checkpoints and uses them completely as-is. It is a foundation to make it possible to run inference and compress language models and other large models one layer at a time - in principle, even one…

    2023 · github.com · its alternatives →

  24. 24

    Free real-time, low latency lossless LLM prompt compression

    2025 · promptfold.web.app · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →