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DagsHub

Company blog · dagshub.com/blogdataprogramming

DagsHub is the company blog at dagshub.com, writing about data and programming. Since 2019, 17 different Hacker News readers have linked it 42 times, most often “Stop treating data as static. Datasets should behave like Git repositories”. It is still writing: the last post was on 2026-01-21, and you can follow it by feed.

Visit the blog
42mentions?
17HN people?
2019–2024first – last linked?
Links on Hacker News per year · peak 14 in 2020

Too few sampled comments (14) to say how often HN recommends it.?

Why HN links it

HN comments link DagsHub, a platform for git-based data science collaboration with data and model versioning and DVC integration. Most mentions are product pitches or a job ad, not writing.

Summarised by Claude from a sample of 14 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform

Most-linked posts?

  1. Stop treating data as static. Datasets should behave like Git repositories
    3 people · 3 mentions · first linked 2021-01-19
  2. /
    3 people · 3 mentions · first linked 2020-04-28
  3. /
    2 people · 2 mentions · first linked 2022-09-14
  4. /careers
    2 people · 2 mentions · first linked 2020-05-04
  5. Recommended Data Science Content Sources
    2 people · 2 mentions · first linked 2020-10-19

What Hacker News says?

  1. DAGsHub | Senior Fullstack Developer | Tel-Aviv, IL | Full-time | ONSITE | https://DAGsHub.com/careers DAGsHub is looking for a strong Full Stack Developer to join our very early team. As one of the first members of the team, you will have a central role in shaping the company, its culture, and the future of data science tools. DAGsHub is creating a home for data science collaboration - the field is rapidly developi…

    Comment linking /careers

    on “Ask HN: Who is hiring? (May 2020)”
  2. Submitted Github Copilot Wants to Play Chess Instead of Code as a story · 280 points

    HN discussion
  3. DAGsHub | Senior Fullstack Developer | Tel-Aviv, IL | Full-time | ONSITE | https://DAGsHub.com/careers DAGsHub is looking for a strong Full Stack Developer to join our very early team. As one of the first members of the team, you will have a central role in shaping the company, its culture, and the future of data science tools. DAGsHub is creating a home for data science collaboration - the field is rapidly developi…

    Comment linking /careers

    on “Ask HN: Who is hiring? (May 2020)”
  4. Submitted Reverse Engineering Google Colab as a story · 156 points

    HN discussion
  5. I'd love to hear what you think about https://dagshub.com/ . We're building it with community collaboration in mind. It doesn't cover all the bases you mention, but we do: * data and model storage * experiment tracking * pipeline management * access control * data, model, code, pipeline versioning We're also strictly based on Git and other Open Source formats and tools so connecting with other tools you use like Col…

    Comment linking /

    on “Netflix's Metaflow: Reproducible machine learning pipelines”
  6. Submitted YOLOv6: Redefine state-of-the-art for object detection as a story · 138 points

    HN discussion
  7. This startup is trying to build the next GitHub for ML Data: https://dagshub.com/

    Comment linking /

    on “We Need DevOps for ML Data”
  8. Submitted Deep Learning Papers Are Kinda Bullsh-T as a story · 96 points

    HN discussion
  9. Great to see DVC being discussed here! As a tool, it’s done a lot to simplify version control for data and models, and it’s been a game-changer for many in the MLOps space. Specifically, it's a genius way to store large files in git repos directly on any object storage without custom application servers like git-lfs or rewriting git from scratch... At DagsHub [0], we've integrated directly with DVC for a looong time…

    Comment linking /

    on “Data Version Control”
  10. Submitted Guide to Effective Linux and Bash for Data Scientists as a story · 41 points

    HN discussion
  11. Congrats on the launch! Very exciting tool. I'm one of the creators of https://DAGsHub.com which lets you host and collaborate on data science projects – think data science pull requests and data merging. We're integrated with DVC for data versioning and experiments, but what you're building is definitely super interesting.

    Comment linking /

    on “Launch HN: Replicate (YC W20) – Version control for machine learning”
  12. Submitted Unraveling the Deep Learning Reproducibility Crisis as a story · 11 points

    HN discussion
  13. I think maybe this could better illustrate what can be done using DVC: https://dagshub.com/DAGsHub-Official/DAGsHub-Tutorial-MNIST You can navigate branches, and be able to download the data, model, and intermediate pipeline files from a shared team AWS,GS,Hadoop, or plain NFS or SSH server, as they were in a specific commit. Also compare metrics between branches for comparison of different experiments, etc. A team…

    Comment linking /DAGsHub-Official/DAGsHub-Tutorial-MNIST

    on “DVC – Open Source Machine Learning Version Control System”
  14. Submitted YOLOv6: state-of-the-art object detection at 1242 FPS as a story · 11 points

    HN discussion
  15. > There is unbelievably little information about the architecture too Fair enough, but the repo at git clone https://dagshub.com/nirbarazida/YOLOv6 seems to contain somewhat standard torch code. So it's not exactly like the architecture is a secret. The weights is a different story, of course.

    Comment linking /nirbarazida/YOLOv6

    on “YOLOv6: Redefine state-of-the-art for object detection”
  16. Submitted Show HN: Data Science Pull Requests– Review and merge code, data and experiments as a story · 8 points

    HN discussion
  17. https://github.com/meituan/YOLOv6/blob/main/docs/About_namin... > P.S. We are contacting the authors of YOLO series about the naming of YOLOv6. You should ask _before_ publishing, not _after_. They claim it runs faster and is more accurate than YOLOv5, yet requires 3x as much computation (GFLOPs)? Something doesn't add up here. There is unbelievably little information about the architecture too. Unfortunately it's n…

    Comment linking /pricing

    on “YOLOv6: Redefine state-of-the-art for object detection”
  18. Submitted Use MLflow and DVC in open-source projects as a story · 7 points

    HN discussion
  19. Take a look at DagsHub - https://dagshub.com They do exactly what you're looking for! They provide both a DVC remote to push and pull DVC-tracked objects, as well as a UI showing them integrated alongside git-tracked files in the repository view. (Disclaimer: I work at DagsHub)

    Comment linking /

    on “Scaling Git’s garbage collection”
  20. Submitted Comparing Data Version Control Tools – 2020 as a story · 6 points

    HN discussion
  21. Full Disclosure: I'm a ML Team Lead at DagsHub. TL;DR DagsHub lets you stream datasets from any repo you can access for free. We have open-source datasets for various tasks and domains (image, video, MRI, audio, etc.) that you can use, or upload yours and stream it. Learn more - https://dagshub.com/docs/feature_guide/direct_data_access/ How does it work? Every DagsHub repo comes with a configured remote storage, whe…

    Comment linking /docs/feature_guide/direct_data_access/

    on “Launch HN: Activeloop (YC S18) – Data lake for deep learning”
  22. Submitted Stop treating data as static. Datasets should behave like Git repositories as a story · 4 points

    HN discussion
  23. Hey HN, I'm one of the creators of DAGsHub ( https://DAGsHub.com ). Data Science Pull Requests (DS PRs) expand Pull Requests (PRs) to include data, models, and experiments. The idea behind DS PRs is to automate the data science review process and enable Open Source Data Science. Concretely this means: - Reviewing, comparing, and commenting on your experiments (metrics, parameters, visualizations), in context - Seein…

    Comment linking /docs/collaborating_on_dagshub/data_science_pull_requests/

    on “Show HN: Data Science Pull Requests– Review and merge code, data and experiments”
  24. Submitted Docker for Data Science – A Step by Step Guide as a story · 4 points

    HN discussion
  25. On the topic of dvc, does anyone have any experiences with dagshub ( https://dagshub.com/ ) that they are interested in sharing?

    Comment linking /

    on “Oxen.ai: Very Fast Unstructured Data Version Control”
  26. Submitted Show HN: DAGsHub, the data science collaboration platform – free due to COVID19 as a story · 4 points

    HN discussion
  27. Great news!I've been looking forward to this announcement ever since we discussed it a few months ago. BTW I loved this example: https://dagshub.com/DAGsHub-Official/annotations-showcase/di...

    Comment linking /DAGsHub-Official/annotations-showcase/diff/main?compare=video-annotations&file_diff=true&page=0&path=.labelstudio

    on a deleted thread
  28. Submitted Data Bugs and How to Fix Them as a story · 3 points

    HN discussion
  29. Submitted Recommended Data Science Content Sources as a story · 3 points

    HN discussion
  30. Submitted Explaining Large Language Models by Breaking Them as a story · 2 points

    HN discussion

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