Alternatives
Products that do what Free, zero configuration hosting for data and models using Git and DVC does
Hey HN! I'm Guy, one of the creators of DAGsHub. We help data scientists track experiments and version their code, data & models using Git. We're committed to building on open source protocols and improving the user experience on top of them - in this case, DVC. We've built capabilities on top of it like visually interacting with your pipeline, creating data pull requests, browsing data files etc. One thing we kept running into is users being challenged by setting up the cloud environment necessary, to push their data to AWS S3, GCS (which we support), and other DVC remotes. Since our focus…
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Hey HN, creator of DVC here! DVC (https://dvc.org/) is known as Git for data projects. Technically, DVC codifies your data and machine learning pipelines as text metafiles (with pointers to actual data in S3/GCP/Azure/SSH) while you use Git for the actual versioning. DevOps folks call this approach GitOps or more specifically in this case - DataOps or MLOps. We’ve been working towards 1.0 since we started 3 years ago. What began as my pet project now has 100+ code contributors, 100+ documentation contributors, and thousands of users. Our community has taught us…
2020
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- 3SS
2020 · git.mysticmode.org
- 4GT
2017 · gitorials.com
- 5B2
This is a long-running project that started as the proverbial need to scratch my own itch and then somehow evolved into a full-time job of the past 6 years. Link: https://bvckup2.com I thought I'd do a Show HN for two reasons. 1. I obviously want to show my baby to those who haven't seen it. Its primary purpose is to do very fast file replication. If you are familiar with "robocopy /mir" - same idea, but on steroids. Lots of them. It can be used for both mirroring and archiving backups, among other things. It is light, very small and it is really quite fast. Half of the…
2019 · bvckup2.com
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2016 · github.com
- 8CP
2013 · commitq.com
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2022 · github.com
- 11SP
2021 · shithub.us
- 12IB
Hey HN! Over the past few weeks, I’ve been working on DataBridge, an open-source solution for data ingestion and querying across text, PDFs, images, and videos. In our latest update, we’ve added a fully local deployment option: - No internet required – Runs entirely offline. - Customizable Models – Supports any LLM and embedding model via Ollama (with options for any other private providers) - Extensibility – You can plug in your own models or tools easily. This local-first approach ensures better privacy, security, and flexibility, especially for teams dealing with sensitive data. You can…
2025 · github.com
- 13IM
I spent the past few weeks making an open source cloud code editing environment with an AI copilot and multiplayer collaboration! It's fully self-hostable in 5-10 minutes. There's a lot of minor improvements to be made, and some are already listed in the Github issues. Let me know what you think and feel free to try it out.
2024 · github.com
- 14DO
Hi HN! I am an undergrad student trying to build interesting things with AI. Recently, I was looking for a dataset I could use for a new project. I realized that it is really frustrating to go through all the government websites (with terrible UX) just to find some usable dataset. I set out to build a GitHub for datasets, named DataHub. Right now, we have more than 1000 datasets from Montréal and New York City, with more cities coming soon (and possible government agencies). All of this is wrapped into a powerful search. It's a breeze to find a dataset to work on. I'd be interested to know…
2017
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2022 · github.com
- 16WW
Over three months ago, I posted my book on HN and got tremendous +ve reponse. I am happy to inform that I have published the book to leanpub as per the comments I got on HN itself! It is pay as you go model, and the minimum is $0 because I wanted to contribute back to the FOSS Community
2016
- 17IV
Hey HN, As most of you (I think?), I cannot learn something without having a project, on the side, to implement what I’ve just learned. Recode is the project that I've used to learn Go. It lets you create a development environment in your cloud provider account easily. You can think of it as a desktop version of Gitpod / Coder / GitHub Codespaces less polished and with less features but 100% free and open-source. At the time of writing, it only works with Visual Studio Code and AWS. In order to let you configure your development environments easily, I’ve chosen to use Docker with…
2022 · github.com
- 18WA
Today you can easily adopt AI coding tools because you have git for branching and rolling back if AI writes bad code. We haven't seen this same capability for data and decided to build it ourselves. Nile is a new kind of data lake, purpose built for using with AI. It can act as your data engineer or data analyst creating new tables and rolling back bad changes in seconds. We support real versions for data, schema, and ETL. We'd love your feedback on any part of what we are building - https://getnile.ai/ What do you think?
Jan 2026
- 19GR
Freenet's philosophy is "decentralize everything" and one of the things I've long wanted to apply that to is Git. The original Git concept was decentralized but for practical reasons most people use centralized hosting services like GitHub. For anyone unfamiliar, Freenet[1] is a general purpose platform for building decentralized systems. So I implemented a working prototype which already hosts the freenet-core repo, integrating as a git remote helper. It's still early so I'd greatly appreciate any feedback and will iterate quickly if there is interest. [1] https://freenet.org/
May 2026 · github.com
- 20WR
Hey everyone, this is Jason and Nathan from https://subsets.io, a new open data warehouse. Our goal is to make finding and accessing public data easier for human analysis, in apps, or as a source of up-to-date data for retrieval-augmented-generation. Inspired by git scraping [1], the core idea is to build something where people don’t upload a snapshot of their dataset directly, like you might do on Kaggle or Huggingface. Instead, anyone can contribute code (connectors) which we then continuously run and make the fetched data available for everyone in our shared, public data…
2024 · subsets.io
- 21RS
Hi HN! I've been hacking on this side project for the last month or two with the goal of making it dead simple to use cloud GPUs. I ran into this problem personally during the phd, and built my own tooling around it. I always thought it'd be fun to try to turn that tooling into a more general product... and bitbop.io is the result! All you have to do is run `ssh bitbop.io`, and you get your own personal dev GPU workstation in the cloud. Looking forward to hearing your thoughts!
2024 · twitter.com
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Hello HN! These last few months I've been working on my first open source project: an embedded database written in pure-go. That took me some months, as I had to learn how to deal with such large packages. Until then, all packages I had made were quite small an did not require much. I usually did not have to worry about things like allocation optimization and instance pools until This project. It started when I wanted to make a port of a tool to a TUI environment. I'm actually used to working with TUIs in golang, so that was my language of choice. The tool I wanted to port is written in…
Feb 2026
- 23AB
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We launched a new free tool to help engineers understand their AWS spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up end up becoming cloud accountants or end up forking over a big % of their AWS bill for a tool to understand costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how this new tool works: It's fully self-serve and…
2022
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I have created a Cron alternative that runs DAGs (Directed acyclic graph) defined in a simple YAML format. Why not Airflow? Airflow and other similar tools are powerful and valuable, but in most cases, they require writing code to manage workflows. Our ETL pipeline is already hundreds of thousands of lines of complex code in Perl and shell scripts. Adding another layer of Python on top of this would make it difficult to maintain. Instead, we needed a more lightweight solution. So we developed Dagu, which requires no coding, and is easy-to-use and self-contained, making it ideal for smaller…
2022 · github.com
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