Alternatives
Products that do what Qri, a free and open source distributed dataset versioning tool does
I wanted to make you all aware of the latest release of Qri -pronounced ‘query’- (0.6.1), a free & open-source dataset version control system / network for finding, collaborating on & publishing open datasets on IPFS. We’re finally ready to recruit users (crash test smarties) to test drive qri & let us know what they love / don’t love / what’s broken. You likely have questions about qri. Hope this helps: Qri tackles four common data problems: - Discovery: Can I find data I’m looking for? - Trust: Can I trust what I’ve found? - Friction: Can I make this work with my other…
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- 2IB
Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com
- 3RV
Hi HN! We're building R2R [https://github.com/SciPhi-AI/R2R], an open source RAG answer engine that is built on top of Postgres+Neo4j. The best way to get started is with the docs - https://r2r-docs.sciphi.ai/introduction. This is a major update from our V1 which we have spent the last 3 months intensely building after getting a ton of great feedback from our first Show HN (https://news.ycombinator.com/item?id=39510874). We changed our focus to building a RAG engine instead of a framework, because this is what developers asked for the most.…
2024 · github.com
- 4Q2
Last week was big for open source LLMs. We got: - Qwen 2.5 VL (72b and 32b) - Gemma-3 (27b) - DeepSeek-v3-0324 And a couple weeks ago we got the new mistral-ocr model. We updated our OCR benchmark to include the new models. We evaluated 1,000 documents for JSON extraction accuracy. Major takeaways: - Qwen 2.5 VL (72b and 32b) are by far the most impressive. Both landed right around 75% accuracy (equivalent to GPT-4o’s performance). Qwen 72b was only 0.4% above 32b. Within the margin of error. - Both Qwen models passed mistral-ocr (72.2%), which is specifically trained for OCR. - Gemma-3…
2025 · github.com
- 5DO
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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- 7EO
Hey HN! We’re Jorge and Will from Lotas (https://www.lotas.ai/), and we’ve built Erdos, a secure AI-powered data science IDE that’s fully open source (https://www.lotas.ai/erdos). A few months ago, we shared Rao, an AI coding assistant for RStudio (https://news.ycombinator.com/item?id=44638510). We built Rao to bring the Cursor-like experience to RStudio users. Now we want to take the next step and deliver a tool for the entire data science community that handles Python, R, SQL, and Julia workflows. Erdos is a fork of VS Code designed for data…
Oct 2025 · lotas.ai
- 8SV
I've already posted yesterday, but I'd really love to get comments, any kind of questions, suggestions and help would be greatly appreciated as it's an Open Source project of mine (and was for others during my studies at the University of Konstanz 6 years ago). Since then I spent countless ours to bring forth the idea of a versioned storage system, especially well suited for analytical tasks for timd-varying data. Especially I'd love to discuss what documentation you need, which next steps are necessary (JSON, Cloud...), API additions or changes... I've updated the README quiet a bit, such…
2018
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- 11GA
Simon(sfarshid) and I spend a lot of time on GitHub. As data nerds we put together a quick tool to explore your repository’s data. How it works: - Data Loading: We use dlt to pull data (issues, PRs, commits, stars) from GitHub - Semantic Layer: Relta wraps the underlying dataset into a semantic layer so the LLM doesn’t hallucinate. - Text-to-SQL: A text-to-SQL agent transforms your plain-English question into a query using the semantic layer - Generative Charts: assistant-ui dynamically generates a chart based on the SQL query - Refinements: If the semantic layer can’t handle your question,…
2024 · github.com
- 12OS
Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…
Sep 2025 · metabase.com
- 13GT
Hi HN! I just released a blog on the fastest, easiest, and most collaborative AI data version control tools out there. If you’ve been iterating on AI datasets lately, you know how annoying and difficult it is to version and share your data. If you want a detailed comparison on the best data exploration and versioning options from Oxen.AI (where I am currently building a solution), Hugging Face, DVC, etc. check out the blog and lmk what you think:) Here’s the link: https://www.oxen.ai/blog/the-best-ai-data-version-control-to...
2024 · ghost.oxen.ai
- 14VC
Hi HN! We just launched a GitHub integration that scales your Git repos to handle 100 terabytes of files in a single repo. XetData enables data scientists and machine learning engineers to version code, models, and datasets together. Most teams have glued together clunky workflows using S3, DVC, Git, Git LFS, and other tools and make true reproducibility difficult: https://news.ycombinator.com/item?id=37694701 We instead embrace and extend Git so end-users don’t need to learn a new tool and a new set of commands. Our implementation is similar to Git LFS, where we take over the…
2023
- 15DS
Hey HN, I am Alex. I am open sourcing Data Studio, a lightweight data exploration IDE in your browser that runs locally. Try it: https://local.dataspren.com (no account needed, runs locally) More information: https://github.com/dataspren-analytics/data-studio I love working with data (Postgres, SQL, DuckDB, DBT, Iceberg, ...). I always wanted a data exploration tool that runs in my browser and just works. Without any infra or privacy concerns (DuckDB UI came quite close). Features: - Data Notebooks - SQL cells work like DBT models (they materialize to views) -…
Feb 2026 · github.com
- 16GF
2018 · dataturks.com
- 17IB
Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
Oct 2025 · github.com
- 18IE
Hey HN, when building ML systems for industrial AI, we have learned that data inspection is critical during the ML development process. We are also big fans of the Hugging Face ecosystem. That is why we built an integration to our data exploration tool Spotlight that allows you to interactively explore Hugging Face datasets with one line of code. Spotlight lets you leverage model results such as predictions and embeddings to gain a deeper understanding in data segments and model failure modes. Currently, many many NLP, CV, Audio and multimodal datasets are supported both locally and on the…
2023 · huggingface.co
- 19CA
Synthetic data generation is an essential step in training and evaluating LLMs/Agents/RAG pipelines, but tooling around this is still lacking. We're introducing Curator, an open-source library designed to streamline the data curation process. While there are many libraries to prompt LLMs, the semantics of generating synthetic data is different from prompting. For example, we need to process a large number of prompts (sometimes in millions or more) while accepting some failures, utilize several stages of prompting, incorporate human feedback, and filter out bad data using verifiers…
2025 · github.com
- 20DE
Dataset Explorer is now LIVE and FREE. -- Finding the right dataset shouldn't be this hard. Millions of high-quality datasets exist across Kaggle, data.gov, and other platforms, but discovering the ones you actually need feels like searching for a needle in a haystack. Whether it's seasonality trends, weather patterns, holiday data, tech layoffs, currency rates, political content, or geo information – the perfect dataset is out there, but buried under poor search functionality. That's why we built the dataset-explorer – a completely free tool that lets you search for datasets using natural…
2025 · hunch.dev
- 21IB
Hi everyone, I recently built a tool called Ziggy. Ziggy is a alternative to tools like Typeform except Ziggy uses AI to ask dynamic questions like you would ask when doing an interview with a user with some pretty powerful analytics. It's completely open source and was made to help save time and money doing 1-on-1 interviews with a lot of users in a short amount of time. We're also looking for any and all feedback so let me know what you think! Give it a try here by doing a feedback survey for Ziggy: https://www.useziggy.com/zy/MtAp-d7ebzylr
2024 · useziggy.com
- 22WR
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
- 23MO
Solo Dev. Couch Potato. Build a Standalone Open Source Deep research tool. And it Beats Google , Open ai and Perplexity in Multible Metrics : https://veritas-test.neocities.org/ ( pls translate it its german) Guys : lets get this to be used. Because KNOWLAGE Shouldnt be locked behind Paywalls
Feb 2026 · github.com
- 24IM
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
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