Alternatives
Products that do what GYANA does
No-code data science in clicks
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2020 · chartio.com
- 4DE
Hi HN! I'm currently a Master's student at USTC (University of Science and Technology of China). I've been diving deep into Data Engineering, especially in the context of Large Language Models (LLMs). The Problem: I found that learning resources for modern data engineering are often fragmented and scattered across hundreds of medium articles or disjointed tutorials. It's hard to piece everything together into a coherent system. The Solution: I decided to open-source my learning notes and build them into a structured book. My goal is to help developers fast-track their learning curve. Key…
Feb 2026 · github.com
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Hi HN, We're a small team working on a new dataviz engine and its applications. We built our charting engine in C++ and run it on WebAssembly. Two years ago, we launched Vizzu as an open-source animated data visualization library aimed at JS developers, allowing users to create dynamic charts. We also released a Python wrapper under the name ipyvizzu for data scientists. Since then, we've been working hard to make this technology accessible to everyone, regardless of their coding skills. Today, we're proud to introduce our no-code storytelling tool. With this tool, anyone can turn their…
2024 · vizzu.io
- 6DP
2017 · dataprism.co
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Hi HN. I've been working on a new browser-based design tool that's ready for you to try. The idea is you work on your design in low fidelity wireframes, while still getting a high fidelity output that you can share or use as a reference for your implementation. The way it works is by mapping low fidelity blocks you draw into high fidelity design system & React components. I spent several years working on design tools at companies like Airbnb, and I think the ideas behind many of the tools we built for designing at scale could really help startups and small teams as well. I would love any…
2023 · noya.io
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I built Nogic, a VSCode extension currently, because AI tools make code grow faster than developers can build a mental model by jumping between files. Exploring structure visually has been helping me onboard to unfamiliar codebases faster. It’s early and rough, but usable. Would love feedback on whether this is useful and what relationships are most valuable to visualize.
Jan 2026 · marketplace.visualstudio.com
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I am excited to announce the release of TabPFN v2, a tabular foundation model that delivers state-of-the-art predictions on small datasets in just 2.8 seconds for classification and 4.8 seconds for regression compared to strong baselines tuned for 4 hours. Published in Nature, this model outperforms traditional methods on datasets with up to 10,000 samples and 500 features. The model is available under an open license: a derivative of the Apache 2 license with a single modification, adding an enhanced attribution requirement inspired by the Llama 3 license:…
2025 · nature.com
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Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
2018 · parabola.io
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2020 · gyana.co.uk
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Data Painter is RATH's new feature to interact with your data. It helps you to specify complex visual patterns and find explanations and potential causals. It allows you to do on-flight data labeling, cleaning or even create new features does not exited in original dataset. Everything can be done with a brush tool(painter), You can even play with your data with your fingers on mobile. RATH is an open-source alternative to Tableau, but with more automations. Feedbacks and suggestions are appreciated. RATH's Github: https://github.com/Kanaries/Rath RATH's HomePage:…
2023 · docs.kanaries.net
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Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
2023 · perplexity.vercel.app
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