Alternatives
Products that do what Matrices – Explore, visualize, and share large datasets does
Hey HN, I'm excited to share a new side project I've been working on. The product is called Matrices. You can check it out here: https://matrices.com/. With Matrices, you can explore, visualize, and share large (100k rows) datasets–all without code. Filter data down to just what you want, visualize it with built-in charts, and share your results with one click. You can use it today (no login or waitlist or anything). Just copy and paste your data from a google sheet or CSV file. It's hard to describe the feeling of "gliding over data" you get with Matrices, so I'd rather…
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Hi HN! Matrix-CRDT connects the worlds of Yjs [1] (a proven, high performance CRDT) with that of Matrix.org [2]. It started as an experiment, asking myself; can we store "state updates of a datastore" in Matrix instead of chat messages? Now, I'm convinced it's actually a really powerful combination to develop real-time, collaborative software. I'm using it for a new project and so far didn't have to write a backend yet. Matrix takes care of a lot of stuff: Authentication, E2EE, federation, hosting, etc. - so I can focus on the client. I love the ideas of Local First [3] software. Personally,…
2022 · github.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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- 14NN
Hi HN. Peter here. As a machine learning engineer, I mostly think in terms of feature vectors, embeddings, and matrices. One of the most useful byproducts of deep neural networks is embeddings because they allow us to represent high-dimensional data in terms of lower-dimensional latent vectors. These feature vectors can be used for downstream applications like similarly search, recommendation systems and near duplicate detection. As an ML engineer, I was frustrated by the lack of a datastore in which vectors are first-class citizens. As a result, most ML engineers, including myself, end up…
2021
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2016 · datasets.co
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Hey HN, We built a library to interactively explore unstructured datasets directly from a dataframe: https://github.com/Renumics/spotlight Some background: We have worked on different ML solutions over the years, mainly in the industrial AI space. A crucial step for us is always to inspect and explore the data interactively with the team and the customer. This is true throughout the dev process: During EDA, model debugging, model comparison and monitoring. We have tried many different options for visualizing unstructured datasets in the past: Notebooks, dash apps, custom…
2023 · github.com
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Making Excel pretty with copy-pasteable charts and designs
2022
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- 20MA
Still pretty rough ... Emphasizes: 1) Simple, no-frill dashboard for managing posts (files). 2) Lightweight markdown editor 3) Relationships: taxonomy (file tagging) and fast linking (content to other posts) Some of the important key bindings I have are ctrl+c for code, ctrl-L for linking text to other posts. Right now this is baked in but I'd want to allow users to customize it. It's still pretty beta but let me know what ya'll think! Here's the github page if you want to help out: https://github.com/keera/matrix
2014 · ec2-54-83-122-123.compute-1.amazonaws.com
- 21HS
Hi everyone! We (Christopher and Govind) have started a video tutorial series of 20-25 minute long episodes on how to make various common computer science data structures, such as vectors, linked lists, hashmaps, and so on. So far, we’ve done a two-part series on how to implement vectors. Links to parts one and two of the Vectors series: https://www.youtube.com/watch?v=vr0KzD_Owxc https://www.youtube.com/watch?v=t3kgbdhUIxU (Sorry about the low quality of the video in the first link, we accidentally recorded in 720p. The second part is in 1080p!) Although so far…
2019
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2020 · element.fossnode.net
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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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