Alternatives
Products that do what Spotlight – The data quality platform for developers does
Hey HN, Data quality matters more than ever. Our world increasingly relies on AI and proprietary datasets to fine-tune models. But as many of us know, garbage in often results in garbage out. Bad data can cost millions, especially when it informs important decisions like public health policy or interest rate hedging. Today’s data engineers need a flexible, secure, and performant data quality toolkit designed for the modern workflow. But current solutions were built a decade ago and don't support big data technologies, such as Spark. This is why we're building Spotlight - the data quality…
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2017 · dataprism.co
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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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Hi HN, I’m Sean, the founder of Ascend.io (https://www.ascend.io). I’m really excited to post here and announce the launch of Ascend.io, a radical new way of designing, scaling, and automating data pipelines. Ascend is the result of nearly 4 years of development effort for a team that is now 30-strong, and I would love for you to give it a test drive and let me what you think. I’ve felt this pain since I wrote my first MapReduce in 2004 (using Sawzall @ Google), and in the 15 years since, things have not improved at the pace of other parts of the technology ecosystem. When I went…
2019
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Hey HN! We just released the open-source version of Renumics Spotlight, a data exploration and analysis tool for multimodal datasets. Spotlight integrates seamlessly with pandas and supports rich data types like images, videos, and meshes. You can load anything that fits in a DataFrame and view it through a customizable GUI featuring multiple interactive widgets: a data table, similarity map, histograms, scatter plots, and more. In the past, we have used Spotlight for exploratory data analysis and tackling various model and data-related problems in our machine learning projects. What are…
2023 · renumics.com
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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
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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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Hi everyone! My name's Christian, and I'd like to share what we've built at OrgStack - a complete data validation platform for engineering teams: https://orgstack.io It's estimated that data quality issues cost US businesses over $600 billion per year[1]. Poor data quality is difficult to detect, and even more difficult to resolve. This eats up engineering resources and leads to outages in production infrastructure. Our goal is to make it easy for data and software engineering teams to manage data sources, receive critical alerts, and trace data-related incidents to their source.…
2020
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We are exploring how teams can automatically audit data quality, detect problematic demonstrations, and build smaller, high-quality training sets before spending GPU time. We are looking for design partners to help shape the Calibra.
11d ago · calibrarobotics.com
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Hi! Recently I've launched - mybfio.io - platform for software reviews with social network aspect. Prehistory Many great system are already in place that allow people to search and rate software products, including the site I am publishing this post on. However I have always felt that those systems are not specifically centered around product/software development lifecycle (releases, real users feedback over a product entire lifetime, so on) and often too broad or not designed specifically for that type of work, which is ok. Why? As an opensource author I would like to have constant…
2021
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I wanted to share something I've been working on recently: Statum, a handy web analytics tool. https://github.com/extractumio/statum The journey began when I found myself frequently needing simple web analytics for my projects. I tried Google Analytics, especially GA4, and realized it was quite complex and, at times, not very accurate, especially when I wanted to view stats for the current day or recent hours. Then I tested a few fancy startup solution but ended up with way too expensive plans the expect me to subscribe (I'm not that rich to pay $99/month for every…
2023 · github.com
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As a software engineer, it's frustrating to see those who can't code stuck with spreadsheets as their most powerful data tool. This is especially true when there is such a thin layer that exists to access arbitrarily powerful data and AI/ML tools (typically just Python and pandas/SQL). I built Regrail last year to demonstrate a visual, procedural tool that abstracts the primitives of data engineering. It uses a block-based editor that allows users to see the changes they are making to tables step by step. You can think of it like a visual DAG builder. I believe that data literacy…
2023 · regrail.io
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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
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Hey HN, A few friends and I have spent the past 6 years or so developing a way to write data transformation code in a way that can easily adapt to changes in logic or data elements both upstream and downstream without the need major refactoring, regression testing, or re-orchestration. We decided to open source the project about two months ago and published a CLI tool after we realized how big of a task it was to take on incumbents like stored procedures, dbt, and psyspark. It is early days for our community and we are looking to grow and engage with others to poke holes and contribute…
2024 · github.com
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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
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2016 · datafire.io
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Hi there Hacker News, I've started a side project http://datasourcehub.com which aims to be a platform for data scientists. The project is still in the idea phase so the UI/UX and functionality are all subject to change. Feel free to play around, below is a guest login, and make sure files are content type of 'text/csv'. All data is subject to deletion, it's just a sandbox right now! By reaching out to the Hacker News community I hope to reach expert data scientists and get their feedback. Below are some questions I'd like to answer and some proposed directions that this…
2013
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Hello HackerNews, I am Paul, and I would like to get some feedback on the tool we are releasing as beta today. 3LC is an ML tool that gives detailed insights, real-time data-centric iterative workflows for training/finetuning, and data quality improvements for your Machine Learning datasets and models. 3LC serves as a visualizer, editor, and debugger, focusing on how models learn from the training data. Key Features of 3LC: • Detailed Data Analysis: 3LC enables users to dive into model performance beyond typical labeling errors. It offers the capability to analyze intricate false…
2024 · pypi.org
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I originally launched GitInsights on HN 11 months ago, and got some brutal (but good!) feedback. Since then, I have used feedback to transform the product from "for eng managers" to "for eng teams", added/removed/improved metrics, and in the process picked up some decent traction. Same name, completely different product. As always, any feedback is welcome.
2024 · github.com
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