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Alternatives

Products that do what Dataherald, no-code tool to help people see and understand data does

Hi everyone, Anuj here, Dataherald CEO. There are a bunch of EXTERNAL data sources in the world that people use a lot -- think census data, Bureau of Labor Statistics (unemployment, inflation), but even proprietary data sources. I was tired of getting these into useable data pipelines every time I need need to use them. Dataherald simply creates data pipelines to hundreds of data sources and then lets you create auto-updating data viz -- all in under 60 seconds. The goal is to enable non-tech users to more easily use data, which has been a huge problem for me throughout my career. We…

  1. 1

    Empowering you to leverage the world’s data

    2021

  2. 2

    The easiest data visualization tool you've every seen

    2022

  3. 3NC

    Dataherald is a no-code data platform that allows you to create and deploy powerful data content (charts, maps, graphs) in less than 60 seconds. We’ve automated ETL for hundreds of public and proprietary data sources, surfacing ready-to-use live-updating visualizations in as little as 3 clicks. Bureau of Labor Statistics (BLS) inflation and employment data, FRED economic and automotive data, and hundreds of other fascinating data feeds are already piped in and at your fingertips – the only thing left is for you to create your own custom visualizations and generate insights from them.…

    2022 · app.dataherald.com

  4. 4PI

    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

  5. 5

    Embed NL-to-SQL into your product

    2024

  6. 6DA

    Dear HN, I am Riwaj, the cofounder of dstack.ai (https://github.com/dstackai). A few months ago, we built an online service that allows users to publish data visualizations from Python or R. The idea was to build a tool that did not require additional programming or front-end development for publishing data visualizations. Such a code can be invoked from either Jupyter notebook, RMarkdown, Python, or R scripts. Once the data is pushed, it can be accessed via a browser. Open-sourcing dstack: During our customer discovery phase, we realized that dstack.ai should integrate a lot…

    2020

  7. 7

    The fastest easiest way to understand your data

    2014

  8. 8OS

    Hey HN, This is Adrian and David, and we're excited (and nervous) to show you basetool (https://basetool.io). Basetool helps companies view and manage all their data in one place. Companies have data in tons of places like BI tools, data warehouses, 3rd party services, and their databases. However, because the tools are not connected, it's a hassle to have visibility across the whole organization and even more difficult to safely share that data with the team or external collaborators. The vision is to give basetool access to your data source and get a tool that way above a…

    2021

  9. 9OD

    Hello Hacker News! We are Rick & Yannick from Orchest (https://www.orchest.io - https://github.com/orchest/orchest). We're building a visual pipeline tool for data scientists. The tool can be considered to be high-code because you write your own Python/R notebooks and scripts, but we manage the underlying infrastructure to make it 'just work™'. You can think of it as a simplified version of Kubeflow. We created Orchest to free data scientists from the tedious engineering related tasks of their job. Similar to how companies like Netflix, Uber and Booking.com…

    2020

  10. 10IM

    Hi there! I've been working with data in one form or another, professionally, for about 5 years. I've been thinking about my own personal data and how it's used for at least twice that long. I've been sort of building something in my head for a while that solves my own problem and, in the beginning of this year, I found the opportunity to spend some time building it out. I'll leave the detailed explanation to the blog post but, in short, I built what amounts to an API crawler combined with a data processor to help you download your personal data from 3rd party services and work with it using…

    2024 · joshcanhelp.com

  11. 11DO

    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

  12. 12AO

    It’s just the back end so it logs to MongoDB database so you can add any UI you want to it, feel free to contribute! (Suggestion’?)

    2022 · github.com

  13. 13PF

    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

  14. 14AB

    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

  15. 15AI

    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

  16. 16IT

    Back in October, I built a web analytics tool. It had two distinguishing features: it was cheap, and it had a weekly AI email summary so you wouldn't have to check your dashboards. Turned out that cheap made no difference, but the few users I had really liked the email digest. The world moves fast these days, and suddenly I found myself experimenting with agents, and doing all my work in Claude Code, so I decided to throw out everything and rebuild the tool as lodd.dev, a headless web analytics tool for agents. 42 MCP tools and a full API that lets agents call and act on analytics data as…

    May 2026

  17. 17T1

    Two and a half years ago, Edward, Dylan, and I started this journey to build a new database for an old problem that has long plagued the infrastructure software industry. Today, we are proud to announce that this database, TiDB, is production ready. Abraham Lincoln once said, ‘the best way to predict the future is to create it.’ The future we predicted 771 days ago we now have created, because of the hard work and dedication of not just every member of our team, but also every contributor, user, and partner in our open source community. Today, we celebrate and pay gratitude to the power of…

    2017

  18. 18AI

    Hi HN, We are launching Denormalized (www.denormalized.io), a serverless real-time data platform built on Kafka and Pinot. We felt a bit burnt out by the sheer developer toil we faced when building application around the real-time data stack and set out to create a platform to allow small teams to be very productive with realtime data without having to glue together an elaborate system to serve real-time as well as time series queries. Here is our motivating post. Would appreciate any and all feedback.

    2023 · teamdenormalized.substack.com

  19. 19IB

    Hi HN! My name is Yossi, and I'm a solo indie maker. SEO tools are super pricey and free tools often fall short, leaving most users to costly subscription-based tools. So, I built SEO Stuff, a keyword tool that uses a credit-based system for builders like me who use SEO more sporadically. Have a great day!

    2024 · seo-stuff.com

  20. 20IB

    I posted this a few weeks ago and the server died under the traffic. Fixed that by adding an in-mem caching layer with Redis/valkey and added CloudFront caching for static content. Also upgraded the server. Also fixed the Firefox bugs, trying again. It's a research tool for US stocks. Financials for ~10k companies pulled from SEC filings. You can chart any metric across companies, filter news by ticker, ask questions in plain English and get a chart back. There's also SQL console against the whole database, which is the part I like to use together with the AI chat (generates an SQL…

    Jun 2026 · terminal.tesseractanalytics.ai

  21. 21TS

    I've built a little prototype a long while back, to help me keep track of visitors on my website. I didn't like google analytics for obvious privacy reasons, and I didn't like the existing self-hosted options because of how complicated they are. I always wanted a simple, basic tool, similar to plausible, but even simpler. So a few weeks ago I rebuilt my prototype into a reusable tool. And I made it open source. I built a website, a documentation, and I'd be excited for someone else to try it too. Who knows, maybe if enough people like the idea, I might even make it into a SaaS to save…

    2023 · github.com

  22. 22RO

    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

  23. 23AL

    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

  24. 24DE

    Hey! We’ve built a data extraction tool to flexibly automate data and document processing. You’ve probably seen a few of these, so have we! A few of us have been varyingly stuck trying to automate the extraction of borrower financials for the past 5 years. We think that there are a few missing features of most data extraction tools. * They are usually too complex to quickly get up and running * They are overly constrained in terms of what workflows and documents they support We’ve always felt like speed and flexibility were sticking points, so we went slightly orthogonal to the alternatives.…

    2024 · go.sea.dev

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