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AI · alternatives · 2026

24 alternatives to DataHerb

DataHerb provides small dataset to enhance your big dataset.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. DataHerb launched in 2020; newer entries below may have overtaken it.

  1. 1

    The fastest easiest way to understand your data

    2014 · its alternatives →

  2. 2

    Making it easier to discover datasets. Made by Google.

    2018 · datasetsearch.research.google.com · its alternatives →

  3. 3
    Capalyze▲809

    ChatGPT for datavores: scrape → ask → visualize

    2025 · capalyze.ai · its alternatives →

  4. 4

    The easiest data visualization tool you've every seen

    2022 · its alternatives →

  5. 5

    What's in your data? Extract schema, statistics and entities from datasets - capitalone/DataProfiler

    2021 · github.com · its alternatives →

  6. 6DC
  7. 7

    Understand datasets & improve data quality, by Google PAIR

    2021 · knowyourdata.withgoogle.com · its alternatives →

  8. 8
  9. 9
    Metabase▲313

    Open source business intelligence - Installs in 5 minutes

    2015 · metabase.com · its alternatives →

  10. 10

    Empowering you to leverage the world’s data

    2021 · its alternatives →

  11. 11
    Dataku▲299

    Your smartest data extraction helper powered by AI

    2024 · dataku.ai · its alternatives →

  12. 12DD

    Gleb, Alex, Erez and Simon here – we are building an open-source tool for comparing data within and across databases at any scale. The repo is at https://github.com/datafold/data-diff, and our home page is https://datafold.com/. As a company, Datafold builds tools for data engineers to automate the most tedious and error-prone tasks falling through the cracks of the modern data stack, such as data testing and lineage. We launched two years ago with a tool for regression-testing changes to ETL code…

    2022 · its alternatives →

  13. 13

    Hi HN community. We are excited to open source Dataherald’s natural-language-to-SQL engine today (https://github.com/Dataherald/dataherald). This engine allows you to set up an API from your structured database that can answer questions in plain English. GPT-4 class LLMs have gotten remarkably good at writing SQL. However, out-of-the-box LLMs and existing frameworks would not work with our own structured data at a necessary quality level. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the…

    2023 · github.com · its alternatives →

  14. 14
    RelateDB▲140

    Offline-first database schema designer in your browser

    Jan 2026 · relatedb.com · its alternatives →

  15. 15DA

    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 · its alternatives →

  16. 16

    A grid library for instant big data processing

    2022 · datatable.dev · its alternatives →

  17. 17

    I created a web page to compare different analytical databases (both self-managed and services, open-source and proprietary) on a realistic dataset. It contains 20+ databases, each with installation and data loading scripts. And they can be compared to each other on a set of 43 queries, by data load time or by storage size. There are switches to select different types of databases for comparison - for example, only MySQL compatible or PostgreSQL compatible. If you play with the switches, many interesting details will be uncovered. Full description:…

    2022 · benchmark.clickhouse.com · its alternatives →

  18. 18

    Build and share datasets to experiment with ML

    2021 · datatorch.io · its alternatives →

  19. 19

    No-code data aggregation & export

    2024 · datashake.com · its alternatives →

  20. 20SP

    Hi HN, Over the past 6 months I've been working on a technical book focused on helping aspiring data scientists to get hands-on experience with cloud computing environments using the Python ecosystem. The book is targeted at readers already familiar with libraries such as Pandas and scikit-learn that are looking to build out a portfolio of applied projects. To author the book, I used the Leanpub platform to provide drafts of the text as I completed each chapter. To typeset the book, I used the R bookdown package by Yihui Xie to translate my markdown into a PDF format. I also used Google docs…

    2020 · its alternatives →

  21. 21

    Improve data quality with smart synthetic data

    2023 · pypi.org · its alternatives →

  22. 22

    Manage your survey and user research responses at scale

    2024 · ballparkhq.com · its alternatives →

  23. 23

    Simple, real-time, fun & lightweight web analytics solution

    2023 · datapulse.app · its alternatives →

  24. 24

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →