Growth · alternatives · 2026
24 alternatives to Dataherald
The easiest data visualization tool you've every seen
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Dataherald launched in 2022; newer entries below may have overtaken it.
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Long story short: We (Dataherald) just open-sourced our entire codebase, including the core engine, the clients that interact with it and the backend application layer for authentication and RBAC. You can now use the full solution to build text-to-SQL into your product. The Problem: modern LLMs write syntactically correct SQL, but they struggle with real-world relational data. This is because real world data and schema is messy, natural language can often be ambiguous and LLMs are not trained on your specific dataset. Solution: The core NL-to-SQL engine in Dataherald is an LLM based agent…
2024 · github.com · its alternatives →
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- 4NC
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 · its alternatives →
- 5DN
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…
2022 · medium.com · its alternatives →
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Preswald▲609AI agent for building data apps, dashboards and reports
2025 · preswald.com · its alternatives →
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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 →
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dataviz.tools▲409Curated collection of the 400 best data visualization tools
2017 · dataviz.tools · its alternatives →
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- 10P3
2020 · leeoniya.github.io · its alternatives →
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- 12LV
2016 · alooma.com · its alternatives →
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Simple, real-time, fun & lightweight web analytics solution
2023 · datapulse.app · its alternatives →
- 16VO
Hello HN. I've always found writing data visualisation scripts boring and repetitive in data science workflows earlier in my career, so I built this tool to automate it. The available methods are based on my experience in econometrics where histograms and scatterplots were the starting points to check data distributions. The link is to the documentation and the app is freely available at https://visprex.com, and if you're curious about the implementation it's open source at https://github.com/visprex/visprex. I'd appreciate any comments and feedback!
2024 · docs.visprex.com · its alternatives →
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Creating data visualizations with AI nowadays often means chat, chat and more chats...and writing long prompts can be annoying while they are also not the most effective way to describe your visualization designs. Data Formulator blends UI interaction with natural language so that you can create visualizations with AI much more effectively! You can: * create rich visualizations beyond initial datasets, where AI helps transforming and visualizing data along the way * iterate your designs and dive deeper using data threads, a new way to manage your conversation with AI. Here is a demo video:…
2024 · github.com · its alternatives →
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Statpedia▲125Simple chart creation tool, create one in seconds.
2016 · statpedia.com · its alternatives →
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- 24DA
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 →
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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 →