AI · alternatives · 2026
24 alternatives to Datalis
I’ve been working on Datalis, a platform that supplies consent-verified, anonymised demographic and location datasets for AI teams. These datasets are built for fairness benchmarking, bias testing, and model robustness evaluation — all aggregated, no PII, no scraping. Each panel combines regional demographic data (age, gender, income, education, occupation) with geographic context to help labs test model outputs across diverse populations. We’ve just opened a free 30-day pilot for startups, researchers, and AI teams who want to run evaluations using real, ethical ground-truth data. CSV and…
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 2 we have checked on their own sites, 2 of them free or with a free tier.
- 1
AgentSea▲439Today we’re excited to introduce AgentSea, a private AI chat built for sensitive work. When you use closed-source AI models, your data can: – be stored – pulled into training pipelines – shared with third parties That might be fine if you’re making memes or drafting LinkedIn posts. But it becomes a serious risk when you’re pasting contracts, health info, financial data, or business secrets. That’s why we built AgentSea. In Secure Mode, all chats run on open-source models or models hosted on our own servers. Your data never leaves, is never used for training, and is never leaked. Agentsea…
2025 · agentsea.com · its alternatives →
- 2

- 3

Yeah, there's AI, but I added it because I found it easier to find answers I'm looking for. For the data scientists, you can download the CSV and go crazy. Would love to know what discoveries or learnings can be found from it. To download the raw scraped data you need to become a paid member but you don't really need it unless you're wanting to finesse a table of data for a particular need. The cost is mostly just an incentive to help me pay the bills for running the website. The bunch of available CSV files contain large amounts of data which has everything from tags, genres, pricing,…
2025 · gginsights.io · its alternatives →
- 4
ChartGen AI▲489Hi HN, I’m the maker of ChartGen AI. Last year, we launched a text-based AI agent called Ada.im. After analyzing thousands of user interactions, we stumbled upon a pattern we hadn't expected: users were constantly trying to paste data rows and ask for visual representations, but the text-based model couldn't handle it well. We realized that for marketers, seeing the trend is more valuable than reading about it. We pivoted that insight into a standalone tool: Drag & Drop: Upload raw CSVs (FB Ads, GA4, TikTok, etc.). Processing: We map the disparate column names into a unified schema. Viz: It…
Jan 2026 · chartgen.ai · its alternatives →
- 5
Livedocs▲474Bring live data from anywhere into your docs, without code
Jan 2026 · livedocs.com · its alternatives →
- 6

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 →
- 7
DataSquirrel.ai▲268Fastest way: csv/xls to dashboard report, no ChatGPT upload
2023 · datasquirrel.ai · its alternatives →
- 8

Reduce bias in AI systems with synthetic face datasets
2020 · generated.photos · its alternatives →
- 9
Opper AI▲229Hey HN! After the Car Wash Test post got quite a big discussion going (400+ comments, https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use. You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model. You can also run a debate round where models see each other's reasoning and get a…
Jul 2026 · opper.ai · its alternatives →
- 10
Ithy AI▲167This is another one of my automate-my-life projects - I'm constantly asking the same question to different AIs since there's always the hope of getting a better answer somewhere else. Maybe ChatGPT's answer is too short, so I ask Perplexity. But I realize that's hallucinated, so I try Gemini. That answer sounds right, but I cross-reference with Claude just to make sure. This doesn't really apply to math/coding (where o1 or Gemini can probably one-shot an excellent response), but more to online search, where information is more fluid and there's no "right" search engine + text…
2025 · ithy.com · its alternatives →
- 11

Hey HN! This has been my project for a few years now. I recently brought it back to life after taking a pause to focus on my studies. My goal with this project is to separate fluff from science when shopping for supplements. I am doing this in 3 steps: 1.) I index every supplement on the market (extract each ingredient, normalize by quantity) 2.) I index every research paper on supplementation (rank every claim by effect type and effect size) 3.) I link data between supplements and research papers Earlier last year, I took pause on a project because I've ran into a few issues: Legal: Shady…
Jan 2026 · pillser.com · its alternatives →
- 12
thisorthis.ai▲135Hey HN — I'm Parth, I built thisorthis.ai because I was tired of copy-pasting the same prompt across ChatGPT, Claude, and Gemini tabs to figure out which model actually gave the best answer. What it does: You type one prompt, pick 2–6 models (we support 47 text models and several image models across OpenAI, Anthropic, Google, xAI, Meta, Amazon, Mistral, Cohere, AI21), and see every response side-by-side. There's also a feature called SmartPick that uses an LLM evaluator to score each response on Clarity, Accuracy, Completeness, and Helpfulness — useful when you're comparing 6 models and…
2024 · thisorthis.ai · its alternatives →
- 13IM
The idea is to share data-based insights about sexual life I’ve worked in SexEd startups, and it’s wild that humanity doesn’t have this data. Most major academic studies have focused on sex primarily from a health and reproduction perspective, leaving many important and interesting questions unexplored (for many reasons) To promote transparency, the anonymous data will be open-sourced, allowing researchers, students and anyone interested to analyze it
2025 · worldsexmap.com · its alternatives →
- 14

Hey HN! A few months ago we shared our AI dataset generator as an open source repo, and the response was incredible (https://news.ycombinator.com/item?id=44388093). We got requests from folks who wanted to use it without the hosting overhead, so we created both options: a hosted version (https://www.metabase.com/ai-data-generator for instant use and the source code fully open (https://github.com/metabase/dataset-generator) for anyone who wants to self-host or contribute. Looking forward to seeing how you use it and what you build on top of…
2025 · metabase.com · its alternatives →
- 15IA
Hey HN! This is Steve from integrate.ai (https://integrate.ai). Our platform unlocks a range of machine learning and analytics capabilities on data that would otherwise be difficult or impossible to access due to privacy, confidentiality, or technical hurdles. Traditional approaches to machine learning and analytics require centralization and aggregation of data sources. Given the increasingly distributed nature of data - across organizations, across borders, and across connected devices - centralizing the data necessary for machine learning and analytics often requires complex…
2022 · its alternatives →
- 16
Hi everyone, we are excited to share with you our new release of Data Formulator. Starting from a dataset, you can communicate with AI agents with UI + natural language to explore data and create visualizations to discover new insights. Here's a demo video of the experience: https://github.com/microsoft/data-formulator/releases/tag/0..... This is a build-up from our release a year ago (https://news.ycombinator.com/item?id=41907719). We spent a year exploring how to blend agent mode with interactions to allow you more easily "vibe" with your…
Nov 2025 · data-formulator.ai · its alternatives →
- 17
Datatune ▲38Modern AI tools use SQL/Code generation agents or RAG to access the user data to perform transformations. However, the drawback is that this doesn't provide row-level intelligence, especially in case of semantic intelligence is required to understand how to perform the transfromations on each row of the data. We've released Datatune (https://github.com/vitalops/datatune) as a tool to let users connect entire user Data with LLMs and Agents, to help users access their entire data with just a prompt. While building Agents for a customer who had large amounts of data, we…
Jan 2026 · github.com · its alternatives →
- 18
Dashport.ai▲40We developed an AI-driven program for data reports. I have seen the problem with founders, analysts and directors not having the control over their own data. They either waited too long for data reports from their team or struggled with complex coding. We wanted to fix this by creating a tool that works in seconds and requires no coding. The users can upload their data (Excel, CSV, MySQL files etc) and they can ask any question they want in a natural language. They will get interactive dashboards with changeable colors, sizes, type of charts etc. Please leave your feedback if you try it out,…
2025 · dashport.ai · its alternatives →
- 19

Read expert insights on synthetic data, data privacy, and modern software testing. Explore articles from Tonic.ai’s AI engineering team.
2022 · tonic.ai · its alternatives →
- 20

Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com · its alternatives →
- 21

Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
2025 · github.com · its alternatives →
- 22
Oumi▲24Since yesterday, I've created a dataset out of a few docs I had (hackathon organization instructions) and then started fine tuning qwen 3.5. So it only took a few hours! I'm impressed by the ease of use - it's a chatbot and even if you don't have a lot of experience you can follow steps. Though don't want to undermine it, I'm sure could be a great fit for serious labs too.
Apr 2026 · oumi.ai · its alternatives →
- 23TA
Data automation and visualization platform for spreadsheet users.
2022 · columns.ai · its alternatives →
- 24DO
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 · its alternatives →
Also compare
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 →