Dev tools · alternatives · 2026
24 alternatives to Tonic
The best things in life are Free, including this CSV tool
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Tonic launched in 2019; newer entries below may have overtaken it.
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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 →
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The AI agent for synthetic data generation
Nov 2025 · tonic.ai · its alternatives →
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Tonic Ephemeral▲183Spin up fully populated test databases in seconds
2024 · tonic.ai · its alternatives →
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We are building Tonic Ephemeral - a purpose built test database that is easy and fast to spin up (or down) based on your dev and test requirements. As engineers who worked on data at Palantir and Tableau, we've seen developers struggle to get isolated test databases when needed. We faced the same problem while we were building our core product at Tonic. Based on this, we decided to build something for ourselves and then realized some of our customers loved it too. Today, we are sharing Tonic Ephemeral with the world. Briefly, Tonic Ephemeral manages test data infrastructure. In my…
2024 · docs.tonic.ai · its alternatives →
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Hey HN! We're excited to announce the launch of Tonic Textual, the secure data lakehouse for LLMs. Simply stated, Tonic Textual allows you to build generative AI systems on your own unstructured data without having to spend time extracting and standardizing your data. In minutes you can build automated, scalable unstructured data pipelines that extract, centralize, standardize, and enrich data from your documents into an AI-optimized format ready for embedding, fine-tuning, and ingesting into a vector database. While in-flight, we also scan for sensitive information and protect it via…
2024 · tonic.ai · its alternatives →
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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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Hey HN! We’ve built Pretzel, an open-source data exploration and visualization tool that runs fully in the browser and can handle large files (200 MB CSV on my 8gb MacBook air is snappy). It’s also reactive - so if, for example, you change a filter, all the data transform blocks after it re-evaluate automatically. You can try it here: https://pretzelai.github.io/ (static hosted webpage) or see a demo video here: https://www.youtube.com/watch?v=73wNEun_L7w You can play with the demo CSV that’s pre-loaded (GitHub data of text-editor adjacent projects) or upload…
2024 · github.com · its alternatives →
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Analyzing and visualizing data from CSV files
2025 · claude.com · its alternatives →
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Hey HN, Joe and Ethan from Tonic.ai here. We just released a new open-source python package for evaluating the performance of Retrieval Augmented Generation (RAG) systems. Earlier this year, we started developing a RAG-powered app to enable companies to talk to their free-text data safely. During our experimentation, however, we realized that using such a new method meant that there weren’t industry-standards for evaluation metrics to measure the accuracy of RAG performance. We built Tonic Validate Metrics (tvalmetrics, for short) to easily calculate the benchmarks we needed to meet in…
2023 · github.com · its alternatives →
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OpenSheet▲86Hi folks. I've been doing some experiments on how LLMs could get more handy in the day to day of working with files (CSV, Parquet, etc). Earlier last year, I built https://datakit.page and evolved it over and over into an all in-browser experience with help of duckdb-wasm. Got loads of feedbacks and I think it turned into a good shape with being an adhoc local data studio, but I kept hearing two main things/issues: Why can't the AI also change cells in the file we give to it? Why can't we modify this grid ourselves? So besides the whole READ and text-to-SQL flows, what seemed…
Feb 2026 · opensheet.app · its alternatives →
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2017 · engblog.nextdoor.com · its alternatives →
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SmoothCSV▲11Hi HN, I'm kohii, a software engineer from Japan. I've been building CSV editors for 15 years. This is my third rewrite from scratch, built with Tauri, Rust, and web technologies. *Why I built this:* Modern dev tools, that I use daily, are incredibly polished. CSV editors, not so much. I wanted a tool that handles CSVs as they are (messy column counts, various encodings, any delimiter or quoting style), preserves the original format, and gives you a polished spreadsheet UI with thoughtful UX. *What SmoothCSV does:* - *Fast*: Opens 100MB files in 1.6 seconds. (12x faster than Excel) -…
2025 · smoothcsv.com · its alternatives →
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CSV Visualizer: Turn raw data into stunning visuals fast! 📊
2024 · csv-data-visualizer.netlify.app · its alternatives →
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2013 · easycsv.com · its alternatives →
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Free tool to generate realistic synthetic data from your own CSV. Augment small datasets for machine learning, fix class imbalance, and expand training data — with honest quality scoring and ML-readiness (TSTR) testing. No signup required.
Jul 2026 · syntheticrows.com · 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 →