Dev tools · alternatives · 2026
24 alternatives to Instant Datasets: Production data for development
Hello, Hacker News! I'm Erik, cofounder of Release (YCW20). At Release we help “virtualize” your environment, so you can quickly reproduce it for various purposes: remote development, testing, staging, or even running production. But, today I would like to introduce our most popular feature that we are now offering for free: Instant Datasets! Instant Datasets allows you to easily create multiple pools of datasets and distribute them to your teams and it cleans up after itself. Imagine you have multiple production databases in RDS and you need that data when doing testing and development. I…
Instant Datasets is a feature that lets development teams quickly create and distribute copies of production databases for testing and development work. The tool automatically manages multiple dataset pools and cleans… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Instant Datasets: Production data for development launched in 2023; newer entries below may have overtaken it.
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Hey there HN! We’re Joe and Stopa, and today we’re open sourcing InstantDB, a client-side database that makes it easy to build real-time and collaborative apps like Notion and Figma. Building modern apps these days involves a lot of schleps. For a basic CRUD app you need to spin up servers, wire up endpoints, integrate auth, add permissions, and then marshal data from the backend to the frontend and back again. If you want to deliver a buttery smooth user experience, you’ll need to add optimistic updates and rollbacks. We do these steps over and over for every feature we build, which can…
2024 · github.com · its alternatives →
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InstantDB▲320Complete backend with auth and storage in one prompt
Apr 2026 · instantdb.com · its alternatives →
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Superset▲541Hey HN, we’re Avi, Kiet, and Satya. We’re building Superset, an open-source terminal made for managing a bunch of coding agents (Claude Code, Codex, etc) in parallel. - Superset makes it easy to spin up git worktrees and automatically setup your environment - Agents and terminal tabs are isolated to worktrees, preventing conflicts - Built-in hooks [0] to notify when your coding agents are done/needs attention, - A diff viewer to review the changes and make PRs quickly We’re three engineers who’ve built and maintained large codebases, and kept wanting to work on as many features in…
Feb 2026 · superset.sh · its alternatives →
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Everything you ever wanted to know about YC companies
2018 · ycdb.co · its alternatives →
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Generate custom data & API to build apps in less than 30s
2021 · retool.com · its alternatives →
- 6
AI Dataset Generator – Create realistic datasets for demos, learning, and dashboards - metabase/dataset-generator
2025 · github.com · its alternatives →
- 7SP
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 →
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- 9AT
A bunch of developers and myself have created RepliByte - an open-source tool to seed a development database from a production database. Features: - Support data backup and restore for PostgreSQL, MySQL and MongoDB - Replace sensitive data with fake data - Works on large database (> 10GB) (read Design) - Database Subsetting: Scale down a production database to a more reasonable size - Start a local database with the prod data in a single command - On-the-fly data (de)compression (Zlib) - On-the-fly data de/encryption (AES-256) - Fully stateless (no server, no daemon) and lightweight…
2022 · its alternatives →
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- 11PS
Hello HN, I am Sai Srirampur, one of the Co-founders of PeerDB. (https://github.com/PeerDB-io/peerdb). We spent the past 7 months building a solid experience to replicate data from Postgres to data warehouses. Now we're expanding to queues. PeerDB Streams provides a simple and native way to replicate changes as they happen in Postgres to Queues (Kafka, Redpanda, Google PubSub, etc). We use Postgres logical decoding to enable Change Data Capture (CDC). Blog post here: https://blog.peerdb.io/peerdb-streams-simple-native-postgres.... 10-min quickstart here:…
2024 · its alternatives →
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Baserow▲341Baserow 2.0 introduces workflow automations, the Kuma AI assistant, date dependencies, smarter AI fields, workspace search, and improved security with 2FA.
2022 · baserow.io · its alternatives →
- 131G
2020 · cloud.blobcity.com · its alternatives →
- 14
2020 · textdb.dev · its alternatives →
- 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 →
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A grid library for instant big data processing
2022 · datatable.dev · its alternatives →
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GoMask.ai▲96Describe the dataset you need in plain English. Data Factory drafts the schema, keeps your correlations and generates up to a million rows. 1,000 free.
Oct 2025 · gomask.ai · its alternatives →
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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 →
- 19QB
2018 · blog.machinebox.io · its alternatives →
- 20GT
2013 · databasetestdata.com · its alternatives →
- 211S
2011 · mortardata.com · its alternatives →
- 22DC
2016 · datasets.co · its alternatives →
- 23
Superset▲69Enterprise-ready business intelligence web application.
2018 · github.com · its alternatives →
- 24
Hi HN, We're Anna, Adrian, Marcin and Matt, developers of dlt. dlt is an open source library to automatically create datasets out of messy, unstructured data sources. You can use the library to move data from about anywhere into most of well known SQL and vector stores, data lakes, storage buckets, or local engines like DuckDB. It automates many cumbersome data engineering tasks and can by handled by anyone who knows Python. Here’s our Github: https://github.com/dlt-hub/dlt Here’s our Colab demo:…
2023 · colab.research.google.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 →