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Dev tools · alternatives · 2026

24 alternatives to Constellab

Flexible AI and data platform for everyone

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Constellab launched in 2024; newer entries below may have overtaken it.

  1. 1
    Kollab▲376

    Shared workspace where teams work with agents together

    Apr 2026 · kollab.im · its alternatives →

  2. 2
    Metabase▲313

    Open source business intelligence - Installs in 5 minutes

    2015 · metabase.com · its alternatives →

  3. 3

    With the OpenDataDiscovery Platform, you can collect metadata from any data source, regardless of format or location. This powerful platform provides data discovery, observability, and trust for your entire data pipeline.

    2022 · opendatadiscovery.org · its alternatives →

  4. 4

    Transform data chaos into scientific clarity with Quilt, the AI-powered platform that accelerates research and ensures compliance for life sciences teams.

    2017 · quiltdata.com · its alternatives →

  5. 5

    open source agent engineering platform

    May 2026 · pandaprobe.com · its alternatives →

  6. 6
    Polytomic▲224

    The one platform to sync any data anywhere

    2022 · polytomic.com · its alternatives →

  7. 7

    The last database you'll ever need. Go from idea to IPO.

    2021 · planetscale.com · its alternatives →

  8. 8

    Open-source collaborative agentic workspace for data teams

    Sep 2026 · alkera.ai · its alternatives →

  9. 9

    Local first infinite Ai graph for your thoughts & files

    2024 · constella.app · its alternatives →

  10. 10

    Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…

    2025 · github.com · its alternatives →

  11. 11DA

    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 →

  12. 12

    A Go SQL query builder and struct mapper. Contribute to samonzeweb/godb development by creating an account on GitHub.

    2016 · github.com · its alternatives →

  13. 13
    Ploomber▲112

    Open-source framework for modular data science, ML pipelines

    2022 · its alternatives →

  14. 14

    Connect to any data source, build whatever you want

    2021 · planetcrust.com · its alternatives →

  15. 15TD
  16. 16

    A GPT-4 powered data science team for everyone

    2023 · its alternatives →

  17. 17

    Hi HN, I started building Datastripes as part of my thesis, trying to answer a simple question: How can non-technical teams turn raw data into insights without relying on developers or BI tools? What began as research has now grown into a working product, built by a small team, focused on solving that exact problem. Datastripes is a no-code platform for creating dashboards and data visualizations in minutes: no SQL, no setup, no friction. What it does: Connects to CSVs, Google Sheets, or APIs Drag-and-drop dashboard builder Shareable via public links or embed Fully browser-based We’re…

    Jan 2026 · datastripes.com · its alternatives →

  18. 18
    refinery▲113

    Treating training data as if it was source code

    2022 · accompio.com · its alternatives →

  19. 19

    Hi! We are excited to announce the second release of Desbordante — an open-source, high-performance data profiler that is capable of discovering and validating many different patterns in data using various algorithms. Unlike existing data profilers, Desbordante focuses on discovering complex patterns in data, which are notoriously hard to extract. Since its inception in 2019, it has become the fastest open-source tool for these tasks. It also offers an array of patterns which have no alternative implementations. With this release, Desbordante now supports 17 types of patterns, such as:…

    2024 · github.com · its alternatives →

  20. 20

    Hello HN! My name is Paras and I am building this project called Slashbase. It's an open-source collaborative IDE for databases in browser. Connect to your database, browse data, run a bunch of queries or share queries within your team, right from your browser. Works with two types of databases: PostgreSQL and MongoDB. It's written in Golang and Nextjs React Framework and runs as a single binary. Features: - Cloud based: Setup on your server. Works in browser. - Easy to use: with minimal interface it is simple to use. - Collaborative: Works with your teams. Easy sharing queries within team.…

    2022 · github.com · its alternatives →

  21. 21
    ditData▲83

    No-code data automation platform for startups & SMBs

    2020 · its alternatives →

  22. 22

    Open-source reporting platform to build and share live dashboards from APIs, SQL and NoSQL databases, with powerful AI assistant, scheduling, and embeddable charts 📈📊 - chartbrew/chartbrew

    2021 · github.com · its alternatives →

  23. 23
    Scispot▲70

    No-code digital operating platform for life science SMEs

    2021 · scispot.com · 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 →