Dev tools · alternatives · 2026
24 alternatives to Magniv, One line data science infra
Hey HN! We are https://www.magniv.app/ - Magniv is a platform to enable data scientists to autonomously create, deploy, and maintain data applications within existing infra pipelines. That is, reduce data science reliance on data engineers in mature data organizations. While living between both worlds of software engineering and data science, we have seen a lack of mature organizational tooling for data scientists. Data teams either require embedded data engineers or companies are forced to find a unicorn full-stack data software engineer to hire. On top of that, the tooling…
Magniv is a platform that allows data scientists to independently create, deploy, and maintain data applications within existing infrastructure pipelines. Designed for mature data organizations, it reduces the need for… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Magniv, One line data science infra launched in 2022; newer entries below may have overtaken it.
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A Modern C++ Data Sciences Toolkit
2014 · meta-toolkit.github.io · its alternatives →
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Mage AI helps data teams build, orchestrate, monitor, and repair production data pipelines with editable SQL and Python for analytics, applications, and AI.
2022 · mage.ai · its alternatives →
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Hi HN! I’m Alex from Parabola (https://parabola.io). Parabola is a visual programming tool for creating functional data flows that everyone can use. It’s entirely drag-and-drop, handles data sizes much larger than a traditional spreadsheet, calculates everything live, and can run your flows on a schedule of your choosing. I used to work in strategy consulting, doing data analytics for SMBs and Fortune 500 companies. The amount of time wasted on menial tasks was astounding. Things like cleaning data, generating custom reports, creating human workflows to solve shortcomings in third…
2018 · parabola.io · its alternatives →
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dataviz.tools▲409Curated collection of the 400 best data visualization tools
2017 · dataviz.tools · its alternatives →
- 7DA
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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Every data pipeline job I had to tackle required quite a few components to set up: - One tool to ingest data - Another one to transform it - If you wanted to run Python, set up an orchestrator - If you need to check the data, a data quality tool Let alone this being hard to set up and taking time, it is also pretty high-maintenance. I had to do a lot of infra work, and while this being billable hours for me I didn’t enjoy the work at all. For some parts of it, there were nice solutions like dbt, but in the end for an end-to-end workflow, it didn’t work. That’s why I decided to build an…
2024 · github.com · its alternatives →
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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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Lightning Rod▲340Turn real-world data into training datasets fast
Mar 2026 · lightningrod.ai · its alternatives →
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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 →
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🧙 Build, run, and manage data pipelines for integrating and transforming data. - mage-ai/mage-ai
2022 · github.com · its alternatives →
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No-code visual data transformation software tool for Windows & Mac. Download a free trial.
2019 · easydatatransform.com · its alternatives →
- 17OD
Hello Hacker News! We are Rick & Yannick from Orchest (https://www.orchest.io - https://github.com/orchest/orchest). We're building a visual pipeline tool for data scientists. The tool can be considered to be high-code because you write your own Python/R notebooks and scripts, but we manage the underlying infrastructure to make it 'just work™'. You can think of it as a simplified version of Kubeflow. We created Orchest to free data scientists from the tedious engineering related tasks of their job. Similar to how companies like Netflix, Uber and Booking.com…
2020 · its alternatives →
- 181G
2020 · cloud.blobcity.com · its alternatives →
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Find information, resources and relevant links for tripl.ai. This domain may be for sale.
2021 · arc.tripl.ai · its alternatives →
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Production infrastructure for machine learning at scale - cortexlabs/cortex
2019 · github.com · its alternatives →
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First open-source data discovery and observability platform
2022 · opendatadiscovery.org · its alternatives →
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The Open Source Data Science Masters. Contribute to datasciencemasters/go development by creating an account on GitHub.
2014 · github.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 →