Dev tools · alternatives · 2026
24 alternatives to Orchest – Data Science Pipelines
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…
Orchest is a visual pipeline tool that lets data scientists write Python and R notebooks and scripts while the platform handles underlying infrastructure management. It automates engineering tasks like cloud… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Orchest – Data Science Pipelines launched in 2020; newer entries below may have overtaken it.
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Orchest▲112An open source tool for creating data science pipelines
2020 · orchest.io · 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 →
- 4DA
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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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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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 →
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An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform. - san089/goodreads_etl_pipeline
2020 · github.com · 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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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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Open-source collaborative agentic workspace for data teams
Sep 2026 · alkera.ai · its alternatives →
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node-based editor for exploring, analyzing and transforming data without code
2021 · datablocks.pro · its alternatives →
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Get and manipulate data with a visual programming interface.
2017 · pipes.digital · its alternatives →
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- 14SP
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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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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Local-first enterprise analytics on your infrastructure. Query in plain English or SQL, build dashboards, keep data sovereign—flat team pricing.
Apr 2026 · orcasheets.ai · its alternatives →
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- 18VO
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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Orchestly▲81Automate and optimize your routine business workflows
2019 · qntrl.com · its alternatives →
- 20BA
2019 · bamboolib.com · its alternatives →
- 211G
2020 · cloud.blobcity.com · its alternatives →
- 22DE
2012 · datafart.com · its alternatives →
- 23IM
2017 · xyz.insightdataengineering.com · its alternatives →
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I often find myself in situations where I need to extract some data from a website, either as one time thing or periodically (and then watch for changes). Maybe I'm tracking stocks, or a delivery, or I want to know when tickets become available to the local sauna; maybe a friend called and asked "can you get me all data from that website into a spreadsheet?" (this happens surprisingly often) I used to write one-off scripts for that, often with Python or JavaScript, but I noticed I spend about one minute getting the right CSS selectors, and then another 10 minutes setting the rest of the…
2024 · 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 →