Dev tools · alternatives · 2026
24 alternatives to Ploomber Cloud (YC W22) – run notebooks at scale without infrastructure
Hi, we’re Ido & Eduardo, the founders of Ploomber. We’re launching Ploomber Cloud today, a service that allows data scientists to scale their work from their laptops to the cloud. Our open-source users (https://github.com/ploomber/ploomber) usually start their work on their laptops; however, often, their local environment falls short, and they need more resources. Typical use cases run out of memory or optimize models to squeeze out the best performance. Ploomber Cloud eases this transition by allowing users to quickly move their existing projects into the cloud without…
Ploomber Cloud is a service that enables data scientists to run their notebook-based projects on cloud infrastructure without reconfiguration. It allows users to scale work from local laptops to the cloud, addressing… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Ploomber Cloud (YC W22) – run notebooks at scale without infrastructure launched in 2022; newer entries below may have overtaken it.
- 1
Run hundreds of parallel ML experiments in the cloud
2022 · its alternatives →
- 2
- 3
- 4
- 5
- 6
Runs anything you can put into a Docker container. Improve your workflow with polyglot notebooks, automatic versioning and real-time collaboration. Save time and money with on-demand provisioning, including GPU support. Use it for ML, data science, runnable tutorials, for your classroom or scientifi
2019 · nextjournal.com · its alternatives →
- 7
ByteNite▲206Hi HN, I’m one of the creators of ByteNite (https://bytenite.com). We built it for developers running compute-heavy containerized workloads (AI, ETL, batch jobs) who are frustrated with the limitations of traditional serverless platforms: timeouts, cold starts, orchestration complexity, and limited runtime control. ByteNite is a serverless platform that lets you submit distributed jobs packaged as Docker containers. You define simple or complex fan-out/fan-in logic, set your hardware requirements, and we handle the rest—distributing execution across warm cloud runners (CPUs,…
2025 · docs.bytenite.com · its alternatives →
- 8PC
2023 · docs.cloud.ploomber.io · its alternatives →
- 9
Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…
2024 · github.com · its alternatives →
- 10PC
Hi HN! Porter Cloud (https://porter.run/porter-cloud) is a Platform as a Service (PaaS) like Heroku, but we make it easy for you to migrate to AWS, Azure, or GCP when you're ready. Like Heroku, Porter takes care of a lot of generic DevOps work for you (like setting up CI/CD, containerizing your applications, autoscaling, SSL certificates, setting up a reverse proxy) and lets you deploy your apps with a few clicks — saving you a lot of time while developing. However, as you probably know, there’s a downside: platforms like this become constraining if and when your app…
2024 · its alternatives →
- 11
Branchable computing by using a portable, lightweight, self-contained virtual machine - smol-machines/smolvm
Apr 2026 · github.com · its alternatives →
- 12
Open-source collaborative agentic workspace for data teams
Sep 2026 · alkera.ai · its alternatives →
- 13
The easiest cloud IDE for deep learning
2018 · blog.floydhub.com · its alternatives →
- 14
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 →
- 15
Accelerating open machine learning research with Cloud TPUs
2017 · sites.research.google · its alternatives →
- 16
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 →
- 17
Contribute to Mega4alik/ollm development by creating an account on GitHub.
2025 · github.com · its alternatives →
- 18
Hi HN! Last year, we shared marimo [1], an open-source reactive notebook for Python with support for execution through WebAssembly [2]. We wanted to share something new: you can now run marimo and Jupyter notebooks directly from GitHub in a Wasm-powered, codespace-like environment. What makes this powerful is that we mount the GitHub repository's contents as a filesystem in the notebook, making it really easy to share notebooks with data. All you need to do is prepend 'marimo.app' to any Python notebook on GitHub. Some examples: - Jupyter Notebook:…
2025 · docs.marimo.io · its alternatives →
- 19
We launched marimo [1], an open-source reactive Python notebook, last year on HackerNews. Today, the most popular recent feature request in Google Colab’s issue tracker asks for marimo support in Colab [2]. Rather than try to convince Google to replace their notebook with marimo, we decided to just build our own cloud-hosted notebook service instead. We're calling this molab (mo for marimo), and we're launching it today. You can try it at https://molab.marimo.io Some features: - Persistent storage - Link sharing (notebooks are public but undiscoverable, like secret GitHub Gists) -…
2025 · molab.marimo.io · its alternatives →
- 20
Get and manipulate data with a visual programming interface.
2017 · pipes.digital · its alternatives →
- 21
- 22
Evoke▲317Run open source AI models on the cloud with our APIs
2023 · evoke-app.com · its alternatives →
- 23
Jupyter notebooks you can run on free cloud GPUs
2019 · its alternatives →
- 24
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 →
Also compare
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 →