Alternatives

Products that do what Ploomber does

Open-source framework for modular data science, ML pipelines

1
Ploomber Cloud▲106
Deploy AI/ML/data apps for free.
2023
2
Orchest▲112
An open source tool for creating data science pipelines
2020
3
Magniv▲100
One line data science infra, Open-Source Python library
2022
4
Morph Beta▲138
All-in-one data studio: AI-powered, real-time collaboration
2023
5DA
dstack – an open-source tool to build data applications easily▲134
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
6
Redash▲210
Query your data, visualize it and share with your team
2018
7
Instill VDP▲130
Open source unstructured data ETL for AI first applications
2024
8
Helix▲153
Train your own AI with open-source AI and your data
2023
9
Modelbit▲125
Heroku for Data Science, from the founders of Periscope Data
2023
10
Ludwig▲167
Uber's code-free deep learning toolbox
2019
11
OpenMolt▲132
Let your code create and manage AI Agents (OpenSource)
Mar 2026
12LA
Laboratory, a Python port of GitHub's Scientist library for refactoring▲153
2016 · github.com
13PA
PyCloud, a Python IDE in the web browser with interactive tutorials▲130
2011 · jitouch.com
14
Datashake Hub▲124
No-code data aggregation & export
2024
15
OpenBox▲171
See, verify, and govern every agent action.
Apr 2026
16OD
Orchest – Data Science Pipelines▲64
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
17
DataTorch▲69
Build and share datasets to experiment with ML
2021
18PB
Plash – Build and run containers▲66
2018 · github.com
19
Moleculer▲92
Fast & modern microservices framework for Node.js.
2018
20OS
Open sourcing a data flow engine for Clojure/Script▲116
2019 · domino-clj.github.io
21PL
Pipelines – Language for scripting parrallel pipelines with Python▲69
2019 · github.com
22
TankWork▲53
Framework to deploy desktop computer-use agents
2025
23
IntelliBrush▲82
Annotate complex data 10x faster with AI
2022
24PC
Ploomber Cloud Notebooks – Share Jupyter notebooks with one click▲5
2023 · docs.cloud.ploomber.io

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