AI · alternatives · 2026
24 alternatives to PostgreSQL and Machine Learning - step-by-step python tutorial
Learn how to combine PostgreSQL and machine learning workflows in Python, from data extraction to model training and analysis.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. PostgreSQL and Machine Learning - step-by-step python tutorial launched in 2020; newer entries below may have overtaken it.
- 1PN
We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org
2022 · postgresml.org · its alternatives →
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PostgresML▲106You know Postgres, now you know machine learning
2023 · postgresml.org · its alternatives →
- 4
Postgres with GPUs for ML/AI apps. Contribute to postgresml/postgresml development by creating an account on GitHub.
2022 · github.com · its alternatives →
- 5
postgres.new▲774The in-browser Postgres sandbox with AI assistance
2024 · database.build · its alternatives →
- 6
PgQueuer is a Python job queue that uses PostgreSQL for everything — queue storage, locking, notifications. No Redis, no RabbitMQ, no separate broker to operate. If your app already has Postgres, you already have the broker. After ~2 years and 26 minor releases, 1.0 ships today as the first stable release. Strict semver from here on. Thanks to everyone who contributed and left feedback!
2024 · github.com · its alternatives →
- 71R
2016 · magic.io · its alternatives →
- 8
My Machine Learning Web Service. Contribute to pplonski/my_ml_service development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 9
GraphQL for Postgres. Contribute to solidsnack/GraphpostgresQL development by creating an account on GitHub.
2015 · github.com · its alternatives →
- 10
This extension let's you write PRQL functions in PostgreSQL. When I first saw PRQL on Hacker News a few months ago, I was immediately captivated by the idea, yet equally disappointed that there was no integration for PostgreSQL. Having previous experience with writing PostgreSQL extensions in C, I thought this was a great opportunity to try out the pgrx framework and decided to integrate PRQL with PostgreSQL myself. The maintainers of both PRQL and pgrx were very nice to work with. Thanks guys.
2024 · github.com · its alternatives →
- 11
a delightful machine learning tool that allows you to train, test, and use models without writing code - nidhaloff/igel
2020 · github.com · its alternatives →
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Contribute to Z-Gort/Reservoirs-Lab development by creating an account on GitHub.
2024 · github.com · its alternatives →
- 14
Hands-on tutorials to learn Postgres
2022 · crunchydata.com · its alternatives →
- 15
Polygres▲58Polygres turns the Postgres you already run into internal search for AI agents. Rows, relationships, and embeddings: one hybrid query, one ranked answer.
Jul 2026 · polygres.com · its alternatives →
- 16
Learning machine learning has never been easier
2017 · amazon.com · its alternatives →
- 17CR
The goal of Carton is to let you use a single interface to run any machine learning model from any programming language. It’s currently difficult to integrate models that use different technologies (e.g. TensorRT, Ludwig, TorchScript, JAX, GGML, etc) into your application, especially if you’re not using Python. Even if you learn the details of integrating each of these frameworks, running multiple frameworks in one process can cause hard-to-debug crashes. Ideally, the ML framework a model was developed in should just be an implementation detail. Carton lets you decouple your application from…
2023 · carton.run · its alternatives →
- 18
Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 19
Hi HN, I’ve been working on an OCR pipeline specifically optimized for machine learning dataset preparation. It’s designed to process complex academic materials — including math formulas, tables, figures, and multilingual text — and output clean, structured formats like JSON and Markdown. Some features: • Multi-stage OCR combining DocLayout-YOLO, Google Vision, MathPix, and Gemini Pro Vision • Extracts and understands diagrams, tables, LaTeX-style math, and multilingual text (Japanese/Korean/English) • Highly tuned for ML training pipelines, including dataset generation and…
2025 · github.com · its alternatives →
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a delightful machine learning tool that allows you to train, test, and use models without writing code - GitHub - nidhaloff/igel at v0.4.0
2021 · github.com · its alternatives →
- 22
Hey! I'm Andrei. I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books. So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction. Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore. So,…
Jul 2026 · postgres.saneengineer.com · its alternatives →
- 23
Interactive SQL database exploration in Python. Contribute to boydgreenfield/query development by creating an account on GitHub.
2014 · github.com · its alternatives →
- 24
Hey HN! We're Phil and Ming, co-founders of Retake (https://github.com/getretake/retake). Retake is an open source tool that adds keyword and semantic (i.e hybrid) search to databases. We’ve started by extending the capabilities of Postgres with an SDK for lightning-fast queries. We built Retake to fix two issues: keeping vectors in sync with Postgres in real time is difficult, and most vector databases aren’t built for hybrid search. A quick refresher: “keyword search” refers to a technique where results are scored based on the appearance of exact words or terms.…
2023 · github.com · its alternatives →
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