Dev tools · alternatives · 2026

24 alternatives to FP Growth – Powerful algo in data mining with Python Implementation

🔨 Python implementation of FP Growth algorithm, new and simple! - chonyy/fpgrowth_py

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. FP Growth – Powerful algo in data mining with Python Implementation launched in 2020; newer entries below may have overtaken it.

1
A simple lazy Python calculation engine, with spreadsheet demo▲123
Simple Python Calculation Engine. Contribute to bsdz/calcengine development by creating an account on GitHub.
2021 · github.com · its alternatives →
2OT
Optimized trading algorithms using IPython parallel and ec2▲102
2013 · twiecki.github.com · its alternatives →
3
TensorFlow 1.0▲80
Open-source machine learning library by Google
2018 · tensorflow.org · its alternatives →
4
A radically more scalable alternative to Bayesian Optimization▲96
Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
5AG
AlgoBuilder - Generate Python for Algorithmic Investing▲6
2014 · quantopian.com · its alternatives →
6
BigML▲64
Machine learning as a service - build predictive apps
2014 · bigml.com · its alternatives →
7
ADTK – new Python library for time series anomaly detection▲67
A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk
2019 · github.com · its alternatives →
8
PyBroker – Algotrading in Python with Machine Learning▲70
Hello, I am excited to share PyBroker with you, a free and open-source Python framework that I developed for creating algorithmic trading strategies, including those that utilize machine learning. With PyBroker, you can easily develop and fine-tune trading rules, build powerful ML models, and gain valuable insights into your strategy's performance. Some of the key features of PyBroker include: - A super-fast backtesting engine built using NumPy and accelerated with Numba. - The ability to create and execute trading rules and models across multiple instruments with ease. - Access to…
2023 · github.com · its alternatives →
9
Python Machine Learning▲80
Learning machine learning has never been easier
2017 · amazon.com · its alternatives →
10
PyPOTS▲67
a Python lib for data mining on PartiallyObserved TimeSeries
2023 · pypots.com · its alternatives →
11
Business Modeling and Data Mining▲67
how to solve real world problems with data minining
2015 · amazon.com · its alternatives →
12
Appelpy – library for easier regression modelling in Python▲56
Applied Econometrics Library for Python. Contribute to mfarragher/appelpy development by creating an account on GitHub.
2019 · github.com · its alternatives →
13
Chat With Traders x Quantopian: Machine learning in finance▲60
5/6 · The workflow of a professional quant trading firm.
2016 · soundcloud.com · its alternatives →
14
An Introduction to Statistical Learning▲60
How to implement the various methods in real life settings
2016 · its alternatives →
15
A reimplementation of Google's sparsehash in C▲22
A simple re-implementation of Google's sparsehash as a learning excercise. - qpfiffer/Simple-Sparsehash
2015 · github.com · its alternatives →
16
I built a deep learning engine from scratch in Python▲30
I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…
2025 · github.com · its alternatives →
17
I Wrote a Book on Evolutionary Algorithms with Python Notebooks▲13
Evolutionary Algorithms (EAs) are a fascinating class of algorithms for meta-heuristic optimisation. Perhaps the most difficult question to answer is where do we start? There is so much to cover, and many potential starting points.
2020 · datacrayon.com · its alternatives →
18
PyTorch▲5
Tensors and dynamic neural networks in Python
2017 · pytorch.org · its alternatives →
19HL
HFT-Like Trading Algo in 300 Lines of Python▲20
2019 · medium.com · its alternatives →
20UA
Upload a CSV file, get a Machine Learning model in 1 minute▲13
Hello! So, I am experimenting with new approaches to automated machine learning, where you don't need anything besides either data or prompt This is a first platform from my auto ml serie called Łukasiewicz (Jan Łukasiewicz was a logician who created Polish notation) I much appreciate your feedback and if you want to try it out, I created a -75% off promo code "HACKERNEWS" on credits, so it hopefully will cover at least some of computing expenses, but more importantly will let you play with the platform at almost no cost Thank you!
2024 · lukasiewicz.tmlc.pl · its alternatives →
21
High-performance mathematical paradigms in Python▲7
Improve the execution speed of pythonic paradigms.
2018 · medium.com · its alternatives →
22
BigGorilla▲5
Data Integration and Data Preparation in Python
2017 · biggorilla.org · its alternatives →
23
Ivy▲6
A static website generator built in Python
2018 · its alternatives →
24
TensorFlow▲17
An Open Source Library for Machine Intelligence (by Google)
2015 · tensorflow.org · 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 →