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Dev tools · alternatives · 2026

24 alternatives to pypoLCA – Latent Class Analysis and Regression in Python

Contribute to marcandre259/pypolca development by creating an account on GitHub.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    A re-implementation of Karpathy's micrograd in C. Contribute to oraziorillo/microcrad development by creating an account on GitHub.

    Jun 2026 · github.com · its alternatives →

  2. 2

    Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…

    2022 · nlpdemystified.org · its alternatives →

  3. 3

    I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…

    2023 · github.com · its alternatives →

  4. 4

    Applied Econometrics Library for Python. Contribute to mfarragher/appelpy development by creating an account on GitHub.

    2019 · github.com · its alternatives →

  5. 5
    PyPOTS▲67

    a Python lib for data mining on PartiallyObserved TimeSeries

    2023 · pypots.com · its alternatives →

  6. 6

    built a tiny pytorch clone in c after going through prof. vijay janapa reddi's mlsys book: mlsysbook.ai/tinytorch/ perfect for learning how ml frameworks work under the hood :)

    Dec 2025 · github.com · its alternatives →

  7. 7

    Greetings! A 2.5 weekends project to teach myself newer Python features (>= 3.10). Conditions are written as Lambda expressions that annotate parameters and return types, and coexist with type annotations. Symbols to share values between conditions are also supported to a limited extend.

    2022 · github.com · its alternatives →

  8. 8

    Python to python compiler that allows you to use Python 3.6 features in older versions. - nvbn/py-backwards

    2017 · github.com · its alternatives →

  9. 9

    A Python toolkit for rule-based/unsupervised anomaly detection in time series - arundo/adtk

    2019 · github.com · its alternatives →

  10. 10

    My Machine Learning Web Service. Contribute to pplonski/my_ml_service development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  11. 11

    We’ve built a Python SDK for running inference on foundation models designed for time-series and tabular data. They are new SOTA models for time-series and tabular tasks and work out of the box. They do not require model training or feature engineering. The link to the GitHub repository is: https://github.com/S-FM/faim-python-client

    Dec 2025 · github.com · its alternatives →

  12. 12

    A Peer-to-Peer Learning Community for Python Developers

    2017 · pythonistacafe.com · its alternatives →

  13. 13
    GitHub▲12

    Pyali786/tutorial-py

    2025 · github.com · its alternatives →

  14. 14

    A Pratt Parser implementation in Python. Contribute to percolate/pratt-parser development by creating an account on GitHub.

    2017 · github.com · its alternatives →

  15. 15PL

    Hi! I’ve been working on this automatic scanner for ML models to detect issues like underperforming data slices, overconfidence in predictions, robustness problems, and others. It supports all main Python ML frameworks (sklearn, torch, xgboost, …) and integrates with the quality assurance solution we are building at Giskard AI (https://giskard.ai) to systematically test models before putting them in production. It is still a beta and I would love to hear your feedback if you have the time to try it out. We have quite a few tutorials in the docs with ready-made colab notebooks to…

    2023 · docs.giskard.ai · its alternatives →

  16. 16

    A handwritten multilayer perceptron classifer using numpy. - meetvora/mlp-classifier

    2016 · github.com · its alternatives →

  17. 17SR

    I maintain neat-python and have been building a genetic programming framework in Julia. While doing research on that project, I kept finding the same complaint in PySR's GitHub discussions: people give up not because symbolic regression doesn't work, but because getting Julia talking to Python is a repeated source of failure, especially on Windows and in notebooks. So I stood up Occam (occam.fit) — a hosted MCP server exposing two tools: run_sindy for sparse identification of dynamics from time series (seconds), and run_pysr for evolutionary symbolic regression returning a Pareto front of…

    Apr 2026 · occam.fit · its alternatives →

  18. 18

    Python Parser. Contribute to cesbit/pyleri development by creating an account on GitHub.

    2017 · github.com · its alternatives →

  19. 19

    Automatic test case generation for python and static analysis library - usagitoneko97/klara

    2021 · github.com · its alternatives →

  20. 20

    A minimal implementation of autograd (in pure Python) 🍰 - kennysong/minigrad

    2020 · github.com · its alternatives →

  21. 21

    A python library for self-supervised learning on images. - lightly-ai/lightly

    2023 · github.com · its alternatives →

  22. 22

    python notebooks for revising machine learning basics - paruby/ml-basics

    2018 · github.com · its alternatives →

  23. 23AG

    From understanding the basic rules and terminology to mastering advanced techniques, we will take you on a step-by-step journey to becoming an Andar Bahar pro

    2017 · pep8speaks.com · its alternatives →

  24. 24

    Naive Bayes with support for categorical and continuous data - remykarem/mixed-naive-bayes

    2019 · 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 →