Dev tools · alternatives · 2026
24 alternatives to Python Simulator of David Deutsch’s “Constructor Theory of Time”
Hi HN, I turned the freshly published paper “The Constructor Theory of Time” by David Deutsch and Chiara Marletto (arXiv, 13 May 2025) into an executable Python library. What you’ll find • One-to-one translation of the paper’s formalism: Substrates, Attributes, Tasks, Constructors, and task-algebra operators • Possibility / impossibility predicates and counterfactuals encoded exactly as defined • Test suite that mirrors every lemma and example (>95 % coverage, mypy-typed) • Reproductions of key results: time-keeping substrates, irreversibility proofs, quantum branching tasks, and a…
This Python library translates the mathematical formalism from David Deutsch and Chiara Marletto's "Constructor Theory of Time" paper into executable code. It includes implementations of core concepts like substrates… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Various ipython notebooks. Contribute to julienr/ipynb_playground development by creating an account on GitHub.
2017 · github.com · its alternatives →
- 2
Hello and happy new year! We're excited to introduce the Pyper package for concurrency & parallelism in Python. Pyper is a flexible framework for concurrent / parallel data processing, following the functional paradigm. Source code can be found on [github](https://github.com/pyper-dev/pyper) Key features: Intuitive API: Easy to learn, easy to think about. Implements clean abstractions to seamlessly unify threaded, multiprocessed, and asynchronous work. Functional Paradigm: Python functions are the building blocks of data pipelines. Let's you write clean, reusable…
2025 · github.com · its alternatives →
- 3
Hi HN! This is my pet project, written from scratch because there is so much to discover and learn in the process. The focus is on simplicity and incremental updates. Progress is slow because I do not have much spare time to work on this, but I would love to hear some feedback. Regards
2022 · github.com · its alternatives →
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An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing - zanellia/prometeo
2021 · github.com · its alternatives →
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Python library for creating data pipelines with chain functional programming - EntilZha/PyFunctional
2017 · github.com · its alternatives →
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Hey HN! I wrote a book on programming called The Elements of Code. I put the entire book online here: https://elementsofcode.io/ When mentoring (usually new) programmers, I noticed there were a few common mistakes that seemed to account for about 80% of the complexity in their code. I couldn’t find a concise guide to fixing those mistakes, so I decided to write one. The title is an homage to The Elements of Style by Strunk and White, which is the classic guide for communicating well using prose. That guide is quite tactical in nature, and I wanted to parallel its focus in The…
2021 · pragprog.com · its alternatives →
- 7
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 →
- 8
This project aims to formalize the first volume of Prof. Bertrand Russell’s Principia Mathematica using the Lean theorem prover. Throughout the formalization, I tried to rigorously follow Prof. Russell’s proof, with no or little added statements from my side, which were only necessary for the formalization but not the logical argument. Should you notice any inaccuracy (even if it does not necessarily falsify the proof), please let me know as I would like to proceed with the same spirit of rigour. Before starting this project, I had already found Prof. Elkind’s formalization of the Principia…
2025 · github.com · its alternatives →
- 9
I built a tiny 8-bit CPU simulator in Python to better understand how computers work at a low level. It visualizes registers, memory, and instructions in real-time, so you can actually see each operation as it happens. You can write simple assembly code and watch how the CPU executes it step by step. The project is mainly for learning and experimentation, but I’d love feedback or ideas for improvement.
Oct 2025 · github.com · its alternatives →
- 10
Simulate reverse causality using quantum suicide. Contribute to karldray/quantum development by creating an account on GitHub.
2016 · github.com · its alternatives →
- 11
A discrete-time Python-based solver for the Stochastic On-Time Arrival routing problem - mehrdadn/SOTA-Py
2017 · github.com · its alternatives →
- 12
A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile - target/matrixprofile-ts
2019 · github.com · its alternatives →
- 13
Haskell re-implementation of STOKE, the stochastic superoptimizer - blaze/notebooks/tutorial.ipynb at master · bollu/blaze
2019 · github.com · its alternatives →
- 14CA
2017 · billsix.github.io · its alternatives →
- 15
I started building a couple of years ago because I found no easy existing solution to build Slack bots that can be composed from/organized into plugins. Existing libraries like Bolt make it pretty easy to develop Slack bots, but hard to organize and scale the code base of your bot. I was also missing some crucial features such as scheduling actions for your bot. So I wrote my own framework! I recently rewrote the complete framework to make use of asyncio and the newest Slack SDK Let me know what you think!
2022 · github.com · its alternatives →
- 16
I built Copapy as an experiment: Can Python be used for hard real-time systems? Instead of an interpreter or JIT, Copapy builds a computation graph by tracing Python code and uses a custom copy-and-patch compiler. The result is very fast native code with no GC, no syscalls, and no memory allocations at runtime. The copy-and-patch compiler currently supports x86_64 as well as 32- and 64-bit ARM. It comes as small Python package with no other dependencies - no cross-compiler, nothing except Python. The current focus is on robotics and control systems in general. This project is early but…
Feb 2026 · github.com · its alternatives →
- 17
Stephen Wolfram's new book on the Wolfram Language
2015 · wolfram.com · its alternatives →
- 18
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 →
- 19
Hi everyone! I just released the Practical Python Projects book! (https://practicalpython.yasoob.me) I am happy to announce the first version as a release candidate. I have poured a lot of love into writing this book and would love to hear what you guys think. (A limited 100% off and discount coupons at the end) This is not a pure beginner book. The book does assume some background Python knowledge. You need to know the basics like methods, functions, classes, and such. If I use something that is not typically covered in beginner Python books, I will explain it before I use it.…
2021 · practicalpython.yasoob.me · its alternatives →
- 20MB
Beautiful Data Science
2020 · shahinrostami.com · its alternatives →
- 21
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 →
- 22
I started writing this book 10 years ago in JavaScript, got through a few chapters (asymptotic notation, basic techniques, start of sorting), and then abandoned it. Recently I picked it back up, converted everything to TypeScript, and used AI (Zenflow [1] + Claude Opus 4.6) to complete the remaining chapters. I provided the structure, direction, and initial chapters; the AI generated the bulk of the remaining content under a spec-driven workflow. The book covers roughly a first 1-2 year CS curriculum: sorting, dynamic programming, graph algorithms, trees, heaps, hash tables, and more. All…
Mar 2026 · amoilanen.github.io · its alternatives →
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Brainf**k with threads and assertions, written in Python - scotchfield/bf_py
2015 · github.com · its alternatives →
- 24
Hey HN! I've been curious about the history of computer science and decided to try to read Turing's 1936 paper where he conceptualizes the Turing Machine, etc. I had trouble understanding the paper, read The Annotated Turing by Charles Petzold (which is wonderful), but felt that reading a reference implementation would help formalize my understanding. When I couldn't find an open source implementation, I decided to write my own. The implementation includes: - Abbreviated tables (m-functions) - Conversions to Standard Descriptions and Description Numbers - A working universal machine - A…
2023 · github.com · its alternatives →
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