Showing 572 open source projects for "compiler python linux"

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  • 1
    type-challenges

    type-challenges

    Collection of TypeScript type challenges with online judge

    type-challenges is a massive set of TypeScript type-level puzzles that turn the compiler into a playground for metaprogramming. Each challenge is a miniature kata where you implement types that transform other types—parsing strings, inferring tuples, mapping unions—without writing any runtime code. Problems are arranged from warm-ups to brain-twisters, letting developers build intuition about distributive conditional types, inference in extends, variance, and other corner cases of the type...
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  • 2
    ts-blank-space

    ts-blank-space

    A small, fast, pure JavaScript type-stripper

    ts-blank-space is a fast type-stripping compiler that converts TypeScript to JavaScript. It supports a modern subset of TypeScript by erasing the types and replacing them with whitespace. That's it. It is not a type checker and does not perform any other code transformations. The underlying technique can improve build performance and simplify development. The implementation is pure TypeScript. It is simple enough to read and understand in a few minutes because it is only 700 lines of code...
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  • 3
    Pysheeet

    Pysheeet

    Python Cheat Sheet

    Pysheeet is a community-driven collection of Python code snippets covering common patterns and tasks like sockets, file I/O, data structures, and more. Each snippet is concise and battle-tested, designed to save coding time and reduce boilerplate. With documentation hosted on Read the Docs and an active GitHub repo, it’s a go-to resource for Python developers.
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  • 4
    PyExcelerate

    PyExcelerate

    Accelerated Excel XLSX Writing Library for Python 2/3

    Accelerated Excel XLSX writing library for Python. PyExcelerate is a Python for writing Excel-compatible XLSX spreadsheet files, with an emphasis on speed.
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  • 5
    Gonum

    Gonum

    Set of numeric libraries for the Go programming language

    ... you to get started with Go and Gonum if you are tired of sluggish performance, and fighting C and vectorization, and also if you are struggling with managing programs as they grow larger. Get Gonum if you want code to be fully transparent, and want the ability to read the source code you use. It is useful if you’d like a compiler to catch mistakes early, but hate fighting linker and unintelligible compile errors.
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  • 6
    Graphene

    Graphene

    GraphQL in Python Made Easy

    Graphene is a Python library for building GraphQL APIs fast and easily, using a code-first approach. Instead of writing GraphQL Schema Definition Langauge (SDL), Python code is written to describe the data provided by your server. Graphene helps you use GraphQL effortlessly in Python, but what is GraphQL? GraphQL is a data query language developed internally by Facebook as an alternative to REST and ad-hoc webservice architectures. With Graphene you have all the tools you need to implement...
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  • 7
    Honggfuzz

    Honggfuzz

    Security oriented software fuzzer

    honggfuzz is a general-purpose, high-performance fuzzer that mixes coverage feedback with practical crash triage to uncover memory-safety and logic bugs. It supports multiple fuzzing modes—stdin, file, and networking—so targets can be exercised the same way they run in production. Instrumentation via compiler hooks or hardware/perf counters guides mutations toward previously unseen edges, while persistent mode keeps the target process alive to amortize startup costs. The tool integrates tightly...
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  • 8
    Ammonite

    Ammonite

    Scala Scripting

    ... compilation and execution transparently. In the REPL, Ammonite can survive compiler errors (by restarting the compiler internally) and preserve session state, improving resilience compared to the default Scala REPL. It also integrates filesystem utilities and command-line abstractions (via Ammonite-Ops) so that common shell tasks become more Scala-native.
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  • 9
    Micronaut Data

    Micronaut Data

    Ahead of Time Data Repositories

    ... as you end up with duplicate meta-models. Micronaut Data instead moves this model into the compiler. Both GORM and Spring Data use regular expressions and pattern matching in combination with runtime generated proxies to translate a method definition on a Java interface into a query at runtime. No such runtime translation exists in Micronaut Data and this work is carried out by the Micronaut compiler at compilation time.
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  • 10
    go1pylib

    go1pylib

    go1pylib is a Python library designed to control the Go1 robot

    go1pylib is a Python library designed to control the Go1 robot by Unitree Robotics. It provides an easy-to-use interface for robot movement, state management, collision avoidance, battery monitoring, and MQTT communication. Ideal for research and robotics development.
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  • 11
    troposphere

    troposphere

    Python library to create AWS CloudFormation descriptions

    The troposphere library allows for easier creation of the AWS CloudFormation JSON by writing Python code to describe the AWS resources. troposphere also includes some basic support for OpenStack resources via Heat. To facilitate catching CloudFormation or JSON errors early the library has property and type checking built into the classes.
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  • 12
    PyOpenCL

    PyOpenCL

    OpenCL integration for Python, plus shiny features

    PyOpenCL is a Python wrapper for the OpenCL framework, providing seamless access to parallel computing on CPUs, GPUs, and other accelerators. It enables developers to harness the full power of heterogeneous computing directly from Python, combining Python’s ease of use with the performance benefits of OpenCL. PyOpenCL also includes convenient features for managing memory, compiling kernels, and interfacing with NumPy, making it a preferred choice in scientific computing, data analysis...
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  • 13
    PyJNIus

    PyJNIus

    Access Java classes from Python

    Pyjnius is a Python library for accessing Java classes. A Python module to access Java classes as Python classes using the Java Native Interface (JNI). Warning: the pypi name is now pyjnius instead of jnius. When you use autoclass, it will discover all the methods and fields of the class and resolve them. You can use the signatures method of JavaMethod and JavaMultipleMethod, to inspect the discovered signatures of a method of an object.
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  • 14
    FunctionalPlus

    FunctionalPlus

    Functional Programming Library for C++

    Great code should mostly be self-documenting, but while using C++ in reality you can find yourself dealing with low-level stuff like iterators or hand-written loops that distract from the actual essence of your code. FunctionalPlus is a small header-only library supporting you in reducing code noise and in dealing with only one single level of abstraction at a time. By increasing brevity and maintainability of your code it can improve productivity (and fun!) in the long run. It pursues these...
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  • 15
    lo

    lo

    A Lodash-style Go library based on Go 1.18+ Generics

    Samber/lo is a Lodash-style Go library based on Go 1.18+ Generics. This project started as an experiment with the new generics implementation. It may look like Lodash in some aspects. I used to code with the fantastic "go-funk" package, but "go-funk" uses reflection and therefore is not typesafe. As expected, benchmarks demonstrate that generics are much faster than implementations based on the "reflect" package. Benchmarks also show similar performance gains compared to pure for loops. In...
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  • 16
    asyncpg

    asyncpg

    A fast PostgreSQL Database Client Library for Python/asyncio

    asyncpg is a high-performance PostgreSQL client library designed for Python's asyncio framework. It offers a clean and efficient implementation of the PostgreSQL server binary protocol, enabling developers to execute database operations asynchronously. This approach allows for scalable and responsive applications that can handle numerous concurrent database connections.
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  • 17
    grafanalib

    grafanalib

    Python library for building Grafana dashboards

    Grafanalib is a Python library for building Grafana dashboards programmatically, allowing users to automate dashboard creation and configuration.
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  • 18
    xhtml2pdf

    xhtml2pdf

    A library for converting HTML into PDFs using ReportLab

    xhtml2pdf enables users to generate PDF documents from HTML content easily and with automated flow control such as pagination and keeping text together. The Python module can be used in any Python environment, including Django. The Command line tool is a stand-alone program that can be executed from the command line.
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  • 19
    PyTensor

    PyTensor

    Python library for defining and optimizing mathematical expressions

    PyTensor is a fork of Aesara, a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays. PyTensor is based on Theano, which has been powering large-scale computationally intensive scientific investigations since 2007. A hackable, pure-Python codebase. Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework...
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  • 20
    Secdev Scapy

    Secdev Scapy

    Scapy: the Python-based interactive packet manipulation program

    Scapy is a powerful interactive packet manipulation libary written in Python. Scapy is able to forge or decode packets of a wide number of protocols, send them on the wire, capture them, match requests and replies, and much more. Scapy can be used as a REPL or as a library. It provides all the tools and documentation to quickly add custom network layers. Scapy runs natively on Linux, macOS, most Unixes, and on Windows with Npcap. It is published under GPLv2. Starting from version 2.5.0...
    Downloads: 0 This Week
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  • 21
    ModernGL

    ModernGL

    Modern OpenGL binding for Python

    ModernGL is a Python wrapper over OpenGL, designed to simplify the creation of high-performance, modern graphics applications. It provides an intuitive API for rendering 2D and 3D graphics, making it accessible to both beginners and experienced developers. ModernGL is suitable for applications such as games, simulations, and data visualizations.
    Downloads: 0 This Week
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  • 22
    latexify

    latexify

    A library to generate LaTeX expression from Python code

    latexify_py converts small, math-heavy pieces of Python code into human-readable LaTeX that mirrors the intent of the computation, not just its surface syntax. It parses Python functions and expressions into an abstract syntax tree (AST), applies symbolic rewrites for common mathematical constructs, and then emits LaTeX that compiles cleanly in standard environments. Typical use cases include turning analytical utilities—like probability mass functions, activation formulas, or recurrence...
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  • 23
    Hera

    Hera

    Hera is an Argo Python SDK

    Hera is an Argo Python SDK. Hera aims to make the construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo.
    Downloads: 0 This Week
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  • 24
    Yandex Music API

    Yandex Music API

    Non-official Python library for works with API service Index

    This library provides Python interface for anyone undocumented and self-made API Yandex Music. It is compatible with Python 3.7 + and supports working with both synchronous and asyncio code. In addition to implementing a clean API, this library has a number of — high-level wrapping classes in order to make the development of customers and scripts simple and understandable. All documentation was written from scratch based on logical analysis during reverse development (reverse engineering) API.
    Downloads: 0 This Week
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  • 25
    AutoKeras

    AutoKeras

    AutoML library for deep learning

    AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the best...
    Downloads: 0 This Week
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