Search Results for "code"
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Showing 1798 open source projects for "code"
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OrcaSlicer
G-code generator for 3D printers
...It focuses on precision, calibration, speed, and broader printer compatibility for users who want more control over their prints. The software includes tools for slicing models, generating supports, tuning print parameters, and preparing high-quality G-code. It is popular among users who want advanced calibration workflows and flexible settings beyond basic slicer defaults. OrcaSlicer is also maintained with active community involvement, documentation, and frequent development builds. Its main value is helping 3D printing users optimize print quality across many machines while keeping the workflow accessible and open source. -
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PrusaSlicer
G-code generator for 3D printers (RepRap, Makerbot, Ultimaker etc.)
PrusaSlicer is an open-source slicing application that converts 3D models into printable instructions for 3D printers. It supports common model formats such as STL, OBJ, and AMF, then prepares them as G-code for FFF printers or image layers for resin-based mSLA printing. The software is based on Slic3r and has been expanded by Prusa Research with a strong focus on usability, print quality, and advanced configuration. It works with Prusa printers but is also compatible with many modern RepRap-style machines and controller systems. PrusaSlicer is useful for beginners who need reliable default profiles and experienced users who want fine control over print behavior. ... -
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NumPy
The fundamental package for scientific computing with Python
...NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Distributed under a liberal BSD license, NumPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community. Nearly every scientist working in Python draws on the power of NumPy. ... -
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Arduino libraries
Arduino libraries and code
This repository contains several Arduino libraries I have written to be used in applications. Most of them include example code on how the libraries can be used. Furthermore, this repository contains a few stand-alone applications. For bugs in the libraries, please fill in an issue in Github as that makes it far easier to track them. If possible provide a minimal code snippet that exposes the bug. Add information about the platform used and version etc. Also, proposals for solutions are welcome. ... -
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GHDL
VHDL 2008/93/87 simulator
This directory contains the sources of GHDL, the open-source analyzer, compiler, simulator and (experimental) synthesizer for VHDL, a Hardware Description Language (HDL). GHDL is not an interpreter: it allows you to analyze and elaborate sources for generating machine code from your design. Native program execution is the only way for high-speed simulation. Full support for the 1987, 1993, 2002 versions of the IEEE 1076 VHDL standard, and partial for the 2008 and 2019 revisions. By using a code generator (LLVM, GCC or, x86_64/i386 only, a built-in one), it is much faster than any interpreted simulator. ... -
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Qiskit
Qiskit is an open-source SDK for working with quantum computers
...Qiskit includes a comprehensive set of quantum gates and a variety of pre-built circuits so users at all levels can use Qiskit for research and application development. The transpiler translates Qiskit code into an optimized circuit using a backend’s native gate set, allowing users to program for any quantum processor or processor architecture with minimal inputs. Users can run and schedule jobs on real quantum processors, and employ Qiskit Runtime to orchestrate quantum programs on cloud-based CPUs, QPUs, and GPUs. -
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MCM-ICM
Mathematical Contest resources
...The contents skew toward MATLAB and LaTeX, reflecting the tools most winning teams use to build models and typeset their reports; you’ll typically see complete write-ups alongside code that implements optimization, simulation, statistical analysis, or other modeling pipelines. -
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Marlin
Optimized firmware for RepRap 3D printers based on Arduino platform
Marlin is a popular open source firmware for the RepRap family of 3D printers. It is straightforward, reliable, extensible and adaptable, which is why it is used by many respected commercial 3D printer vendors as well as hobbyists. It runs on inexpensive 8-bit Atmel AVR micro-controllers, with added support for 32-bit and ARM-based boards. Marlin builds can be small enough for use on a headless printer with only modest hardware, and features can be enabled as-needed. -
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AlphaGenome
Programmatic access to the AlphaGenome model
The AlphaGenome API provides access to AlphaGenome, Google DeepMind’s unifying model for deciphering the regulatory code within DNA sequences. This repository contains client-side code, examples, and documentation to help you use the AlphaGenome API. AlphaGenome offers multimodal predictions, encompassing diverse functional outputs such as gene expression, splicing patterns, chromatin features, and contact maps. The model analyzes DNA sequences of up to 1 million base pairs in length and can deliver predictions at single-base-pair resolution for most outputs. ... -
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10
Code_TYMPAN
Open source software calculating industrial noise in the environment
...By this mean, developers have the capability of building new tools with acoustic features with high productivity. Find useful resources in External Link : - Source Code, - User Documentation, - Developer Documentation, - DefaultSolver Note, - 9613Solver Note. -
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SymPy
A computer algebra system written in pure Python
SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously improved. A lot more people have also contributed to it, and used it in their projects. ... -
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
...PCL is cross-platform, and has been successfully compiled and deployed on Linux, MacOS, Windows, and Android. To simplify development, PCL is split into a series of smaller code libraries, that can be compiled separately. This modularity is important for distributing PCL on platforms with reduced computational or size constraints. -
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Gonum
Set of numeric libraries for the Go programming language
...We encourage 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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PicoGK
PicoGK is a compact and robust geometry kernel
PicoGK is a compact, open-source geometry kernel created by LEAP 71 for Computational Engineering. It is designed to let engineers generate complex physical objects through code instead of traditional manual CAD workflows. The library uses a deliberately reduced but powerful instruction set for building computational geometry. It supports geometry generation through voxel fields, lattices, implicit shapes, meshes, and robust Boolean operations. It can be used as the foundation for advanced engineered parts such as heat exchangers, electric motors, bio-inspired structures, and rocket engine components. ... -
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FourierFlows.jl
Tools for building fast, hackable, pseudospectral equation solvers
This software provides tools for partial differential equations on periodic domains using Fourier-based pseudospectral methods. A central intent of the software's design is also to provide a framework for writing new, fast solvers for new physical problems. The code is written in Julia. -
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J2ObjC
A Java to iOS Objective-C translation tool and runtime
J2ObjC is an open-source command-line tool from Google that translates Java source code to Objective-C for the iOS (iPhone/iPad) platform. This tool enables Java source to be part of an iOS application's build, as no editing of the generated files is necessary. The goal is to write an app's non-UI code (such as application logic and data models) in Java, which is then shared by web apps (using GWT), Android apps, and iOS apps. -
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Statistics
Detects usage of unsafe Rust in a Rust crate and its dependencies
A tool that lists statistics related to the usage of unsafe Rust code in a Rust crate and all its dependencies. -
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ThingPulse ESP8266 Weather Station
ESP8266 Weather Station library supporting OpenWeatherMap
...The simple class uses the header date and time to set the clock. NTP-based time class written by Fabrice Weinberg. We fixed many bugs and improved performance and changed the API a little bit. Either compare your code to the updated WeatherStationDemo or read through the upgrade guide. -
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Azure Quantum Development Kit
Azure Quantum Development Kit
...The playground is a small website that loads the Q# editor, compiler, samples, katas, and documentation for the standard library. It's a way to manually validate any changes you make to these components. The easiest way to develop in this repo is to use VS Code. When you open the project root, by default VS Code will recommend you install the extensions listed in .vscode/extensions.json. These extensions provide language services for editing, as well as linters and formatters to ensure the code meets the requirements (which are checked by the build.py script and CI). -
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Symbolics.jl
Symbolic programming for the next generation of numerical software
...It enables users to define, manipulate, and analyze mathematical expressions symbolically, with strong support for symbolic differentiation, simplification, equation solving, and code generation. Designed for use in scientific computing, machine learning, and engineering, Symbolics.jl integrates smoothly with Julia’s numerical ecosystem, allowing symbolic expressions to be compiled and optimized for high-speed evaluation. -
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OWASP Amass
In-depth attack surface mapping and asset discovery
The OWASP Amass Project has developed a tool to help information security professionals perform network mapping of attack surfaces and perform external asset discovery using open source information gathering and active reconnaissance techniques. The Open Web Application Security Project (OWASP) is a nonprofit foundation that works to improve the security of software. All of our projects ,tools, documents, forums, and chapters are free and open to anyone interested in improving application... -
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Arthas
Alibaba Java Diagnostic Tool
...However, this is tricky as some issues cannot be reproduced easily on a different environment, or even disappear once restarted. And if you're thinking of adding some logs to your code to help troubleshoot the issue, you will have to go through the following lifecycle; test, staging, and then to production. Time is money! This approach is inefficient! Besides, the issue may not be reproducible once the JVM is restarted, as described above. Arthas was built to solve these issues. -
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Cookiecutter Data Science
Project structure for doing and sharing data science work
...When we think about data analysis, we often think just about the resulting reports, insights, or visualizations. While these end products are generally the main event, it's easy to focus on making the products look nice and ignore the quality of the code that generates them. Because these end products are created programmatically, code quality is still important! And we're not talking about bikeshedding the indentation aesthetics or pedantic formatting standards, ultimately, data science code quality is about correctness and reproducibility. It's no secret that good analyses are often the result of very scattershot and serendipitous explorations. ... -
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Open Source Text to CAD Harness
An open source harness for generating CAD models
...It acts as a harness that converts text descriptions into source-controlled CAD scripts, which are then compiled into geometric models using tools like OpenCascade and build123d. The system emphasizes reproducibility by storing CAD logic as editable code rather than opaque binary files, allowing iterative refinement through agent-driven workflows. It includes a local visualization interface called CAD Explorer for inspecting generated geometry and supports multiple export formats for engineering and manufacturing use. The project also integrates modular “skills” for robotics, motion planning, and manufacturing validation, making it highly extensible. ... -
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Claude Scientific Skills
A set of ready to use Agent Skills for research, science, engineering
...Each skill bundles documentation, examples, and tool integrations so agents can reliably execute complex multi-step scientific workflows. The framework follows the open Agent Skills standard and works with multiple AI development environments including Claude Code, Cursor, and Codex. Its primary goal is to reduce the friction of scientific computing by giving AI agents structured access to specialized libraries, databases, and research pipelines. Overall, the repository acts as a modular capability layer that transforms general AI agents into domain-aware computational scientists.
