Search Results for "compiler python linux" - Page 7
Sort By:
Showing 18192 open source projects for "compiler python linux"
View related business solutions-
Resolve Support Tickets 2x Faster with ServoDeskWhat if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
-
Gen AI apps are built with MongoDB AtlasMongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
-
1
Opal
Opal is a Ruby to JavaScript source-to-source compiler
Opal is a Ruby to JavaScript source-to-source compiler. It comes packed with the Ruby corelib you know and love. It is both fast as a runtime and small in its footprint. The lib directory holds the Opal parser/compiler used to compile Ruby into JavaScript. It is also built ready for the browser into opal-parser.js to allow compilation in any JavaScript environment. This directory holds the Opal runtime and corelib implemented in Ruby and JavaScript. opal-parser allows you to eval Ruby code... -
2
F´
A flight software and embedded systems framework
...It has been used for but is not limited to, CubeSats, SmallSats, instruments, and deployable. Component architecture with well-defined interfaces. To develop applications with F´, the following requirements of the user’s system must be met, Linux or Mac OS X operating system (or Windows Subsystem for Linux on Windows), CMake, Bash or Bash compatible shell, Clang or GCC compiler, Python 3 and PIP. F´ can be quickly installed and ready to use by cloning the GitHub repository, installing Python code (typically in a virtual environment), and building one of our reference applications. -
3
4tH compiler
A Forth compiler with a little difference
4tH is a Forth compiler with a little difference. Instead of the standard Forth engine it features a conventional compiler. 4tH is a very small compiler that can create bytecode, C-embeddable bytecode, standalone executables, but also works fine as a scripting language. It supports about 95% of the ANS Forth CORE wordset and features conditional compilation, pipes, files, assertions, forward declarations, enumerations, structures, suspended execution, recursion, include files, etc. It comes... -
4
Lightweight Slackware modification. Desktop-centric applications built on up-to-date libraries and easy on hardware resources. Kinda Slackware without lots of work to start out...
-
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
5
OneFlow
OneFlow is a deep learning framework designed to be user-friendly
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. An extension for OneFlow to target third-party compiler, such as XLA, TensorRT and OpenVINO etc.CUDA runtime is statically linked into OneFlow. OneFlow will work on a minimum supported driver, and any driver beyond. For more information. Distributed performance (efficiency) is the core technical difficulty of the deep learning framework. OneFlow focuses on performance improvement and heterogeneous... -
6
GPT4All
Run Local LLMs on Any Device. Open-source
GPT4All is an open-source project that allows users to run large language models (LLMs) locally on their desktops or laptops, eliminating the need for API calls or GPUs. The software provides a simple, user-friendly application that can be downloaded and run on various platforms, including Windows, macOS, and Ubuntu, without requiring specialized hardware. It integrates with the llama.cpp implementation and supports multiple LLMs, allowing users to interact with AI models privately. This... -
7
AWS Secrets Manager Python caching
Enables in-process caching of secrets for Python applications
The AWS Secrets Manager Python caching client enables in-process caching of secrets for Python applications. To use this client you must have Python 3.6 or newer. Use of Python versions 3.5 or older are not supported. An Amazon Web Services (AWS) account to access secrets stored in AWS Secrets Manager. To create an AWS account, go to Sign In or Create an AWS Account and then choose I am a new user. Follow the instructions to create an AWS account. To create a secret in AWS Secrets Manager,... -
8
ProtoBuf.jl
Julia protobuf implementation
This is a Julia package that provides a compiler and a codec for Protocol Buffers. Protocol Buffers are a language-neutral, platform-neutral extensible mechanism for serializing structured data. -
9
Amazon CodeGuru Profiler Python Agent
Amazon CodeGuru Profiler Python Agent
Amazon CodeGuru Profiler collects runtime performance data from your live applications and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is... -
Dun and Bradstreet Risk Analytics - Supplier IntelligenceRisk, procurement, and compliance teams across the globe are under pressure to deal with geopolitical and business risks. Third-party risk exposure is impacted by rapidly scaling complexity in domestic and cross-border businesses, along with complicated and diverse regulations. It is extremely important for companies to proactively manage their third-party relationships. An AI-powered solution to mitigate and monitor counterparty risks on a continuous basis, this cutting-edge platform is powered by D&B’s Data Cloud with 520M+ Global Business Records and 2B+ yearly updates for third-party risk insights. With high-risk procurement alerts and multibillion match points, D&B Risk Analytics leverages best-in-class risk data to help drive informed decisions. Perform quick and comprehensive screening, using intelligent workflows. Receive ongoing alerts of key business indicators and disruptions.
-
10
AWS X-Ray SDK for Python
AWS X-Ray SDK for the Python programming language
AWS X-Ray SDK for the Python programming language. The AWS X-Ray SDK for Python is compatible with Python 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, and 3.9. X-Ray Python SDK will by default generate no-op trace and entity id for unsampled requests and secure random trace and entity id for sampled requests. If customer wants to enable generating secure random trace and entity id for all the (sampled/unsampled) requests (this is applicable for trace id injection into logs use case) then they should set... -
11
CWhy
Explains and suggests fixes for compile-time errors for C, C++, C#, Go
Explains and suggests fixes for compiler error messages for a wide range of programming languages, including C, C++, C#, Go, Java, LaTeX, PHP, Python, Ruby, Rust, Swift, and TypeScript. CWhy needs to be connected to an OpenAI account or an Amazon Web Services account. Your account will need to have a positive balance for this to work (check your OpenAI balance). CWhy currently defaults to GPT-4, and falls back to GPT-3.5-turbo if a request error occurs. -
12
AWS Neuron
Powering Amazon custom machine learning chips
AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can... -
13
Amazon DynamoDB Encryption Client Python
Amazon DynamoDB Encryption Client for Python
The Amazon DynamoDB Encryption Client for Python provides client-side encryption of Amazon DynamoDB items to help you to protect your table data before you send it to DynamoDB. It provides an implementation of the Amazon DynamoDB Encryption Client that is fully compatible with the Amazon DynamoDB Encryption Client for Java. The helper clients provide a familiar interface but the actual item encryption and decryption is handled by a low-level item encryptor. You usually will not need to... -
14
CodeChecker
CodeChecker is an analyzer tooling, defect database
CodeChecker is a static analysis infrastructure built on the LLVM/Clang Static Analyzer toolchain, replacing scan-build in a Linux or macOS (OS X) development environment. Executes Clang-Tidy and Clang Static Analyzer with Cross-Translation Unit analysis, Statistical Analysis (when checkers are available). Creates the JSON compilation database by wiretapping any build process (e.g., CodeChecker log -b "make"). Automatically analyzes GCC cross-compiled projects: detecting GCC or Clang compiler configuration and forming the corresponding clang analyzer invocations. ... -
15
Streamlit
The fastest way to build data apps in Python
...Effortlessly share, manage and deploy your apps, directly from Streamlit. Streamlit lets you turn data scripts into sharable web apps in minutes, not weeks. It’s all Python, open-source, and free! And once you’ve created an app you can use our cloud platform to deploy, manage, and share your app! Streamlit can also be installed in a virtual environment on Windows, Mac, and Linux. -
16
Sherlock
Hunt down social media accounts by username across social networks
Hunt down social media accounts by username across 400+ social networks. -
17
PyQuil
A Python library for quantum programming using Quil
PyQuil is a Python library for quantum programming using Quil, the quantum instruction language developed at Rigetti Computing. PyQuil serves three main functions. PyQuil has a ton of other features, which you can learn more about in the docs. However, you can also keep reading below to get started with running your first quantum program. Without installing anything, you can quickly get started with quantum programming by exploring our interactive Jupyter Notebook tutorials and examples. To... -
18
Kotlin multiplatform
Kotlin multiplatform / multi-format serialization
Kotlin serialization consists of a compiler plugin, that generates visitor code for serializable classes, a runtime library with core serialization API, and support libraries with various serialization formats. Using Kotlin Serialization requires Kotlin compiler 1.4.0 or higher. Make sure you have the corresponding Kotlin plugin installed in the IDE, no additional plugins for IDE are required. -
19
ClojureScript
Compiler for Clojure that targets JavaScript
ClojureScript is a compiler for Clojure that targets JavaScript. It is designed to emit JavaScript code which is compatible with the advanced compilation mode of the Google Closure optimizing compiler. Clojure is a dynamic, general-purpose programming language supporting interactive development. Clojure is a functional programming language featuring a rich set of immutable, persistent data structures. As a dialect of Lisp, it has a code-as-data philosophy and a powerful macro system. Clojure... -
20
Owncast
Take control over your live stream video by running it yourself
Owncast is a free and open source live video and web chat server for use with existing popular broadcasting software. Have complete control and ownership over your stream, allowing you to create the content and community you want. The frictionless built-in chat allows your viewers to be a part of the action. Include custom emotes and build chat bots to encourage engagement from your viewers. Point your existing broadcasting software at your Owncast server and begin streaming. Owncast can... -
21
Swift Numerics
Advanced mathematical types and functions for Swift
Swift Numerics is a foundational library that extends the Swift standard library with essential numerical protocols, types, and functions needed for scientific and systems programming. It defines generic abstractions over real and complex numbers so algorithms can be written once and work across concrete floating-point types. The package includes RealModule utilities and a full Complex type with the expected arithmetic and transcendental functions, bridging a long-standing gap for numerics... -
22
BetaML.jl
Beta Machine Learning Toolkit
...Thanks to its JIT compiler, Julia is indeed in the sweet spot where we can easily write models in a high-level language and still have them running efficiently. -
23
JUDI.jl
Julia Devito inversion
JUDI is a framework for large-scale seismic modeling and inversion and is designed to enable rapid translations of algorithms to fast and efficient code that scales to industry-size 3D problems. The focus of the package lies on seismic modeling as well as PDE-constrained optimization such as full-waveform inversion (FWI) and imaging (LS-RTM). Wave equations in JUDI are solved with Devito, a Python domain-specific language for automated finite-difference (FD) computations. JUDI's modeling... -
24
Keras
Python-based neural networks API
Python Deep Learning library -
25
Pisi Linux
Our work is moved to https://gitlab.com/PisiLinux
Our work is moved to https://gitlab.com/PisiLinux
