Search Results for "python compile source code" - Page 19
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Showing 2698 open source projects for "python compile source code"
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Optuna
A hyperparameter optimization framework
... and tables. You don't need to create a Python script to call Optuna's visualization functions. Automated search for optimal hyperparameters using Python conditionals, loops, and syntax. Efficiently search large spaces and prune unpromising trials for faster results. Parallelize hyperparameter searches over multiple threads or processes without modifying code. -
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Apollo iOS
A strongly-typed, caching GraphQL client for iOS, written in Swift
... of a query. If you don't ask for a field, you won't be able to access the corresponding property. In effect, this means you can now rely on the Swift type checker to make sure errors in data access show up at compile time. With our Xcode integration, you can conveniently work with your UI code and corresponding GraphQL definitions side by side, and it will even validate your query documents, and show errors inline. -
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Devicon
Set of icons representing programming languages, design & development
Devicon is a set of icons representing programming languages, designing, and development tools. You can use it as a font or directly copy/paste the SVG code into your project. Devicon aims to gather all logos representing development languages and tools. Each icon comes in several versions: font/SVG, original/plain/line, colored/not colored, wordmark/no wordmark. Devicon has 150+ icons. And it's growing! Open icomoon.io and import icomoon.json. Choose yes when being asked if you would like... -
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Dialyxir
Mix tasks to simplify use of Dialyzer in Elixir projects
Mix tasks to simplify use of Dialyzer in Elixir projects. Elixir 1.6 is required, to support the new pretty printing feature. If your project is not yet on 1.6, continue to specify 0.5 in your mix deps. Warning messages have been greatly improved, but are filtered through the legacy formatter to support your existing ignore files. You can optionally use the new Elixir term format for ignore files. You may want to use the --format short argument in your CI pipelines. There are several... -
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AWS Service Provider for Symfony
A Symfony bundle for including the AWS SDK for PHP
A Symfony bundle for including the AWS SDK for PHP. The AWS SDK for PHP makes it easy for developers to access Amazon Web Services in their PHP code, and build robust applications and software using services like Amazon S3, Amazon DynamoDB, Amazon Glacier, etc. You can get started in minutes by installing the SDK through Composer or by downloading a single zip or phar file from our latest release. By default, the configuration is handled by the SDK rather than by the bundle, and no validation... -
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Twin
Twin blends the magic of Tailwind with the flexibility of css-in-js
Twin blends the magic of Tailwind with the flexibility of CSS-in-js (emotion, styled-components, stitches, and goober) at build time. When babel runs over your javascript or typescript files at compile time, twin grabs your classes and converts them into CSS objects. These CSS objects are then passed into your chosen CSS-in-js library without the need for an extra client-side bundle. Twin collapses imports from common styling libraries into a single import. Adds no size to your build. Twin... -
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sbt
sbt, the interactive build tool
... (~), edit-compile-test loop is fast and incremental. Adding support for new tasks and platforms (like Scala.js) is as easy as writing build.sbt. Join 100+ community-maintained plugins to share and reuse sbt tasks. Continuous compilation and testing with triggered execution. Supports mixed Scala/Java projects. Supports testing with ScalaCheck, specs, and ScalaTest. JUnit is supported by a plugin. Starts the Scala REPL with project classes and dependencies on the classpath. -
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JSS
An authoring tool for CSS which uses JavaScript as a host language
A lib for generating Style Sheets with JavaScript. JSS is an authoring tool for CSS which allows you to use JavaScript to describe styles in a declarative, conflict-free and reusable way. It can compile in the browser, server-side or at build time in Node. JSS is framework agnostic. It consists of multiple packages, the core, plugins, framework integrations and others. If you’re interested in playing around with JSS, you can use an online code playground. Try a Hello World example... -
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SQLite.swift
A type-safe, Swift-language layer over SQLite3
SQLite.swift provides compile-time confidence in SQL statement syntax and intent. SQLite.swift provides a pure-Swift interface, a type-safe, optional-aware SQL expression builder. It also provides a flexible, chainable, lazy-executing query layer. Automatically-typed data access. A lightweight, uncomplicated query and parameter binding interface. Developer-friendly error handling and debugging. Full-text search support, well-documented, extensively tested. SQLCipher support via CocoaPods... -
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PromptTools
Open-source tools for prompt testing and experimentation
Welcome to prompttools created by Hegel AI! This repo offers a set of open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. The core idea is to enable developers to evaluate using familiar interfaces like code, notebooks, and a local playground. -
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Jupyter Notebook Tools for Sphinx
Sphinx source parser for Jupyter notebooks
nbsphinx is a Sphinx extension that provides a source parser for *.ipynb files. Custom Sphinx directives are used to show Jupyter Notebook code cells (and of course their results) in both HTML and LaTeX output. Un-evaluated notebooks – i.e. notebooks without stored output cells – will be automatically executed during the Sphinx build process. -
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Django-CRM
Open Source CRM based on Django
Django CRM is opensource CRM developed on django framework. It has all the basic features of CRM to start with. We welcome code contributions and feature requests via github. Create and activate a virtual environment. Install the project's dependency after activating env. -
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Helium
Lighter web automation with Python
Helium is a Python library built on top of Selenium to make browser automation more intuitive and human-friendly. It replaces verbose boilerplate code with natural language-like API calls such as click("Login") or write("hello", into="Name"). Helium manages browser setup, waits, and teardown, enabling quick development of scripts for testing, scraping, or task automation without requiring deep Selenium knowledge. -
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Hypothesis
The property-based testing library for Python
Hypothesis is a powerful library for property-based testing in Python. Instead of writing specific test cases, users define properties and Hypothesis generates random inputs to uncover edge cases and bugs. It integrates with unittest and pytest, shrinking failing examples to minimal reproducible cases. Widely adopted in production systems, Hypothesis boosts code reliability by exploring input spaces far beyond manually crafted tests. -
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Dask
Parallel computing with task scheduling
Dask is a Python library for parallel and distributed computing, designed to scale analytics workloads from single machines to large clusters. It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines. -
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Bracket
Selfhosted tournament system
Bracket is an open-source tool that tracks and manages data access across your PostgreSQL database. It provides visibility into which parts of your codebase are accessing which tables and columns, enabling data governance, security auditing, and architectural insights. Bracket is particularly helpful for growing teams needing better observability in complex applications. -
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Liger Kernel
Efficient Triton Kernels for LLM Training
Liger Kernel is a unified kernel developed by LinkedIn to streamline data science and machine learning workflows across different languages and tools. It provides a consistent interface for running code in various languages (such as Python, R, SQL) within a single Jupyter-like environment, enhancing productivity and collaboration for data scientists working in mixed-language projects. -
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WebArena
Code repo for "WebArena to build Autonomous Agents
WebArena is a realistic web environment designed for building and testing autonomous agents, providing a platform for developing web-based AI agents. -
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README-AI
README file generator, powered by AI
README-AI is an automated documentation generator that creates structured README files for GitHub repositories using AI-powered analysis. -
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Daft
Distributed DataFrame for Python designed for the cloud
...-of-core on a distributed cluster. Underneath its Python API, Daft is built in blazing fast Rust code. Rust powers Daft’s vectorized execution and async I/O, allowing Daft to outperform frameworks such as Spark. -
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TPOT
A Python Automated Machine Learning tool that optimizes ML
Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. -
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parallel-ssh
Asynchronous parallel SSH client library.
parallel-ssh is an asynchronous parallel SSH library designed for large-scale automation. It differentiates itself from alternatives, other libraries and higher-level frameworks like Ansible or Chef in several ways. -
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Coq Jupyter
Jupyter kernel for Coq
Make sure that CoqIDE (8.6 or newer) is installed and coqidetop or coqidetop.opt (coqtop for Coq versions before 8.9.0) is in your PATH. Also, make sure the python command is recognized on your machine. If not you can set up an alias for it e.g. python-is-python3 on Ubuntu. There are a number of convenience improvements over standard Jupyter notebook behavior that are implemented to support Coq-specific use cases. -
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omegaml
MLOps simplified. From ML Pipeline ⇨ Data Product without the hassle
omega|ml is the innovative Python-native MLOps platform that provides a scalable development and runtime environment for your Data Products. Works from laptop to cloud. -
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Kubernetes Operator Pythonic Framework
A Python framework to write Kubernetes operators in just a few lines
Kopf —Kubernetes Operator Pythonic Framework— is a framework and a library to make Kubernetes operator's development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic). The project was originally started as zalando-incubator/kopf in March 2019...
